Database Developer Jobs
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Architecture & Development: Architect, develop, and maintain robust, scalable, and secure front-end applications using Angular (latest versions). Data Visualization: Build high-performance dashboards capable of handling real-time, high-frequency data streams, time-series data, and complex industrial charting. Technical Leadership: Mentoring junior/mid-level developers, establishing front-end coding standards, conducting rigorous code reviews, and driving UI/UX best practices. Collaboration: Work closely with product managers, data scientists, backend engineers, and industrial domain experts to translate complex operational requirements into clean interfaces. Performance Optimization: Optimize application performance for maximum speed, scalability, and seamless rendering of massive datasets. Modernization: Drive the migration of legacy front-end systems into modern, modular Angular architectures (e.g., Micro-frontends, Monorepos).</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum of 10+ years of professional software development experience, with a strict focus on front-end technologies.</li><li>Angular Expertise: 6+ years of deep, hands-on experience with Angular (including RxJS, NgRx/state management, Angular CLI, and standalone components).</li><li>Core Web Tech: Mastery of JavaScript (ES6+), TypeScript, HTML5, and advanced CSS/SASS.</li><li>Testing & CI/CD: Strong experience with front-end testing frameworks (Jest, Cypress, Karma) and integrating front-end builds into CI/CD pipelines.</li><li>Data & APIs: Proficient in consuming complex RESTful APIs and WebSocket connections for real-time data streaming.</li><li>Good communication with English</li><li>Good problem-solving skills</li><li>Good documentation skills</li><li>Flexible to travel to Kuwait</li><li>Experience working as oil and gas domain is preferred</li><li>Landmark Business Domain is preferred</li></ul><p></p></section>
<p>Reports To Head of Information Security Job Purpose Oversees the development and implementation of privacy policies, conducts audits and assessments to identify and mitigate risks, educate and train employees on data protection, serves as a point of contact for individuals regarding their personal data and play a crucial role in incident response, particularly in the event of data breaches.</p><p>Generic Accountabilities</p><p>2. Corporate Governance and Compliance Work fully within risk policies and procedures and compliance regulations and ensure all divisional activities comply with corporate governance & regulatory/legal frameworks</p><p>2. Policy & Processes Define ABK and divisional policies, processes and structures.</p><p>3. Risk management Identify, manage, mitigate and report on risk and potential risk in divisional activities</p><p>Compliance: Work fully within ABK s Compliance regulations and standards.</p><p>5. People Management Manage people in line with people policies and best practices.</p><p>Specific Accountabilities</p><p>Policy Development: Develop, implement, and update privacy policies and procedures to ensure the organization's activities align with data privacy and security principles and legal requirements.</p><p>Audits and Assessments: Conduct regular data protection audits and privacy impact assessments to identify and address potential risks associated with the processing of personal data.</p><p>Education and Training: Provide education and training to employees on data protection policies, procedures, and best practices to foster a culture of awareness and adherence to data privacy best practice within the organization.</p><p>Point of Contact for Data Subjects: Serve as the primary contact point for individuals (data subjects) regarding their personal data, responding to inquiries and facilitating the exercise of data subject rights as outlined in relevant data protection laws.</p><p>Monitoring and Reporting: Monitor the organization's data protection adherence, report regularly to senior management on key metrics and areas of concern, and act as a liaison with data protection authorities when necessary.</p><p>Incident Response: Lead the organization's response to data breaches or other data protection incidents, coordinating efforts to investigate, contain, and remedy the situation while ensuring timely and accurate notifications to affected parties and regulatory authorities.</p><p>Legal Adherence: Ensure the organization's adherence to data protection laws and regulations, including staying informed about changes in legislation and advising the organization on necessary adjustments to maintain adherence to regulatory requirements regarding data privacy and security.</p><p>Independence and Impartiality: Operate independently within the organization, free from conflicts of interest, to ensure impartiality in carrying out data protection duties and responsibilities.</p><p>Data Governance: Contribute to the establishment and maintenance of effective data governance practices, ensuring that data protection considerations are integrated into various processes and activities.</p><p>Continuous Improvement: Stay abreast of industry best practices, technological developments, and changes in data protection regulations to recommend and implement continuous improvement measures in the organization's data protection program</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree or Equivalent Certification/Experience in Information Sciences and Technology or Computer Science</li><li>7 years of experience in data privacy, data governance, risk management or related roles.</li><li>Strong knowledge of data privacy frameworks, standards, and best practices (e.g., GDPR, ISO 27701 etc.).</li><li>Expertise in data protection laws and practices, including deep understanding of GDPR and local regulations.</li><li>Professional certifications such as Certified Information Privacy Manager (CIPM), Certified Information Privacy Professional (CIPP-E), ISO 27701 Lead Implementer, Certified in Risk and Information Systems Control (CRISC) is preferred.</li><li>Ability to work effectively under pressure and to manage sensitive and confidential information.</li><li>Excellent verbal and written communication skills, with strong attention to detail.</li><li>Excellent analytical and problem-solving skills.</li><li>Leadership and Strong project management skills.</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Required Technical Skills</p><ul><li>Strong knowledge of WordPress, WooCommerce, and Shopify.</li><li>Experience in Shopify theme development and customization.</li><li>Knowledge of Shopify Liquid, sections, blocks, Meta fields, and custom templates.</li><li>Strong skills in HTML5, CSS3, JavaScript, jQuery, and responsive design.</li><li>Experience with WordPress theme customization and plugin configuration.</li><li>Understanding of WooCommerce checkout, product types, coupons, shipping, and payment settings.</li><li>Basic knowledge of PHP for WordPress customization.</li><li>Experience with APIs and third-party integrations.</li><li>Knowledge of SEO best practices and website speed optimization.</li><li>Familiarity with Git or other version control tools.</li><li>Ability to debug front-end and back-end website issues.</li></ul><p>Preferred Skills</p><ul><li>Experience with Shopify Plus is an advantage.</li><li>Experience with custom Shopify apps or private app integrations.</li><li>Knowledge of page builders such as Elementor, WP Bakery, Gutenberg, or Shopify page builders.</li><li>Experience with Odoo, ERP, inventory, or order management integrations.</li><li>Knowledge of CRO, A/B testing, and user behavior tools.</li><li>Experience with tools like Google Page Speed Insights, Lighthouse, GT metrics, Search Console, and Hotjar.</li><li>Basic understanding of UI/UX design principles.</li><li>Experience in retail, electronics, auto parts, jewelry, or marketplace e-commerce is preferred.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications</p><ul><li>Bachelor s degree in Computer Science, IT, Web Development, Software Engineering, or a related field.</li><li>5+ years of hands-on experience in WordPress/WooCommerce and Shopify development.</li><li>Strong portfolio of e-commerce websites is preferred.</li></ul><p></p></section>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous Computer Science problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (NumPy, Pandas, SciPy); Improve AI reasoning to align with industry-standard logic; Apply structured scoring criteria to multi-step problems; Collaborate with a global community of PhDs to ensure the highest scientific integrity.<br> What we look for This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Computer Science or related fields.<br> Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.<br> 2+ years of professional experience: applied, research, or teaching experience is applicable.<br> Strong written English (C1+) .<br> Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $40 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>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous Computer Science problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (NumPy, Pandas, SciPy); Improve AI reasoning to align with industry-standard logic; Apply structured scoring criteria to multi-step problems; Collaborate with a global community of PhDs to ensure the highest scientific integrity.<br> What we look for This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Computer Science or related fields.<br> Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.<br> 2+ years of professional experience: applied, research, or teaching experience is applicable.<br> Strong written English (C1+) .<br> Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $40 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>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous Computer Science problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (NumPy, Pandas, SciPy); Improve AI reasoning to align with industry-standard logic; Apply structured scoring criteria to multi-step problems; Collaborate with a global community of PhDs to ensure the highest scientific integrity.<br> What we look for This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Computer Science or related fields.<br> Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.<br> 2+ years of professional experience: applied, research, or teaching experience is applicable.<br> Strong written English (C1+) .<br> Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $40 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>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous Computer Science problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (NumPy, Pandas, SciPy); Improve AI reasoning to align with industry-standard logic; Apply structured scoring criteria to multi-step problems; Collaborate with a global community of PhDs to ensure the highest scientific integrity.<br> What we look for This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Computer Science or related fields.<br> Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.<br> 2+ years of professional experience: applied, research, or teaching experience is applicable.<br> Strong written English (C1+) .<br> Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid 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 $40 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 & Responsibilities</p><div class="paragraph"><ul><li><p>Previous experience in data entry, administration, or similar roles is an advantage.</p></li><li><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The position details will be shared via Telegram. Interested parties are requested to contact us on Telegram using the username provided below:Mathew_Gerrad</p><p></p></section>
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<p>Growth & Operations Lead at Wellness Start-up</p><p><br></p><p>About Qawam</p><p><br></p><p>Qawam is a growing center focused on movement, nervous system care, and long-term client transformation.</p><p>We are looking for someone who can help us improve and scale the next stage of the business — someone who enjoys building systems, solving problems, improving client experience, strengthening marketing efforts, and helping a growing company operate at a higher level.</p><p>This is not a traditional corporate management role.</p><p>We are looking for someone who is proactive, detail-oriented, execution-focused, and hungry to grow alongside the company.</p><p><br></p><p>The Role</p><p><br></p><p>As a Growth & Operations Lead, you will oversee and improve both the growth and operational side of Qawam.</p><p>Your role will include improving marketing execution, client experience, operational systems, reporting, team accountability, and helping the company grow in a more organized and efficient way.</p><p>You will help identify gaps, improve systems, organize workflows, follow up on execution, and ensure projects and initiatives move forward properly.</p><p><br></p><p>Responsibilities</p><p><br></p><p>Marketing & Growth</p><ul><li>Help create and execute marketing plans and campaigns</li><li>Follow up on content production and marketing execution</li><li>Coordinate with videographers, designers, and external freelancers</li><li>Help improve lead tracking, conversion, and client retention</li><li>Work on increasing bookings and helping fill practitioner schedules</li><li>Improve referral systems and word-of-mouth growth</li><li>Support the planning and execution of upcoming online courses and cohorts</li><li>Identify opportunities to improve Qawam’s visibility and client demand</li></ul><p><br></p><p>Client Experience</p><ul><li>Improve the overall client journey and experience</li><li>Review client feedback and survey responses after sessions and programs</li><li>Identify patterns, issues, and opportunities for improvement</li><li>Help improve communication quality and follow-up systems</li><li>Work on service improvements and operational consistency</li></ul><p><br></p><p>Operations & Systems</p><ul><li>Improve operational workflows and internal systems</li><li>Help build and improve SOPs (Standard Operating Procedures)</li><li>Track KPIs and operational performance</li><li>Prepare reports and follow up on execution</li><li>Improve communication, accountability, and coordination within the team</li><li>Identify operational gaps and help solve them proactively</li><li>Support overall operational efficiency across the center</li></ul><p><br></p><p><br></p><p>Salary</p><p>2000 – 2500 USD</p><p><br></p><p>Location</p><p>Kuwait City</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>We are looking for someone who:</p><ul><li>Is organized and highly proactive</li><li>Enjoys solving problems and improving systems</li><li>Has strong communication and leadership skills</li><li>Pays attention to detail</li><li>Can balance strategic thinking with hands-on execution</li><li>Is comfortable working in a fast-moving environment</li><li>Takes ownership instead of waiting for instructions</li><li>Is hungry to learn, grow, and improve</li><li>Can follow through and ensure things actually get done</li></ul><p><br></p><p>Experience in operations, marketing, client experience, project management, business development, or growing businesses is preferred.</p><p><br></p><p>Preferred applicants include candidates with a background in marketing, sales, or MBA graduates.</p></div>
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<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>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Urgent Hiring | IT Data & AI Specialist | NeoSOFT</p><p>Mascot, Kuwait | Up to 1.80 Lakh/Month | 3+ Years | Data Analyst, Data Engineer, GenAI, AWS/Azure/GCP, Python & SQL.</p></div></section>
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Company Description<br>
Jobs for Humanity is partnering with hassan+667 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
<br> Company Name: hassan+667<br>
<br>Job Description<br>
<p>We are seeking a highly skilled Data Engineer to join our growing team in Kuwait. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that empower data-driven decision-making across the entire organization. You will work with cutting-edge technologies and collaborate closely with data scientists, analysts, and business stakeholders to unlock the full potential of our data assets.</p><br> Job Purpose <p>The purpose of this role is to architect, develop, and manage robust data pipelines and infrastructure that ensure high availability, quality, and performance of data systems. The Data Engineer will enable seamless data flow, optimize storage and processing costs, reduce latency, and empower business teams with self-service analytics capabilities to drive informed decision-making across the organization in Kuwait.</p><br> Job Duties and Responsibilities <ul>
<li>Build reliable ETL/ELT data pipelines</li><li>Ensure 99.9% data availability and quality</li><li>Optimize data warehouse performance and cost</li><li>Reduce data processing latency by 30%</li><li>Enable self-service analytics for business teams</li><li>Design and implement scalable data architectures</li><li>Monitor and maintain data pipeline health and reliability</li><li>Collaborate with cross-functional teams to understand data requirements</li>
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Required Qualifications <ul>
<li>SQL</li><li>Python</li><li>Apache Spark</li><li>Apache Kafka</li><li>Airflow</li><li>AWS/GCP/Azure</li><li>Snowflake/BigQuery/Redshift</li><li>Docker/Kubernetes</li><li>Git</li><li>Data modeling</li>
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Data Engineer to join our growing team in Kuwait. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that empower data-driven decision-making across the entire organization. You will work with cutting-edge technologies and collaborate closely with data scientists, analysts, and business stakeholders to unlock the full potential of our data assets.</p><p>The purpose of this role is to architect, develop, and manage robust data pipelines and infrastructure that ensure high availability, quality, and performance of data systems. The Data Engineer will enable seamless data flow, optimize storage and processing costs, reduce latency, and empower business teams with self-service analytics capabilities to drive informed decision-making across the organization in Kuwait.</p><p>Build reliable ETL/ELT data pipelines</p><p>Ensure 99.9% data availability and quality</p><p>Optimize data warehouse performance and cost</p><p>Reduce data processing latency by 30%</p><p>Enable self-service analytics for business teams</p><p>Design and implement scalable data architectures</p><p>Monitor and maintain data pipeline health and reliability</p><p>Collaborate with cross-functional teams to understand data requirements</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>SQL</li><li>Python</li><li>Apache Spark</li><li>Apache Kafka</li><li>Airflow</li><li>AWS/GCP/Azure</li><li>Snowflake/BigQuery/Redshift</li><li>Docker/Kubernetes</li><li>Git</li><li>Data modeling</li></ul><p></p></section>
<p>Data Entry Officer – Al Daman Vehicle Inspection (Kuwait)</p><p> </p><p>Al Daman Vehicle Inspection is looking for a Data Entry Officer to join our team in Kuwait.</p><p> </p><p><strong>Requirements</strong>:</p><p> </p><p>* Must be able to speak English & Arabic fluently.</p><p>* Must be able to read and write Arabic accurately.</p><p>* Good computer and data entry skills.</p><p>* Attention to detail and accuracy.</p><p>* Ability to work in a fast- paced environment.</p><p> </p><p>Salary:</p><p>250 KD per month.</p>
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<span>We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.<br> Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions.<br> From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.<br> What You'll Do ❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities ❏ Translate business requirements into scalable data science and machine learning solutions ❏ Validate data availability and define analytical approaches for new use cases ❏ Build predictive models, machine learning solutions, and GenAI applications ❏ Design robust data pipelines and analytical workflows ❏ Apply data processing, feature engineering, and statistical modelling techniques ❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices ❏ Present analytical findings and recommendations to technical and executive stakeholders ❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way ❏ Mentor junior team members and support technical delivery across multiple initiatives You're Our Match If You Have ❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field ❏ 5+ years of hands-on experience delivering data science or machine learning solutions ❏ Strong Python programming skills and experience with modern data science libraries ❏ Experience building predictive models, machine learning solutions, and GenAI applications ❏ Strong understanding of statistics, data modelling, and feature engineering ❏ Experience designing scalable data pipelines and production-ready AI solutions ❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management ❏ Excellent stakeholder management and communication skills ❏ Ability to translate complex technical concepts into business value Bonus Points If You Have Experience With ❏ Telecommunications or other customer-centric industries ❏ Large-scale customer analytics and segmentation ❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) ❏ Cloud platforms such as Azure, AWS, or Google Cloud ❏ Databricks, Spark, or distributed data processing ❏ Docker, Kubernetes, or CI/CD pipelines ❏ Leading or mentoring technical teams</span> </div>
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<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>
<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>
<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>
<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>