Database Developer Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job BUSINESS DATA ANALYST - SERVICENOW - INVESTMENT (BANKING) <p>Role Summary</p><br> <p>The Business Data Analyst analyses, documents, and governs conceptual data models and Information Objects across enterprise systems, maintaining the enterprise semantic standard within ServiceNow EA.</p><br> <p>Key Responsibilities</p><br> <ul> <li>Analyse conceptual data models across enterprise systems.</li> <li>Document and manage Information Objects within ServiceNow EA.</li> <li>Maintain the Information Object glossary and conceptual data model.</li> <li>Ensure consistent use of Information Objects across governance, architecture, and solution design.</li> <li>Collaborate with architects, business analysts, and data governance teams to align enterprise semantic standards.</li> </ul> <p>Required Experience &amp; Skills</p><br> <ul> <li>Minimum 3 years' experience in business analysis, enterprise architecture support, or data management.</li> </ul> <p>Preferred / Advantageous</p><br> <ul> <li>Hands-on ServiceNow EA experience (strongly preferred).</li> <li>Investment management or financial services exposure.</li></ul> <p>Vertical:</p><br> <p>Technology</p><br> <br> <br> </div>

<p>Guildhall is currently supporting a leading engineering company in Doha, Qatar on major road infrastructure and pavement asset management projects. We are currently recruiting for an experienced Pavement Data Collection / Processing Engineer to join their growing team. This is a key role responsible for processing, validating, and quality checking pavement condition data while ensuring the highest standards of accuracy, compliance, and technical excellence across pavement survey projects. Key Responsibilities: - Process, validate, and analyze pavement condition data collected from automated survey systems, ensuring accuracy, consistency, and compliance with project specifications. - Perform QA/QC reviews of pavement data, identify discrepancies, implement corrective actions, and maintain high-quality documentation throughout project delivery. - Conduct pavement condition assessments, evaluate pavement distresses, and support pavement asset management in accordance with ASTM D6433, LTPP, and PCI standards. - Utilize LCMS-2, ROMDAS, Data View, PMS, and GIS platforms (ArcGIS/QGIS) to process, manage, and visualize pavement survey data. - Collaborate with project teams to prepare technical reports, provide project updates, and support the successful delivery of pavement engineering projects.</p><p>-Bachelor's Degree in Civil Engineering, Pavement Engineering, Transportation Engineering, or a related discipline -5–10 years of experience in pavement engineering, pavement condition assessment, or pavement asset management -Strong experience in QA/QC of processed pavement condition data and pavement distress rating -Hands-on experience with LCMS-2 is essential -Experience reviewing and validating pavement distress data, including cracking, rutting, ravelling, bleeding, texture, and roughness -Good understanding of ASTM D6433, LTPP, and pavement condition rating systems (PCI preferred) -Familiarity with ROMDAS, Data View, or similar pavement data processing software -Experience with Pavement Management Systems (PMS) is highly desirable -GCC or international pavement survey project experience is preferred -Experience with ARAN, Hawkeye, or other pavement data collection systems is an advantage -Knowledge of ArcGIS or QGIS is beneficial -Basic Python or R scripting skills for data validation or automation are a plus</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Minimum Qualifications:</strong></p><ul><li><p>B. Sc . in Electrical Engineering (Power specialization).</p></li><li><p>Certifications: IR Thermography Level‑1, Partial Discharge, Oil Analysis, Asset Management.</p></li></ul><p><strong>Minimum Experience &amp; Skills:</strong></p><ul><li><p>Minimum 5 years in MV diagnostics testing/analysis.</p></li><li><p>Knowledge of international standards.</p></li><li><p>Technical knowledge of substation equipment.</p></li><li><p>Expertise in condition monitoring techniques.</p></li><li><p>Ability to evaluate asset health independently.</p></li><li><p>Knowledge of risk analysis, criticality index, asset management systems.</p></li></ul><p><strong>Responsibilities:</strong></p><ul><li><p>Evaluate asset condition using field data, records, performance, aging.</p></li><li><p>Define asset condition indices.</p></li><li><p>Link condition to performance.</p></li><li><p>Estimate future condition &amp; remaining life.</p></li><li><p>Evaluate consequences of failures.</p></li><li><p>Quantify risks per asset class.</p></li><li><p>Prioritize &amp; rank assets.</p></li><li><p>Analyze site data (PD, IR, oil, visual).</p></li><li><p>Interpret oil analysis reports (IEC, IEEE, ASTM).</p></li><li><p>Prepare/review reports, defend conclusions, suggest remedial measures.</p></li><li><p>Scan/present large datasets for management.</p></li><li><p>Ensure data quality from site to reporting.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

<p>Guildhall is currently supporting a leading engineering company in Doha, Qatar on major road infrastructure and pavement asset management projects. We are currently recruiting for an experienced Pavement Data Collection / Processing Engineer to join their growing team. This is a key role responsible for processing, validating, and quality checking pavement condition data while ensuring the highest standards of accuracy, compliance, and technical excellence across pavement survey projects. Key Responsibilities: - Process, validate, and analyze pavement condition data collected from automated survey systems, ensuring accuracy, consistency, and compliance with project specifications. - Perform QA/QC reviews of pavement data, identify discrepancies, implement corrective actions, and maintain high-quality documentation throughout project delivery. - Conduct pavement condition assessments, evaluate pavement distresses, and support pavement asset management in accordance with ASTM D6433, LTPP, and PCI standards. - Utilize LCMS-2, ROMDAS, Data View, PMS, and GIS platforms (ArcGIS/QGIS) to process, manage, and visualize pavement survey data. - Collaborate with project teams to prepare technical reports, provide project updates, and support the successful delivery of pavement engineering projects.</p><p>-Bachelor's Degree in Civil Engineering, Pavement Engineering, Transportation Engineering, or a related discipline -5–10 years of experience in pavement engineering, pavement condition assessment, or pavement asset management -Strong experience in QA/QC of processed pavement condition data and pavement distress rating -Hands-on experience with LCMS-2 is essential -Experience reviewing and validating pavement distress data, including cracking, rutting, ravelling, bleeding, texture, and roughness -Good understanding of ASTM D6433, LTPP, and pavement condition rating systems (PCI preferred) -Familiarity with ROMDAS, Data View, or similar pavement data processing software -Experience with Pavement Management Systems (PMS) is highly desirable -GCC or international pavement survey project experience is preferred -Experience with ARAN, Hawkeye, or other pavement data collection systems is an advantage -Knowledge of ArcGIS or QGIS is beneficial -Basic Python or R scripting skills for data validation or automation are a plus</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><p><strong>Role Summary:</strong><br>Responsible for analyzing operational data to ensure accuracy, support reporting, and drive performance improvements.</p><br><br><br><p><strong>Key Responsibilities:</strong></p><br><br><ul><li>Analyze and validate large datasets for accuracy and completeness</li><li>Develop dashboards and performance reports</li><li>Identify trends, anomalies, and improvement opportunities</li><li>Coordinate with operations and IT teams for data consistency</li></ul><br><p><strong>Requirements:</strong></p><br><br><ul><li>Degree in Data Science, Engineering, or related field</li><li>Minimum 4+ years in data analysis</li><li>Strong skills in Power BI / Tableau / SQL / Python</li><li>Excellent analytical and reporting capabilities</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul><li>Analyze metering data from Advanced Metering Infrastructure (AMI) and related systems to identify consumption patterns, trends, anomalies, and operational insights.</li><li>Prepare analytical reports, dashboards, and performance summaries to support management decision-making and operational planning.</li><li>Monitor AMI network data health by performing regular data validation, cleansing, reconciliation, and quality assurance activities.</li><li>Coordinate with metering, IT, engineering, and operations teams to ensure data accuracy, consistency, and integrity across all integrated systems.</li><li>Investigate data anomalies, communication failures, and system performance issues, and recommend corrective and preventive actions.</li><li>Support performance monitoring, forecasting, and continuous improvement initiatives to enhance metering operations and data reliability.</li><li>Track and analyze operational activities, including work orders, meter commissioning, rectification works, preventive, predictive, corrective, and emergency maintenance, and work completion documentation using structured data analytics.</li><li>Maintain the confidentiality, integrity, and availability of metering data in accordance with corporate governance and information security standards.</li><li>Perform any other duties and responsibilities assigned by the immediate supervisor to support departmental and organizational objectives.</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Summary We are seeking an experienced Senior Data Protection &amp; Privacy Specialist to support the organization s data protection and privacy governance initiatives. The successful candidate will be responsible for managing day-to-day privacy operations, conducting privacy risk assessments, reviewing personal data management processes, and supporting investigations and complaint handling related to personal data protection. The role requires a strong understanding of data protection regulations, cybersecurity principles, privacy governance, and emerging technologies to ensure the organization s compliance with applicable legal and regulatory requirements. Key Responsibilities Perform day-to-day operational activities related to data protection, including receiving and handling complaints, investigations, and privacy-related inquiries. Review and assess Personal Data Management Systems to ensure compliance with applicable privacy requirements and best practices. Conduct Personal Data Privacy Risk Assessments and provide recommendations to mitigate identified risks. Evaluate requests involving the processing of sensitive or special-category personal data and submit recommendations to management for approval. Execute and support procedures related to privacy complaints, investigations, and incident handling. Assist in ensuring compliance with organizational policies and applicable data protection regulations. Prepare reports, documentation, and recommendations related to privacy assessments and investigations. Collaborate with internal stakeholders to promote privacy awareness and support continuous improvement of data protection practices.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><p>Qualifications</p><ul><li>Education Bachelor's or Master's degree in Computer Science, Information Technology, Information Security, Cybersecurity, or a related discipline.</li><li>Professional Certifications Candidates holding one or more of the following certifications will be preferred: Certified Information Privacy Manager (CIPM) Certified Information Privacy Professional (CIPP) Equivalent Data Protection or Privacy certifications</li><li>Experience Minimum 8 years of relevant professional experience in data protection, privacy, information security, cybersecurity, compliance, or related fields.</li><li>Required Skills &amp; Knowledge Strong knowledge of data protection and privacy principles. Understanding of cybersecurity concepts, cyber threats, and vulnerabilities. Knowledge of data protection laws, regulations, governance frameworks, policies, and procedures. Familiarity with Artificial Intelligence (AI), blockchain, and other emerging technologies and their impact on privacy. Technical understanding of computer networking concepts, network protocols, and network security methodologies. Experience conducting privacy risk assessments and supporting privacy compliance activities. Strong analytical, problem-solving, documentation, and report-writing skills. Excellent communication and stakeholder management skills. Ability to manage multiple priorities while maintaining a high level of accuracy and professionalism.</li><li>Language Requirements English: Required (written and spoken). Arabic: Preferred but not mandatory.</li><li>Additional Required Skills and Knowledge: Strong understanding of cybersecurity and privacy principles. Familiarity with cyber threats and vulnerabilities. Knowledge of laws, policies, procedures, and governance related to data protection and privacy. Awareness of emerging technologies, including artificial intelligence and blockchain. Technical expertise in computer networking concepts, protocols, and network security methodologies. Excellent communication skills.</li></ul><p></p></section>

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

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled 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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Provide technical and strategic advisory services to government entities to help them build their data asset registers and implement classification policies. Design guidelines and toolkits to enable government employees to classify data independently and efficiently. Measure the level of compliance of government entities with national data classification policies and submit periodic performance reports to decision-makers. Lead national initiatives to assess cybersecurity risks resulting from improper classification of sensitive data at the state level. Ensure alignment of different entities policies with national data protection and privacy legislation, and identify data sovereignty requirements. Evaluate global technical solutions in data classification and provide recommendations to government entities on the best tools suited to the national infrastructure. Organize national workshops and conferences to transfer knowledge and discuss challenges faced by institutions in implementing data classification projects. The contract duration is 12 months, with the possibility of extension based on departmental requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><p>Required Academic Degree Bachelor s degree in (Information Security, Computer Science, or Management Information Systems). Strongly preferred: Master s or PhD in (Data Governance or Public Cybersecurity Policy). Required Training Certificates (If required) CDMP (Certified Data Management Professional) Advanced level CGEIT (Certified in the Governance of Enterprise IT) Audit and compliance certifications such as CISA (Certified Information Systems Auditor) ISO/IEC 27001 Lead Auditor / Implementer Required Years of Experience Minimum 10 years of experience in data governance and security. Must include at least 4 years working on regulatory frameworks, national policies, or consulting for major government institutions. Required Language Proficiency Arabic: Optional English: Required Other: Arabic preferred but not mandatory Other Required Qualifications Regulatory background: Deep understanding of local data and privacy laws and national cybersecurity standards. Consulting skills: Strong ability to influence and negotiate with senior leadership across government entities. Strategic vision: Ability to link data classification to national priorities such as digital transformation, data economy, and digital sovereignty. Institutional excellence: Familiarity with government excellence standards and quality models (e.g., EFQM) to ensure world-class advisory services.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions. Key Responsibilities: Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions Requirements: Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p><p></p></section>

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

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements:</h2><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Location: Doha, Qatar Type: Permanent Salary: Not Specified</p> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>(a)Minimum Qualifications</strong></p><ol type="1"><li><p>Bachelors in electrical Engineering Specialization in Power, Masters is preferred.</p></li><li><p>Well versed with the MS Office applications, CBAM software architecture and other applications used for the project</p></li><li><p>Infrared thermography Level 2 training certification from recognized equipment OEMs or training providers having expertise in the applicable field.</p></li><li><p>Partial discharge training certification from recognized equipment OEMs or training providers having expertise in the applicable field</p></li><li><p>Training Certification from internationally recognized Oil analysis laboratory for Transformers oil analysis</p></li><li><p>Training/certification on Asset Management (Assets management) from internationally recognized firms having experience in the same field</p></li><li><p>Expert in diagnosis and evaluate asset condition based on the data available (Partial Discharge, Infrared Thermography, Oil Analysis, Visual etc)</p></li></ol><br><p><strong>(b)Minimum Experience and skills:</strong></p><ol type="1"><li><p>Minimum 10 years extensive past experience in MV equipment diagnostics testing, and diagnostics results analysis</p></li><li><p>Sound knowledge of International standards.</p></li><li><p>Sound technical knowledge of Distribution Substations equipment</p></li><li><p>Sound knowledge of Condition&nbsp;Monitoring techniques like Oil Analysis,</p></li><li><p>IR Thermography and Partial Discharge measurement</p></li><li><p>Should be able to independently evaluate the health of Distribution Substation equipment and provide recommendation.</p></li><li><p>Sound knowledge of risk analysis, criticality index and asset management system.</p></li><li><p>&nbsp;Should be experienced&nbsp;to handle the CBAM (Condition Based Asset Management) software</p></li><li><p>Proficiency in CBAM and to develop suitable CBAM methodology</p></li><li><p>PAS55 &amp; ISO 55000</p></li></ol><br><p><strong>(c)Responsibilities:</strong></p><ol type="1"><li><p>Receive and evaluate all technical inputs / reports from the</p></li><li><p>Responsible for evaluating the asset condition based on the field data, historical records, equipment design, specification and performance, operational issues, aging etc.</p></li><li><p>Must have sound competency in condition based risk management, maintenance and asset management philosophies of utility companies.</p></li><li><p>Define Asset Condition with various indices of all Medium Voltage &amp; Low Voltage Assets</p></li><li><p>Link Current Condition to Performance</p></li><li><p>Estimate future condition, performance and remaining life</p></li><li><p>Evaluate consequences of failures in various categories such as safety, network performance, environmental, financial etc.</p></li><li><p>Quantify risks for each asset class</p></li><li><p>Prioritization &amp; Ranking of Assets</p></li></ol><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ranking on failure probability and condition of the asset</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ranking on importance of asset &amp; impact</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ranking on risk (probability x impact)</p><ol start="10" type="1"><li><p>Suggest Remedial Measures</p></li><li><p>Analyze site data related to Partial discharge, Infrared Thermography, visual inspections, Transformers oil Analysis</p></li><li><p>Oil analysis report understanding and interpretation based on applicable IEC, IEEE and ASTM standards</p></li><li><p>Prepare and review reports, defend the conclusions made in the reports for the assigned assets health indices.</p></li><li><p>Review reports and analyze the abnormal cases and suggest remedial measures of short and long term</p></li><li><p>Able to scan/skim/mold large assets data in presentable form and present management as well as expert level views of data for easy decision making</p></li><li><p>Responsible for data quality from site to the final reporting</p></li><li><p>Attend monthly presentation and data review meetings with client</p></li><li><p>Success will be measured based on the assets saved from failures, minimum or no errors in assets condition data</p></li><li><p>Carry out Root Cause Analysis (RCA), forensic and failure investigation for equipment failures especially for the failures that happen after carrying out condition monitoring</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234525 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Corporate &amp; Commercial <br> <br> <ul><li><span>Closing Date:</span> <span>2026-08-03</span></li></ul><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234941 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Cargo &amp; Airport Operations <br> <br> <ul><li><span>Closing Date:</span> <span>2026-07-29</span></li></ul><br> <br> <br> <br> <br> <br> </div>