Data Entry Jobs in Kuwait

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>ABOUT THE ENGAGEMENT Capitex is a specialist Financial Crime Compliance talent provider.<br> We are building a fraud operations team for a 6-month staffing engagement with a leading Kuwaiti bank's 24/7 digital fraud operations function.<br> This is a 6-month consultancy engagement with a defined delivery model: the first two months are delivered fully remotely, and from Month 3 the role relocates onsite to the bank's offices in Kuwait City for the remainder of the term.<br> Onsite presence in Kuwait from Month 3 is a firm requirement of the role, not a preference - please only apply if you are genuinely able and willing to relocate for the onsite phase.<br> THE ROLE You will be the analytical engine of the fraud operations team: turning alert, transaction and case data into detection improvements, management information and tuning decisions.<br> You will work under the bank's direction, alongside Capitex L1 and L2 analysts and a senior fraud investigator, and be the bridge between what the operation sees and what the detection estate does.<br> WHAT YOU WILL DO - Analyse fraud alert and case data to identify trends, emerging typologies, detection gaps and false-positive drivers.<br> - Support rule and threshold tuning on the bank's fraud monitoring platform - build the evidence base, model the impact, and document proposed changes for the bank's approval.<br> - Design and produce operational MI: alert volumes, disposition outcomes, SLA performance, fraud losses and prevented losses, shift-level throughput.<br> - Build and maintain dashboards and recurring reporting for the fraud operations leadership team.<br> - Support post-incident and thematic reviews with data deep-dives.<br> - Work with L2 and the senior investigator to convert case observations into measurable detection improvements.<br> ENGAGEMENT DETAILS - 6-month consultancy agreement with Capitex, with extension possible on client renewal.<br> - Competitive all-inclusive monthly consultancy fee, with an additional housing allowance during the onsite phase.<br> - Visa, work authorisation and payroll for the Kuwait onsite phase are arranged and sponsored through our employer-of-record partner.<br> - Laptop (Dell Latitude) provided by Capitex; client systems access configured by the bank.<br> Commencement is aligned to contract mobilisation - indicative start August 2026, confirmed at offer stage WHAT WE ARE LOOKING FOR - 3+ years in data analytics within fraud, financial crime or banking operations.<br> - Strong SQL is essential; Python or R for analysis is a strong plus.<br> - Experience with BI/visualisation tools (Power BI, Tableau or equivalent) and building operational dashboards.<br> - Familiarity with fraud detection platforms and alert data structures (FICO Falcon, Actimize, SAS or equivalent) - enough to interrogate their output and support tuning.<br> - Ability to present analysis clearly to operational and senior stakeholders in English.<br> - Confirmed availability for an August 2026 start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Overview Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. Data Center Storage Engineers support the enterprise storage infrastructure for all sites within the RCC-SWA Area of Responsibility and provide optimization, administration, and technical documentation for the enterprise storage infrastructure. DCSEs resolve enterprise-level change requests and act as the top-level of support escalation for all enterprise storage support issues. Principal technical areas include NetApp, EMC, VMware, Windows DFS, Cisco UCS and other related storage, virtualization, networking, and monitoring technologies. Program: OMDAC-SWACA This position offers company-paid housing and transportation, a completion bonus and tuition reimbursement program! You must satisfy all host country requirements to legally work in the host country to include but not limited to the ability to obtain and maintain a host nation visa and host nation driver’s license in order to be qualified for this position. Responsibilities + Enterprise-level support for NetApp CIFS, NFS, iSCSI and FC/FCoE storage presented to a wide array of systems including VMware ESXi, Unix, and Linux clients as well as Windows file services and desktop clients. Periodic reports on storage capacity and utilization as well as system uptime and performance. + Top-tier support for escalated issues and complex projects. Daily monitoring of all enterprise storage for integrity, reliability, resource utilization and availability. + Log review and issue reporting related to monitoring of temperature and overall storage health throughout the SWA AOR. + Configure and provision VMware storage requirements. + Plan, install, configure, and upgrade the NetApp storage infrastructure. + The top-tier of support for storage projects and solutions for backup, disaster recovery, consolidation/de-duplication, data protection, performance, upgrades, and system audit tasks. + Documentation for Tactics, Techniques, and Procedures (TTPs) for configuring and managing storage, storage networks, and physical disks as well as data protection, access control, resource monitoring and management, storage high availability, fault tolerance and scalable storage infrastructure. + Review IAVA report and coordinate with all subordinate elements to remediate accordingly. + Provide updated Patch for remediation and Firmware updates based on vendor distribution. + Performs other duties and assignments as required Qualifications + Qualifications + Security Clearance: + Requires an active Secret Clearance + Education / Certifications: One-year related experience can be substituted for one year of education if the degree is required. + Bachelor’s Degree or equivalent experience preferably in Computer Science or MIS, IS, Engineering or related field. + This position requires candidates to adhere to DoD 8570.01M. All candidates are required to maintain at least one (1) baseline certification and one (1) computing environment (CE) certification. Baseline certifications cannot also be used as a Computing Environment (CE) certification. + The authorized certifications for this job title are listed as follows: + Baseline: + Cisco: CCNP: Certified Network Professional - Security + CompTIA: CASP+ ce: Advanced Security Practitioner + CompTIA: SecurityX ce + GIAC: GCED: Certified Enterprise Defender + GIAC: GCIH: Certified Incident Handler: Certified Incident Handler + ISACA: CISA: Certified Information Systems Auditor + ISC2: CCSP: Certified Cloud Security Professional + ISC2: CISSP (or Associate): Certified Information Systems Security Professional + Computing Environment (CE): + CNFDS: Cisco and NetApp Flexpod Design Specialist + CNFIAS: Cisco and NetApp Flexpod Implementation and Administration Specialist + NetApp: NCDA: Certified Data Administrator, ONTAP + NetApp: NCHCA: Certified Hybrid Cloud Administrator + NetApp: NCHCA: Certified Hybrid Cloud Architect + NetApp: NCIE-DPS: Certified Implementation Engineer - Data Protection Specialist + NetApp: NCIE-O-S: Certified Implementation Engineer, ONTAP Specialist + NetApp: NCIE-SAN: Certified Implementation Engineer - SAN Specialist, ONTAP + NetApp: NCIE-SS: Certified Implementation Engineer - SAN Specialist, E-Series + NetApp: NCSE: Certified Storage Engineer + NetApp: NCSIE: Certified Storage Installation Engineer, ONTAP + VMware: VCP-DCV: Certified Professional - Data Center Virtualization (7 and above) + VMware: VCAP-DCV: Certified Advanced Professional - Data Center Virtualization (Deploy) + VMware: VCAP-DCV: Certified Advanced Professional - Data Center Virtualization (Design) + VMware: VCDX-DCV: Certified Design Expert - Data Center Virtualization + Experience: One year of related academic study above the high school level may be substituted for one year of experience up to a maximum of a 4-year bachelor's degree in a Software Engineering or Business Information Systems discipline for three years general experience. + At least five years of practical experience working with various data (network and system) technologies. + Candidate must have a working knowledge of CIFS, NFS, FC, server, storage, and desktop virtualization technologies and iSCSI protocols. Hands on experience with NetApp On-Command System Manager and Data ONTAP command-line interface (CLI). + Must have NetApp configuration and administration experience and understand NetApp replication technologies. + Experienced with FC/SAN switches and directors. Experienced with NetApp Data ONTAP configuration and tuning. Experienced with regular and virtualization storage capacity planning and reporting. + Experience with a customer service-oriented company. + Skills &amp; Technology Used: + Ability to troubleshoot servers and infrastructure equipment, assess networking requirements and provide solutions, and make accurate and independent decisions under pressure. + Excellent organizational, interpersonal, written, and verbal communication skills. + Ability to perform comfortably in a fast-paced, deadline-oriented work environment and to successfully execute many complex tasks simultaneously. + Working knowledge of server, storage, and desktop virtualization technologies. + Working knowledge with vSphere client, ESXCLI, and PowerCLI. + Ability to configure and administer VMware vSphere 7.0 +. + Ability to manage Cisco UCS, C-series, and B-series servers. + Understands virtualization capacity planning and reporting. At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the Role <br> <p><span>The Data Engineer (AI/ML) builds and operates data pipelines, feature stores, and data infrastructure that enable AI use cases across Zain Group. This role serves as the critical bridge between OpCo data systems, Group Data CoE, and AI delivery teams - ensuring clean, accessible, high-quality data is available for AI model training, inference, and analytics. The Data Engineer coordinates data access across 6 OpCos, assesses and remediates data quality issues, implements data governance for AI, and supports GenAI engineers with data for RAG pipelines. This role requires both technical data engineering skills and the stakeholder management capability to navigate complex data ownership and access politics across a federated organization.</span></p><br> <br> <br><br> Key Accountabilities <br> <ul><li><p><span>Build and operate data pipelines for AI use cases including ETL/ELT from OpCo BSS/OSS and enterprise systems</span></p><br></li><li><p><span>Create and maintain feature stores for ML models ensuring data quality, lineage, and governance</span></p><br></li><li><p><span>Coordinate data access with OpCo IT teams, Group Data CoE, and data governance functions</span></p><br></li><li><p><span>Assess data quality, completeness, and fitness-for-purpose for AI initiatives and drive remediation</span></p><br></li><li><p><span>Implement data governance controls for AI including privacy, consent, retention, and audit requirements</span></p><br></li><li><p><span>Support GenAI/RAG engineers with data preparation, ingestion, and optimization for vector databases</span></p><br></li><li><p><span>Design and implement data architectures for real-time and batch AI workloads</span></p><br></li><li><p><span>Monitor data pipeline health, performance, and SLAs with proactive issue resolution</span></p><br></li><li><p><span>Document data assets, schemas, and lineage in data catalog for discoverability and reuse</span></p><br></li><li><p><span>Partner with OpCo data engineers on data quality improvements and standardization initiatives</span></p><br></li></ul><p><span>KPIs can include but are not limited to:</span></p><br><ul><li><p><span>Data availability: percentage of required data sources accessible and pipeline-ready for AI use cases</span></p><br></li><li><p><span>Data quality: data quality scores (completeness, accuracy, timeliness) meeting AI requirements</span></p><br></li><li><p><span>Pipeline reliability: uptime and performance of data pipelines meeting defined SLAs</span></p><br></li><li><p><span>Time-to-data: average time from data requirement to production-ready data pipeline</span></p><br></li><li><p><span>Stakeholder satisfaction: OpCo and AI team satisfaction with data engineering support</span></p><br></li></ul> <br> <br><br> What We Need From You <br> <p><span>Educational Qualification: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field.</span></p><br><p><span>Experience: 5-8 years in data engineering with 2+ years focused on AI/ML data pipelines. Hands-on experience with feature stores, data quality, and large-scale data processing. Experience in telecom domain with BSS/OSS data systems highly valuable.</span></p><br><p><span>Knowledge: Strong expertise in data engineering tools and platforms (Spark, Airflow, Kafka, cloud data platforms). Experience with feature stores, data quality frameworks, and ML data pipelines. Understanding of data governance, privacy, and compliance. SQL and Python proficiency. Knowledge of vector databases and embeddings for GenAI advantageous.</span></p><br> <br> <br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Build and operate data pipelines for AI use cases including ETL/ELT from OpCo BSS/OSS and enterprise systems</p> <p>Create and maintain feature stores for ML models ensuring data quality, lineage, and governance</p> <p>Coordinate data access with OpCo IT teams, Group Data CoE, and data governance functions</p> <p>Assess data quality, completeness, and fitness-for-purpose for AI initiatives and drive remediation</p> <p>Implement data governance controls for AI including privacy, consent, retention, and audit requirements</p> <p>Support GenAI/RAG engineers with data preparation, ingestion, and optimization for vector databases</p> <p>Design and implement data architectures for real-time and batch AI workloads</p> <p>Monitor data pipeline health, performance, and SLAs with proactive issue resolution</p> <p>Document data assets, schemas, and lineage in data catalog for discoverability and reuse</p> <p>Partner with OpCo data engineers on data quality improvements and standardization initiatives</p> <p><strong>KPIs can include but are not limited to:</strong></p> <ul> <li>Data availability: percentage of required data sources accessible and pipeline-ready for AI use cases</li> <li>Data quality: data quality scores (completeness, accuracy, timeliness) meeting AI requirements</li> <li>Pipeline reliability: uptime and performance of data pipelines meeting defined SLAs</li> <li>Time-to-data: average time from data requirement to production-ready data pipeline</li> <li>Stakeholder satisfaction: OpCo and AI team satisfaction with data engineering support</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Educational Qualification: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related technical field.</p> <p>Experience: 5-8 years in data engineering with 2+ years focused on AI/ML data pipelines. Hands-on experience with feature stores, data quality, and large-scale data processing. Experience in telecom domain with BSS/OSS data systems highly valuable.</p> <p>Knowledge: Strong expertise in data engineering tools and platforms (Spark, Airflow, Kafka, cloud data platforms). Experience with feature stores, data quality frameworks, and ML data pipelines. Understanding of data governance, privacy, and compliance. SQL and Python proficiency. Knowledge of vector databases and embeddings for GenAI advantageous.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The ultimate result of this consultancy is a comprehensive National Environmental Data Management Plan for Kuwait, providing a strategic and operational framework for the systematic collection, integration, classification, and sharing of environmental data across government entities.</p><p>Work Location Home based Expected duration 4 months</p><p>Duties and Responsibilities</p><ol><li>Organizational Setting, Purpose, and Objective: The United Nations Environment Programme (UNEP) is the leading global environmental authority that sets the global environmental agenda, promotes the coherent implementation of the environmental dimension of sustainable development within the United Nations system and serves as an authoritative advocate for the global environment. The Regional Office for West Asia (ROWA), Based in Beirut, Lebanon, supports countries in the region through advisory services, capacity-building, and technical assistance to achieve their national environmental and sustainable development goals. In line with its mandate, UNEP ROWA is collaborating with the Environment Public Authority (EPA) of the State of Kuwait to support the development of a National Environmental Data Management Plan. This initiative aims to strengthen Kuwait s environmental data infrastructure by establishing a strategic and operational framework for the collection, integration, sharing, and use of environmental data, in line with international best practices. More specifically, the project will support the systematic and periodic exchange of data across government entities, enhance transparency, and promote evidence-based environmental decision-making through the availability of accurate, reliable, and timely data. To support the successful implementation of this initiative, UNEP ROWA seeks to engage a well-qualified international consultant to manage and deliver the responsibilities outlined in this Terms of Reference (TOR). The consultant will work under the supervision of the Regional Coordinator managing the project.</li><li>Duties and Responsibilities: Under the direct supervision of the designated Programme Management Officer at UNEP ROWA, the selected consultant will carry-out, inter alia, the following duties and responsibilities:</li></ol><p>(A) Development of the Draft Table of Contents for the Final National Environmental Data Management Plan As the first key task under this consultancy, the consultant shall develop and submit a proposed Table of Contents (ToC) for the final National Environmental Data Management Plan. This ToC will outline the anticipated structure, content, and logical flow of the final deliverable, including all core chapters, annexes, and any proposed supporting documentation (e.g., legal frameworks, SOPs, institutional charts). The Table of Contents should reflect:</p><ul><li>A clear understanding of the project's scope, objectives, and strategic relevance through the clarity, structure, and sequencing of chapter titles. Chapter names should reflect the key thematic and functional areas of the plan, such as legal frameworks, institutional arrangements, data governance mechanisms, and implementation strategies.</li><li>Logical structuring of technical, legal, institutional, and operational elements;</li><li>Integration of stakeholder engagement, international best practices, and implementation considerations;</li><li>Alignment with Kuwait s environmental law and national development priorities (e.g., Vision 2040);</li><li>Key enablers such as digital infrastructure, capacity building, and data transparency.</li></ul><p>This draft ToC will serve as the first milestone deliverable and must be approved by UNEP and the Environment Public Authority (EPA) before proceeding to subsequent activities. It will guide the format and content of the final strategy and implementation plan and may be revised as needed based on findings from the baseline assessment and consultations.</p><p>(B) Research, Data Collection, Case Study, and Gap Identification Conduct a comprehensive review of the current environmental data landscape in Kuwait, including:</p><ul><li>o Institutional roles and responsibilities;</li><li>o Existing data collection systems and platforms;</li><li>o Data flow pathways and inter-agency coordination mechanisms.</li></ul><p>Collect and catalogue existing datasets, assess data quality, availability, frequency of collection, and level of accessibility. Identify and document case studies of relevant international or regional best practices in environmental data management. Map existing data sources, flows, formats, and classifications across government entities Analyze the legal and institutional context to determine the alignment of national laws with global standards. Conduct a gap analysis to identify:</p><ul><li>o Challenges related to data ownership, reliability, consistency, privacy and accessibility;</li><li>o Duplications, fragmentation, or missing data;</li><li>o Inconsistencies in data formats or standards;</li><li>o Barriers to data sharing or integration across agencies.</li></ul><p>Evaluate current capacity and infrastructure for electronic data integration and identify areas for improvement. Provide guidance on the digital processes for data collection, validation, and reporting. Define digital and manual data workflows that allow phased automation and integration with platforms like eMISK.</p><p>(C) Stakeholder Engagement and Consultation Lead consultations with national stakeholders to assess current environmental data sharing practices and gaps. Design and facilitate a participatory consultation process with stakeholders Identify sector-specific data needs, sensitivities, and existing data-sharing practices. Document stakeholder feedback to inform the vision, objectives, and structure of the plan.</p><p>Deliverables:</p><p>National Environment Data Management Strategy and Plan:</p><ul><li>D1: Draft Table of Contents for the Final National Environmental Data Management Plan</li><li>D2: Situational Analysis - Comprehensive study detailing the existing environmental data landscape in Kuwait, digital readiness and gap analysis, including data system maturity and interoperability challenge.</li><li>D3: Develop a report summarizing consultations with stakeholders, including the defined vision, objectives, and identified data needs.</li><li>D4: Proposed data classification and data governance framework (including public vs. internal rules) aligned with national digital policies.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">An advanced university degree (master s or equivalent) in Environmental Science/Engineering, Public Administration, Data Science, Environmental Databases, Environment Information Systems or another relevant field is required. A first-level university degree, combined with two (2) additional years of qualifying experience, may be accepted in lieu of an advanced university degree. A minimum of 7 years of work experience related to data management, data governance, data systems, policy analyses, digital transformation or any other relevant field is required. Experience in knowledge sharing, communication and capacity building is a strong asset. Previous experience in the conception of reports is required. Knowledge of the state of environment in Kuwait and the West Asia region is desirable Excellent communication and stakeholder management skills is required. Ability to work independently is required. Languages Fluency in written and spoken English and Arabic is required.</p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The AI and Data Solutions Specialist play a vital role in advancing Dar Al Shifa Hospital’s digital transformation journey toward becoming a fully data-driven organization. This role focuses on transforming complex healthcare data into actionable insights and applying artificial intelligence, automation, and predictive analytics to enhance patient outcomes and operational efficiency.</p><p><br>The ideal candidate will have over four years of experience in data analytics, data warehousing, and healthcare information systems, with strong technical expertise and business intelligence. The specialist will manage the hospital’s analytics and AI platforms, develop insightful dashboards, ensure data integrity across systems such as Oracle Health EMR and SAP ERP, and lead initiatives that leverage AI and machine learning for informed decision-making and continuous improvement across clinical, financial, and administrative domains.</p><p><br><strong>Job Location Country:</strong> Kuwait</p><p><br><strong><u>Main Duties and Responsibilities</u>:</strong></p><p><strong>Data and Solution Integration</strong>:</p><ul><li><p>Manage healthcare data pipelines and ensure accurate integration between clinical (Oracle Health/Cerner), administrative (SAP ERP), and external data systems.</p></li><li><p>Ensure data quality, consistency, and compliance with healthcare data governance standards.</p></li></ul><p><br><strong>Analytics and Insights Development</strong>:</p><ul><li><p>Design, build, and maintain interactive dashboards and analytical models in Power BI and Microsoft Fabric for hospital leadership and department heads.</p></li><li><p>Develop automated analytics workflows for KPIs covering clinical performance, patient flow, and financial efficiency.</p></li></ul><p><br><strong>Artificial Intelligence and Predictive Modeling</strong></p><ul><li><p>Develop and deploy AI and machine learning models to support predictive insights such as readmission risks, patient satisfaction analysis, and operational forecasting.</p></li><li><p>Work with Microsoft Azure AI, Copilot Studio, and Fabric to integrate AI-driven automation and decision support tools.</p></li><li><p>Collaborate with technical teams to design and deploy end-to-end AI solutions that integrate seamlessly into clinical or administrative workflows.</p></li></ul><p><br><strong>Data Governance and Compliance</strong></p><ul><li><p>Implement data protection and governance practices in line with hospital IT policies, ensuring compliance with MOH, HIMSS accreditation standards.</p></li><li><p>Maintain metadata, audit trails, and security controls for all analytics environments.</p></li></ul><p><br><strong>Collaboration and Business Partnering</strong></p><ul><li><p>Collaborate with clinical, financial, and operational teams to define analytical needs and transform them into actionable insights.</p></li><li><p>Serve as the hospital’s focal point for AI-related initiatives and liaise with vendors, including Microsoft, Oracle Health, and SAP partners.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Education: </strong>A Bachelor's or Master's degree in data science, Artificial Intelligence, Computer Science, or related discipline is required.</p><p><strong>Experience</strong>:</p><ul><li><p>Minimum 4 years of hands-on experience in healthcare data analytics, AI, or Business Intelligence.</p></li><li><p><strong>Data Warehousing &amp; Analytics Platforms</strong>: Practical experience with modern platforms such as Microsoft Fabric, Azure Synapse, Oracle Autonomous Data Warehouse (ADW), or Snowflake.</p></li><li><p><strong>BI &amp; Visualization Tools</strong>: Strong proficiency in Power BI, Oracle Analytics or equivalent visualization platforms.</p></li><li><p><strong>Database &amp; Modeling</strong>: Expert-level SQL skills and experience in data modeling and managing large healthcare data environments.</p></li><li><p><strong>Cloud Platforms</strong>: Experience working with Azure, Oracle Cloud Infrastructure (OCI), or AWS for analytics and AI workloads.</p></li><li><p><strong>AI &amp; Machine Learning</strong>: Familiarity with Python, Azure Machine Learning, and Cognitive Services for developing predictive or automation models.</p></li><li><p><strong>Healthcare Systems</strong>: Understanding clinical and financial data, with experience in Oracle Health/Cerner EMR and SAP ERP.</p></li><li><p><strong>Interoperability Standards</strong>: Knowledge of HL7/FHIR, and healthcare data exchange protocols.</p></li></ul><p><br><strong>Language</strong>: Well versed in English and Arabic Language will be an added advantage.</p><p><strong>Computer Proficiency</strong>: Excellent Computer Skills, Proficient in MS Office and related software applications.</p><p><br><strong><u>Other Required Competencies:</u></strong></p><p><strong>Data Analytics &amp; Reporting, AI &amp; Automation Awareness, Statistical &amp; Analytical Tools, Healthcare Systems Knowledge, Project Coordination</strong>, <strong>Healthcare Standards</strong>, <strong>Communication &amp; Collaboration</strong></p><p><br><strong>How to Apply: </strong>Interested candidate are requested to visit <strong>career section </strong>of <strong>Dar Al Shifa Hospital </strong>and apply directly through career portal for faster communication with your latest updated CV (including a current photo, birthdate, education, and work history with proper dates), passport copy and other support documents. OR you can apply through Naukrigulf. </p><br><p>Only relevant experienced candidates will be contacted. Join us and help shape the future of healthcare. Apply today! </p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Specific Accountabilities</strong></p> <ul> <li>Delivery Management: Efficiently oversee the timely delivery of tailored business intelligence solutions according to customer specifications, coordinating team efforts to ensure prompt delivery and achieve customer satisfaction by meeting specified deadlines and requirements.</li> <li>System Development and Implementation: Lead the development and deployment of business intelligence systems, directing the agile development process and overseeing the seamless implementation of robust BI systems to ensure the successful deployment of efficient and scalable solutions.</li> <li>Data Governance Maintenance: Maintain data integrity and quality through effective data governance practices, establishing and enforcing data governance policies and standards to uphold data integrity and ensure the accuracy, consistency, and security of business intelligence data.</li> <li>Report Management: Ensure the availability of necessary data and information for generating intelligence and reports. Establish quality control over business object reports released by the Business Intelligence unit.</li> <li>BI Data Integrity: Maintain data integrity to establish the Business Intelligence unit as a reliable source of information.</li> <li>Customer-Focused Reporting: Deliver reports that meet user requirements and ensure follow-up with added value to enhance customer service.</li> <li>BI Systems Development and Maintenance: Develop, implement, and maintain business intelligence systems to meet stakeholders requirements. Ensure the efficiency and effectiveness of the control structure and processes within the BI unit, including security, user access, data retention rules, and confidentiality.</li> <li>Application Development and Maintenance: Develop in-house applications to fulfill specific business reporting needs. Handle maintenance and version upgrades of developed applications.</li> <li>Troubleshooting and Issue Resolution: Identify and troubleshoot reported issues in data models and reports. Provide both short- and long-term fixes to ensure continuous functionality.</li> <li>Collaboration with ETL Team: Collaborate with the Extract, Transform, Load (ETL) team in the development of new ETL programs to support business intelligence initiatives</li> </ul> <p><strong>Job Success Factors</strong></p> <p>Education</p> <p>MBA or Masters Degree or Equivalent Certification/Experience</p> <p>Bachelor's Degree or Equivalent Certification/Experience</p> <p>Experience</p> <p>Minimum 3 years professional experience</p> <p>Skills</p> <p>Experience in BI Reporting Tools and database management roles</p> <p>Experience of advising on business intelligence related issues.</p> <p>MS SQL, SAP BO BI, MS POWER BI tools skills</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education<br>MBA or Masters Degree or Equivalent Certification/Experience<br>Bachelor's Degree or Equivalent Certification/Experience</p> <p>Experience<br>Minimum 3 years professional experience</p> <p>Banking sector experience is preferable</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Required Skills &amp; Expertise:</strong></p><ul> <li>7+ years of extensive hands-on experience with SSIS (SQL Server Integration Services).</li> <li>Strong proficiency in SQL Server (T-SQL, Stored Procedures, Functions, Views, Performance Tuning, Query Optimization).</li> <li>Deep understanding of ETL best practices, data warehousing principles (Star &amp; Snowflake schema), and OLAP/OLTP systems. </li> <li>Expertise in handling large datasets, incremental loads, and real-time data processing using SSIS. </li> <li>Experience in debugging, error handling, event handling, and logging mechanisms in SSIS. </li> <li>Hands-on experience with script tasks, complex expressions, and data flow transformations in SSIS. </li> <li>Strong knowledge of SSIS deployment models, package configurations, and automation.</li> <li>Experience in SSIS performance tuning, including buffer management, parallel execution, and data flow optimization.</li> <li>Exposure to SSIS integration with cloud platforms (Azure Data Factory, AWS, or Google Cloud) is a plus.</li> </ul><br><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Client: NBK</strong></p><p><strong>Location: Kuwait(Male Candidates Preferred)</strong></p><p><strong>Work mode: On-site</strong></p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Advanced Excel knowledge, including Pivot Tables, XLOOKUP, SUMIFS, Power Query, and data cleaning.</p> <p>Strong understanding of MTD, YTD, LY comparison, target achievement, gaps, and outlook.</p> <p>Ability to maintain monthly targets, KPI s, channel/customer allocations, and DSR updates.</p> <p>High accuracy in reporting, with proper validation before sharing any numbers.</p> <p>Preferably Power BI knowledge for dashboards and management reporting, especially as we are moving to new system and Microsoft 365.</p> <p>FMCG experience is preferred, especially in sales, stock, expiry, and customer performance analysis.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Advanced Excel knowledge, including Pivot Tables, XLOOKUP, SUMIFS, Power Query, and data cleaning.</p> <p>Strong understanding of MTD, YTD, LY comparison, target achievement, gaps, and outlook.</p> <p>Ability to maintain monthly targets, KPI s, channel/customer allocations, and DSR updates.</p> <p>High accuracy in reporting, with proper validation before sharing any numbers.</p> <p>Preferably Power BI knowledge for dashboards and management reporting, especially as we are moving to new system and Microsoft 365.</p> <p>FMCG experience is preferred, especially in sales, stock, expiry, and customer performance analysis.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Overview Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism. Data Center Virtualization Engineers support the enterprise virtual infrastructure for all sites within the RCC-SWA Area of Responsibility and provide optimization, administration and technical documentation for the enterprise virtual infrastructure. DCSEs resolve enterprise-level change requests and act as the top-level of support escalation for all enterprise virtualization support issues. Principal technical areas include VMware, NetApp, Cisco UCS, Microsoft Servers and related virtualization, storage, networking, and monitoring technologies. This position offers company-paid housing and transportation, a completion bonus and tuition reimbursement program! You must satisfy all host country requirements to legally work in the host country to include but not limited to the ability to obtain and maintain a host nation visa and host nation driver’s license in order to be qualified for this position. Responsibilities + Enterprise-level support for VMware virtualization technologies including VMware ESXi, vCenter, vCOPS, vRealize, and SRM. Top-tier support for escalated issues and complex projects. Daily monitoring of all enterprise virtualization for integrity, reliability, resource utilization and availability. Periodic reports on virtual resource capacity and utilization as well as system uptime, performance, and troubleshooting/MTTR. Log review and issue reporting related to monitoring of temperature and overall virtualization health throughout the RCC-SWA Area of Responsibility (AOR). + Experienced with configuration and provisioning of VMs, ESXi hosts, and VCSAs. Proficient in the planning, installation, configuration, and upgrades of the virtual network infrastructure. The top-tier of support for virtualization projects and solutions related to backup, disaster recovery, virtual networking, HA, performance monitoring, firmware/software upgrades, and system audit tasks. + Documentation for Tactics, Techniques, and Procedures (TTPs) for configuring and managing the virtual environment including virtual networking, physical hosts, VMs, access control, resource monitoring and management, HA, fault tolerance and scalable virtualization infrastructure. + Performs other duties and assignments as required. Qualifications + Qualifications + Security Clearance: + Requires an active Secret Clearance + Education / Certifications: One-year related experience can be substituted for one year of education if the degree is required. + Bachelor’s Degree or equivalent experience preferably in Computer Science or MIS, IS, Engineering or related field. + This position requires candidates to adhere to DoD 8570.01M. All candidates are required to maintain at least one (1) baseline certification and one (1) computing environment (CE) certification. Baseline certifications cannot also be used as a Computing Environment (CE) certification. + The authorized certifications for this job title are listed as follows: + BASELINE: + Cisco: CCNP: Certified Network Professional - Security + CompTIA: CASP+ ce: Advanced Security Practitioner + CompTIA: SecurityX ce + GIAC: GCED: Certified Enterprise Defender + GIAC: GCIH: Certified Incident Handler + ISACA: CISA: Certified Information Systems Auditor + ISC2: CCSP: Certified Cloud Security Professional + ISC2: CISSP (or Associate): Certified Information Systems Security Professional + COMPUTING ENVIRONMENT (CE): + CNFDS: Cisco and NetApp Flexpod Design Specialist + CNFIAS: Cisco and NetApp Flexpod Implementation and Administration Specialist + NetApp: NCDA: Certified Data Administrator, ONTAP + NetApp: NCHCA: Certified Hybrid Cloud Administrator + NetApp: NCHCA: Certified Hybrid Cloud Architect + NetApp: NCIE-DPS: Certified Implementation Engineer - Data Protection Specialist + NetApp: NCIE-O-S: Certified Implementation Engineer, ONTAP Specialist + NetApp: NCIE-SAN: Certified Implementation Engineer - SAN Specialist, ONTAP + NetApp: NCIE-SS: Certified Implementation Engineer - SAN Specialist, E-Series + NetApp: NCSE: Certified Storage Engineer + NetApp: NCSIE: Certified Storage Installation Engineer, ONTAP + VMware: VCAP-DCV: Certified Advanced Professional - Data Center Virtualization (Deploy) + VMware: VCAP-DCV: Certified Advanced Professional - Data Center Virtualization (Design) + VMware: VCDE: Certified Design Expert + VMware: VCDX-DCV: Certified Design Expert - Data Center Virtualization + VMware: VCP: Certified Professional 6 - Data Center Virtualization + VMware: VCP: Certified Professional 7 + VMware: VCP5: Certified Professional 5 + Experience: One year of related academic study above the high school level may be substituted for one year of experience up to a maximum of a 4-year bachelor's degree in a Software Engineering or Business Information Systems discipline for three years general experience. + At least five years of practical experience working with various data (network and system) technologies. + Candidate must have a working knowledge of server, storage, and desktop virtualization technologies. + Experience with vSphere client, ESXCLI, and PowerCLI is a must. + Must have virtualization configuration and administration experience and understands VMware vSphere 6.0 and 6.5 technologies. + Experienced with Cisco UCS management, C- series, and B-series servers. Experienced with regular virtualization capacity planning and reporting. + Skills &amp; Technology Used: + Ability to troubleshoot servers and infrastructure equipment, assess networking requirements and provide solutions, and make accurate and independent decisions under pressure. + Excellent organizational, interpersonal, written, and verbal communication skills. + Ability to perform comfortably in a fast-paced, deadline-oriented work environment and to successfully execute many complex tasks simultaneously. + Working knowledge of server, storage, and desktop virtualization technologies. + Working knowledge with vSphere client, ESXCLI, and PowerCLI. + Ability to configure and administer VMware vSphere 7.0 +. + Ability to manage Cisco UCS, C-series, and B-series servers. + Understands virtualization capacity planning and reporting. At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.</p> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>About Calo<p>Launched in Bahrain in November 2019, Calo is on a mission to make healthy easy. We are a team of dedicated people driving this mission by providing better, faster, and more affordable ways to access food through technology.</p><br><br>Role Overview<p>We are looking for a Delivery Coordinator to support our delivery operations in Kuwait. The ideal candidate is organized, responsible, and able to handle daily coordination with drivers and the operations team. This role focuses on driver management, documentation, data entry, and day-to-day operational support. We are looking for someone with good communication skills, basic computer knowledge, and the ability to work in a fast-paced environment.</p><br><br>Main Responsibilities<ul><li><p>Coordinate and support daily operations of delivery drivers</p><br><br></li><li><p>Monitor drivers’ attendance, schedules, and daily assignments</p><br><br></li><li><p>Maintain proper records and documentation for drivers and deliveries</p><br><br></li><li><p>Handle basic data entry and update daily reports</p><br><br></li><li><p>Communicate with drivers to ensure smooth daily operations</p><br><br></li><li><p>Assist in organizing delivery-related documents and files</p><br><br></li><li><p>Ensure drivers follow company procedures and schedules</p><br><br></li><li><p>Support the team with operational tasks when needed</p><br><br></li><li><p>Maintain clear communication with management regarding daily operations</p><br><br></li></ul>Qualifications<ul><li><p>Minimum 1 year of experience in coordination, admin, or operations support role</p><br><br></li><li><p>Basic experience in data entry and documentation</p><br><br></li><li><p>Good knowledge of Microsoft Office (Word and Excel)</p><br><br></li><li><p>Good English communication skills</p><br><br></li><li><p>Valid driving license is a plus</p><br><br></li><li><p>Ability to manage and communicate with a large group of drivers</p><br><br></li><li><p>Organized, reliable, and detail-oriented</p><br><br></li><li><p>Currently based in Kuwait</p><br><br></li></ul>Knowledge &amp; Competency<ul><li><p>Strong communication and interpersonal skills</p><br><br></li><li><p>Good organizational skills</p><br><br></li><li><p>Ability to handle multiple tasks at the same time</p><br><br></li><li><p>Responsible and trustworthy</p><br><br></li><li><p>Able to work independently with minimal supervision</p><br><br></li><li><p>Positive and professional attitude</p><br><br></li><li><p>Patient and respectful when dealing with drivers</p><br><br></li></ul><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span><strong>Internship Overview</strong></span></p><br> <p><span>Support the Motor TPL Business team in daily administrative and operational activities while gaining practical exposure to insurance operations and workplace practices.</span></p><br> <p><span><strong>Key Responsibilities</strong></span></p><br> <ul> <li><span>Assist with administrative and documentation tasks.</span></li> <li><span>Support data entry and record maintenance.</span></li> <li><span>Help prepare reports and presentations.</span></li> <li><span>Conduct basic research and gather information.</span></li> <li><span>Participate in team meetings and assigned projects.</span></li> <li><span>Provide progress updates on assigned tasks.</span></li> </ul> <p><span><strong>Candidate Requirements</strong></span></p><br> <ul> <li><span>Fresh graduate or currently pursuing a degree in Business, Insurance, Finance, or a related field.</span></li> <li><span>Good communication and organizational skills.</span></li> <li><span>Basic knowledge of Microsoft Office (Excel, Word, PowerPoint).</span></li> <li><span>Willingness to learn and work in a team environment.</span></li> <li><span>Detail-oriented with a positive and professional attitude.</span></li> </ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3 – 5 years of experience, including prior experience working as a Merchandiser in an FMCG brand.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prior hands-on experience using a retail execution/merchandising application (e.g., Shelvz or similar) is required.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Valid Kuwait driving license, with willingness to travel daily across assigned retail outlets.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficient user of smartphone/tablet-based merchandising applications and basic Microsoft Office tools.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong attention to detail and accuracy in data entry and audit documentation.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Working knowledge of merchandising standards, planograms, and POSM.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Fluent in English: writing, reading, and speaking.</p><p>Ability to work independently in the field and manage a daily outlet visit schedule.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>&nbsp;&nbsp;Prior hands-on experience using a retail execution/merchandising application (e.g., Shelvz or similar) is required.</p></div>