Data Entry Jobs in Kuwait

<p>Data Entry Officer – Al Daman Vehicle Inspection (Kuwait)</p><p>&nbsp;</p><p>Al Daman Vehicle Inspection is looking for a Data Entry Officer to join our team in Kuwait.</p><p>&nbsp;</p><p><strong>Requirements</strong>:</p><p>&nbsp;</p><p>* Must be able to speak English &amp; 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>&nbsp;</p><p>Salary:</p><p>250 KD per month.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a reliable and detail-oriented Data Entry Clerk to join our team. The ideal candidate will be responsible for accurately entering, updating, and maintaining information in company databases and systems. This role requires strong attention to detail, organizational skills, and the ability to handle confidential information professionally. Key Responsibilities • Enter and update data into company databases and software systems • Review data for accuracy and completeness • Verify and correct errors in records and reports • Maintain organized digital and physical files • Prepare spreadsheets, reports, and documentation as needed • Respond to internal requests for information • Perform regular backups to ensure data preservation • Maintain confidentiality of sensitive company information • Assist with administrative tasks when required Qualifications • High school diploma or equivalent • Previous data entry or administrative experience preferred • Proficient in Microsoft Office (Excel, Word, Outlook) • Fast and accurate typing skills • Strong attention to detail and organizational abilities • Ability to work independently and meet deadlines • Good written and verbal communication skills</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Data entry clerk </p><p>Copy typing </p><p>Proofreading </p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a reliable and detail-oriented Data Entry Clerk to join our team. The ideal candidate will be responsible for accurately entering, updating, and maintaining information in company databases and systems. This role requires strong attention to detail, organizational skills, and the ability to handle confidential information professionally. Key Responsibilities • Enter and update data into company databases and software systems • Review data for accuracy and completeness • Verify and correct errors in records and reports • Maintain organized digital and physical files • Prepare spreadsheets, reports, and documentation as needed • Respond to internal requests for information • Perform regular backups to ensure data preservation • Maintain confidentiality of sensitive company information • Assist with administrative tasks when required Qualifications • High school diploma or equivalent • Previous data entry or administrative experience preferred • Proficient in Microsoft Office (Excel, Word, Outlook) • Fast and accurate typing skills • Strong attention to detail and organizational abilities • Ability to work independently and meet deadlines • Good written and verbal communication skills</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Data entry clerk </p><p>Copy typing </p><p>Proofreading </p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> 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> </ul> <br> <br>Qualifications<br> 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> </ul> <br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Urgent Hiring | IT Data &amp; AI Specialist | NeoSOFT</p><p>Mascot, Kuwait | Up to 1.80 Lakh/Month | 3+ Years | Data Analyst, Data Engineer, GenAI, AWS/Azure/GCP, Python &amp; SQL.</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <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>

<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 &amp; regulatory/legal frameworks</p><p>2. Policy &amp; 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>

<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 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>

<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>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>

<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>