وظائف مدخل بيانات - ابو ظبي الإمارات

<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></li></ul><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><p><strong>Desired Candidate Profile</strong></p><p>The position details will be shared via Telegram. Interested parties are requested to contact us on Telegram using the username provided below:@Duran_Thomas2</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Previous experience in data entry, administration, or similar roles is an advantage.</p><p></p></section>

<h2>Job Description</h2><h2>Key Responsibilities</h2><ul><li>Accurately enter, update, and maintain customer and account information.</li><li>Verify data against source documents and resolve discrepancies to ensure accuracy.</li><li>Review customer records and documentation for completeness and compliance.</li><li>Retrieve and process information as required to support customer service operations.</li><li>Adhere to company policies, procedures, and confidentiality standards.</li><li>Maintain high levels of accuracy, productivity, and service quality.</li><li>Achieve performance targets, including processing a minimum of 250 transactions within established service standards.</li></ul><h2>Skills</h2><h3>Qualifications:</h3><ul><li>With experience in Tadbeer</li><li>Must be Local</li><li>Strong attention to detail and accuracy.</li><li>Proficiency in computer applications and data entry systems.</li><li>Ability to handle confidential information with discretion.</li><li>Strong organizational and administrative skills.</li><li>Good written communication skills.</li><li>Customer-focused mindset with the ability to adapt to different customer personalities and needs.</li><li>Excellent communication and interpersonal skills.</li><li>Strong multitasking, prioritization, and time-management abilities.</li></ul><h2>Preferred Candidate</h2><p><strong>Career Level:</strong> Fresh Graduate</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Develop and implement comprehensive data governance policies and standards that align with business objectives and regulatory requirements.</li><li>Establish and manage a data stewardship program, empowering individuals to take ownership of critical data assets and ensure their quality and integrity.</li><li>Design and oversee data quality frameworks, including data profiling, cleansing, and monitoring processes, to proactively identify and remediate data anomalies.</li><li>Define and enforce data lineage and metadata management strategies, providing a clear understanding of data origins, transformations, and usage across the organization.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p><em>Bachelor’s or Master’s degree in data management, IT, Engineering, or a related field</em></p></li><li><p><em>10+ years of experience in data governance, data management, and or enterprise data strategy</em></p></li><li><p><em>Proven experience in implementing large-scale data governance programs</em></p></li><li><p><em>Proven experience in designing, implementing and operationalizing enterprise data governance frameworks and operating models</em></p></li><li><p><em>Hands-on experience in dataset inventory, data catalog implementation, data classification, and data quality rule definition</em></p></li><li><p><em>Experience working with data governance and catalog tools (e.g., Unity Catalog, Microsoft Purview or similar)</em></p></li><li><p><em>Has experience ensuring governance is applied and enforced within systems and processes</em></p></li><li><p><em>Can balance business, governance, and technical requirements</em></p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Transform raw data into actionable insights by utilizing statistical methods and data visualization techniques to support business decision-making.</li><li>Collaborate with cross-functional teams to understand data requirements and provide timely and accurate reports that meet business needs.</li><li>Conduct thorough data cleansing and validation processes to ensure data integrity and reliability before analysis.</li><li>Leverage advanced analytical tools and software, such as SQL and Python, to conduct exploratory data analysis and identify trends.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, with a strong foundation in quantitative analysis.</li><li>Minimum of 2-3 years of experience in a data analyst role, demonstrating a solid track record of successful data projects.</li><li>Relevant certifications such as Certified Analytics Professional (CAP) or Microsoft Certified: Data Analyst Associate to validate expertise.</li><li>Experience in industries such as finance, healthcare, or e-commerce where data-driven decision-making is crucial.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Data Analysis &amp; Insight Generation</p></li></ol><p>Analyze large datasets to identify trends and generate actionable insights for decision making and operational efficiency.</p><p>Communicate findings through visualizations and clear storytelling.</p><ol><li><p>Machine Learning &amp; Model Development</p></li></ol><p>Develop and deploy machine learning models for use cases such as forecasting, optimization, and risk analysis.</p><p>Apply statistical and machine learning techniques to solve complex business problems.</p><ol><li><p>Data Preparation &amp; Feature Engineering</p></li></ol><p>Prepare data through extraction, cleaning, preprocessing, and feature engineering.</p><p>Ensure data quality and integrity for reliable model performance.</p><ol><li><p>Model Deployment &amp; Monitoring</p></li></ol><p>Deploy models into production and monitor performance for drift or degradation.</p><p>Continuously improve models based on feedback and new data.</p><ol><li><p>Collaboration &amp; Stakeholder Engagement</p></li></ol><p>Work with business teams to translate requirements into analytical solutions.</p><p>Collaborate with Data Engineering and Data Governance teams for end to end delivery.</p><ol><li><p>AI Governance</p></li></ol><p>Ensure all AI and machine learning activities comply with governance, privacy, and regulatory requirements by following defined lifecycle processes, risk classification, and using approved governed data.</p><p>Implement responsible and secure AI practices, including bias and fairness checks, explainability, model documentation, auditability, and collaboration with Cybersecurity and Data Governance teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Qualifications</p><ul><li><p>Bachelor's or Master's Degree in Data Science, Artificial Intelligence (AI), Statistics, Computer Science, or a related field.</p></li></ul><p>Minimum Experience</p><ul><li><p>Minimum <strong>5+ years</strong> of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.</p></li><li><p>Proven experience developing, deploying, and maintaining machine learning models in production environments.</p></li><li><p>Experience working with large-scale datasets and cloud-based analytics platforms is preferred.</p></li></ul><p>Skills &amp; Competencies</p><ul><li><p>Strong programming skills in <strong>Python</strong> (preferred) or <strong>R</strong>.</p></li><li><p>Experience with large-scale data processing using <strong>SQL</strong>, <strong>Spark</strong>, or similar technologies.</p></li><li><p>Hands-on experience with machine learning frameworks such as <strong>TensorFlow</strong>, <strong>PyTorch</strong>, and <strong>Scikit-learn</strong>.</p></li><li><p>Experience in end-to-end machine learning model development, validation, deployment, and optimization.</p></li><li><p>Knowledge of <strong>MLOps</strong> practices, including CI/CD pipelines, model monitoring, version control, and automated retraining.</p></li><li><p>Understanding of data engineering concepts, data pipelines, and cloud data platforms, preferably <strong>Microsoft Azure</strong> and <strong>Databricks</strong>.</p></li><li><p>Strong knowledge of statistical analysis, predictive modeling, feature engineering, and data preprocessing techniques.</p></li><li><p>Experience using data visualization tools such as <strong>Power BI</strong> and <strong>Tableau</strong> to communicate analytical insights.</p></li><li><p>Understanding of data governance, data quality management, privacy regulations, and AI governance principles.</p></li><li><p>Strong analytical thinking, problem-solving, and critical reasoning skills.</p></li><li><p>Excellent communication, presentation, and stakeholder management skills.</p></li><li><p>Ability to work collaboratively with cross-functional teams in an agile environment.</p></li><li><p>Strong organizational skills with the ability to manage multiple priorities and deliver high-quality outcomes within deadlines.</p></li></ul></li></ul><p></p></section>

<p>We are seeking a highly analytical Data Analyst / Industrial Engineer to join our construction team. The ideal candidate will be responsible for analyzing business and operational data, developing and improving workflows, optimizing business processes, and creating dashboards and reports to support management decision-making. Experience in the EPC or construction industry is highly preferred. Key Responsibilities • Analyze operational, project, HR, procurement, and cost data to identify trends and opportunities for improvement. • Design, develop, and optimize workflows and business processes across departments. • Create process maps, SOPs, and workflow diagrams. • Develop interactive dashboards and KPI reports using Power BI, Excel, or similar BI tools. • Automate reporting and improve data accuracy through process improvements. • Monitor project productivity, resource utilization, and operational performance. • Work closely with HR, Finance, Procurement, Planning, and Project teams to improve efficiency. • Conduct time and motion studies and recommend productivity improvements. • Prepare management reports and presentations with actionable insights. • Support digital transformation initiatives and business process automation.</p><p>Qualifications • Bachelor's Degree in Industrial Engineering, Data Analytics, Business Analytics, or a related discipline. • 3–7 years of experience in construction, EPC, or infrastructure projects. • Strong knowledge of process improvement methodologies. • Advanced Microsoft Excel skills. • Proficiency in Power BI, SQL, and Power Query. • Knowledge of ERP systems such as SAP, Oracle, or Microsoft Dynamics is an advantage. • Experience with workflow automation tools (Power Automate, Visio, or similar) is preferred. • Excellent analytical, problem-solving, and communication skills. Preferred Skills • Industrial Engineering background with strong analytical capabilities. • Experience in workflow development and business process optimization. • Ability to transform complex data into meaningful business insights. • Knowledge of Lean, Six Sigma, or continuous improvement methodologies is an added advantage.</p>

<p>We are seeking a highly analytical Data Analyst / Industrial Engineer to join our construction team. The ideal candidate will be responsible for analyzing business and operational data, developing and improving workflows, optimizing business processes, and creating dashboards and reports to support management decision-making. Experience in the EPC or construction industry is highly preferred. Key Responsibilities • Analyze operational, project, HR, procurement, and cost data to identify trends and opportunities for improvement. • Design, develop, and optimize workflows and business processes across departments. • Create process maps, SOPs, and workflow diagrams. • Develop interactive dashboards and KPI reports using Power BI, Excel, or similar BI tools. • Automate reporting and improve data accuracy through process improvements. • Monitor project productivity, resource utilization, and operational performance. • Work closely with HR, Finance, Procurement, Planning, and Project teams to improve efficiency. • Conduct time and motion studies and recommend productivity improvements. • Prepare management reports and presentations with actionable insights. • Support digital transformation initiatives and business process automation.</p><p>Qualifications • Bachelor's Degree in Industrial Engineering, Data Analytics, Business Analytics, or a related discipline. • 3–7 years of experience in construction, EPC, or infrastructure projects. • Strong knowledge of process improvement methodologies. • Advanced Microsoft Excel skills. • Proficiency in Power BI, SQL, and Power Query. • Knowledge of ERP systems such as SAP, Oracle, or Microsoft Dynamics is an advantage. • Experience with workflow automation tools (Power Automate, Visio, or similar) is preferred. • Excellent analytical, problem-solving, and communication skills. Preferred Skills • Industrial Engineering background with strong analytical capabilities. • Experience in workflow development and business process optimization. • Ability to transform complex data into meaningful business insights. • Knowledge of Lean, Six Sigma, or continuous improvement methodologies is an added advantage.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Design and develop conceptual, logical, and physical data models</p></li><li><p>Collaborate with cross-functional teams to gather and understand data requirements</p></li><li><p>Optimize data models for performance and scalability</p></li><li><p>Ensure data integrity and quality throughout the data modelling process</p></li><li><p>Provide guidance and support on data modelling best practices</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience working with data modelling tools such as Erwin, ER Studio, or equivalent</p></li><li><p>Strong understanding of data modelling concepts and methodologies</p></li><li><p>Excellent problem-solving and analytical skills</p></li><li><p>Ability to work effectively in a fast-paced environment</p></li><li><p>Good communication and interpersonal skills</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Data &amp; Insights Analyst will play a key role in transforming how our organization understands, uses, and communicates data, acting as a strategic bridge between our organizations’ creative, research, and operational sides - turning scattered information into meaningful narratives and evidence-backed insights.</p><p>This role will focus on identifying and consolidating data across our projects, research, and archives - developing dashboards, visualizations, and insights that bring clarity and narrative power to our work.</p><p>Over time, this role will also explore how AI tools can enhance efficiency, creativity, and impact - from data analysis and reporting to supporting our storytelling and conceptual projects.</p><p>This is an ideal role for someone who is analytical, creative, and curious - a thinker who sees patterns in information and can turn them into meaningful stories and insights.</p><br><p><strong>KEY RESPONSIBILITIES</strong></p><ul><li><p>Develop a comprehensive understanding of the organization’s data landscape and identify key data sources across departments.</p></li><li><p>Design and implement frameworks for data collection, governance, and analytics that align with organizational objectives.</p></li><li><p>Create and present visual data stories, dashboards, and insights to inform leadership decisions and highlight impact.</p></li><li><p>Partner with teams across projects, research, and communications to translate complex data into accessible narratives.</p></li><li><p>Collaborate with the Senior Manager, Technology, to explore and pilot AI tools that support productivity, analysis, and innovation.</p></li><li><p>Support strategic planning by providing evidence-based insights, reports, and recommendations.</p></li><li><p>Build organizational capability in data literacy through knowledge sharing and internal training sessions.</p></li></ul><p>Collect, clean, and organize data from multiple internal and external sources (project databases, archives, reports, media libraries, etc.).</p><ul><li><p>Maintain structured data repositories and ensure consistent data standards across teams</p></li></ul><p>Design and maintain dashboards and visual reports using tools such as Power BI, Tableau, or Google Data Studio.</p><ul><li><p>Track project metrics, performance indicators, and outputs to support monitoring and evaluation.</p></li><li><p>Support the preparation of periodic reports, infographics, and presentations for internal and external stakeholders.</p></li><li><p>Conduct routine data quality checks and troubleshoot discrepancies.</p></li><li><p>Assist with data-driven automation and process improvement initiatives.</p></li><li><p>Research emerging technologies and recommend relevant AI or analytical tools for adoption.</p></li><li><p>Ensure all data handling aligns with privacy, ethics, and organizational governance standards</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor’s degree in Data Science, Information Systems, Statistics, Computer Science, or a related field.</p></li><li><p>Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly.</p></li><li><p>Proficiency with data visualization and analytics tools (e.g., Power BI, Tableau, Excel, Google Data Studio).</p></li><li><p>Understanding of data management, reporting, and visualization best practices.</p></li><li><p>Excellent communication and presentation skills, with an eye for design and storytelling.</p></li></ul><p><strong>Minimum Experience</strong></p><ul><li><p>5+ years of experience in a data analysis, research analytics, or business intelligence role.</p></li><li><p>Experience consolidating and analyzing data from diverse sources.</p></li><li><p>Exposure to (or strong interest in) AI, machine learning, or automation tools is an advantage.</p></li><li><p>Experience working in a mission-driven, creative, or research-based environment preferred</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We're hiring an <strong>AI Data Ops Engineer</strong> for a leading Abu Dhabi-based holding group investing heavily in its data and AI capability. You'll engineer the pipelines that feed everyday AI assistants and enterprise AI products — and you'll be the technical authority reviewing and signing off vendor-delivered data architectures before they reach production. Reports to the AI Solutions Manager.</p><p><strong>What you'll own:</strong></p><ul><li><p>Engineer batch and stream pipelines using Fabric Data Pipelines / Azure Data Factory, Synapse, or Databricks.</p></li><li><p>Implement data quality rules, schema validation, de-duplication, SCD, and reconciliation checks.</p></li><li><p>Operationalize lineage, cataloging, and classifications with Microsoft Purview; enforce RBAC and access patterns.</p></li><li><p>Automate CI/CD via Azure DevOps or GitHub with environment promotion, infrastructure-as-code (Bicep/Terraform), and secrets management via Key Vault.</p></li><li><p>Build feature stores and model-serving data contracts in partnership with MLOps and AI engineering teams.</p></li><li><p>Own reliability: alerts, runbooks, on-call rotation, and cost and performance optimization.</p></li><li><p>Review and finalize vendor-delivered data pipelines and data architecture for AI projects; ensure compliance with client standards for security, performance, and reliability; approve production readiness.</p></li><li><p>Collaborate with delivery partner squads on interface specifications, test data, and delivery checkpoints; support SIT/UAT and production cutover.</p></li><li><p>Define and enforce Data Contracts and SLAs per priority dataset (schema, refresh frequency, quality thresholds, reconciliation checks, and consumer expectations).</p></li><li><p>Own data incident management: classification, RCA, corrective actions, and prevention of recurring nonconformities.</p></li><li><p>Formalize the handshake with AI/ML/DevOps engineers on feature and embedding pipelines, monitoring hooks, and release gates for data-dependent AI deployments.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>6–8 years in data engineering with strong SQL and PySpark and cloud-native data services.</p></li><li><p>Hands-on experience across the Azure data stack: Fabric/Synapse, Data Factory, ADLS Gen2, Delta Lake/Parquet.</p></li><li><p>Bachelor's in Computer Science, Engineering, or equivalent.</p></li></ul><p><strong>Core skills and tools required:</strong></p><ul><li><p>Python and PySpark, SQL, Lakehouse patterns, medallion architecture.</p></li><li><p>Microsoft Purview: catalog, lineage, classifications; data privacy controls and masking.</p></li><li><p>CI/CD with Azure DevOps or GitHub; IaC with Bicep or Terraform; Docker basics.</p></li><li><p>Observability: Kusto/KQL, Azure Monitor, Log Analytics; performance tuning and FinOps.</p></li><li><p>Production incident response and RCA discipline.</p></li></ul><p><strong>Required certifications:</strong></p><ul><li><p>Microsoft Certified: Azure Data Engineer Associate (DP-203)</p></li></ul><p><strong>Preferred certifications:</strong></p><ul><li><p>Microsoft Certified: Azure Fundamentals (AZ-900)</p></li><li><p>Databricks Data Engineer Associate or Professional</p></li></ul><br><p><strong>Location: </strong>Abu Dhabi, UAE</p><p><strong>Employment Type: </strong>Permanent, Full-time</p><p><strong>Experience: </strong>6-8 years</p><p><strong>Salary Range: </strong>15,000 - 23,000 (AED per month)</p><p><strong>Work Location:</strong> In person</p><p><strong><u>Apply: via Faze 3 Consulting website (link on profile)</u></strong></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Real-time security event ingestion pipelines from SIEM/SOAR platforms, threat intelligence correlation engines for SOC operations, data lake architecture for cyber forensics and audit trails. Build real-time security event pipelines (integrating with SIEM/SOAR tools); develop threat intelligence correlation engines for SOC; design and maintain a cyber data lake architecture for forensics and audit trails, enabling advanced security analytics. Designs and maintains data platforms that collect, process, and store large volumes of security and operational data in near real time. The engineer builds reliable data pipelines, supports analytics and reporting needs for security teams, and ensures data is well-structured for investigations and audits. Suitable candidates should have strong experience with cloud-based data platforms, data engineering, and working with high-volume, business critical data.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional Experience: 8-10 years</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Utilize Python Notebooks, SSIS, Fabric Builds / Power BI, and other data engineering tools to cleanse and transform data.</p></li><li><p>Develop and implement data quality processes to monitor and improve the integrity of our data.</p></li><li><p>Collaborate with cross-functional teams to define data quality standards and best practices.</p></li><li><p>Optimize data cleansing pipelines for efficiency and scalability.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience in data engineering, specifically in data cleansing and quality assurance.</p></li><li><p>Proficiency in Python Notebooks, SSIS, Fabric Builds / Power BI, and equivalent data engineering tools.</p></li><li><p>Strong understanding of data quality principles and best practices.</p></li><li><p>Excellent problem-solving skills and attention to detail.</p></li><li><p>Ability to work both independently and collaboratively in a fast-paced environment.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Utilize Python Notebooks, SSIS, Fabric Builds, Power BI, and other data engineering tools for data cleansing and quality tasks.</p></li><li><p>Implement data cleaning processes to ensure accuracy and completeness of datasets.</p></li><li><p>Collaborate with cross-functional teams to identify data quality issues and recommend solutions.</p></li><li><p>Develop and maintain data quality metrics and reports to track progress.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.</p></li><li><p>Proven experience with Python Notebooks, SSIS, Fabric Builds, Power BI, and equivalent data engineering tools.</p></li><li><p>Strong understanding of data quality principles and best practices.</p></li><li><p>Excellent analytical and problem-solving skills.</p></li><li><p>Ability to work independently and collaboratively in a team environment.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Implement data classification solutions using Microsoft Purview and other relevant tools</p></li><li><p>Develop and maintain data classification policies and procedures</p></li><li><p>Provide guidance and recommendations on data security best practices</p></li><li><p>Collaborate with cross-functional teams to ensure data compliance and governance</p></li><li><p>Conduct data risk assessments and identify areas for improvement</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience working with data classification tools, particularly Microsoft Purview</p></li><li><p>In-depth knowledge of data privacy regulations and compliance requirements</p></li><li><p>Strong analytical and problem-solving skills</p></li><li><p>Excellent communication and stakeholder management skills</p></li><li><p>Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Information Privacy Professional (CIPP) are a plus</p></li></ul><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 highly skilled <strong>Data &amp; Analytics Specialist</strong> to support our business owners in making data-driven decisions by designing and delivering robust analytical solutions. This role will be responsible for creating insightful dashboards and reports, translating business needs into technical solutions, and driving efficiency through data-driven insights. You will collaborate closely with stakeholders across functions to shape and execute BI initiatives using industry-leading tools like Power BI and Microsoft technologies.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Outlining the architecture as well as building visual analytics solutions via dashboards and reports.</p></li><li><p>Work closely with stakeholders to gather and analyse business needs and translate them into technical specifications.</p></li><li><p>Develop reports, scorecards, data exploration and visual analytics using existing and emerging tools and technologies.</p></li><li><p>Provide insights, perform analysis and manage the design, build and delivery of robust dashboards and reports to the business.</p></li><li><p>Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.</p></li><li><p>Work with Digital Core Team and business units to determine Bi project missions, goals, tasks, timelines and resource requirement.</p></li><li><p>Ensure the reports that are developed are tested and all defects and issues are tracked and managed to resolution.</p></li><li><p>Conceptualize complex Institutional problems, discovering business insights through visualization techniques, turning data into information, and information into insight and insight into business decisions.</p></li><li><p>Execute advanced data modelling capability to meet the reporting requirements by acquiring data from primary or secondary data sources and maintaining databases.</p></li><li><p>Collate the metrics, calculations and data for reports and dashboards and work with teams to standardize the reporting requirements.</p></li><li><p>Work closely with the business teams and interpret their BI needs in technical terms, and define the same to ensure adherence to all BI standards and best practices, document the business requirements, anticipated benefits, success criteria for analytics initiatives.</p></li><li><p>Develop, deploy and maintain PowerBI cubes, Data base queries.</p></li><li><p>Optimize data models and queries for performance and efficiency.</p></li><li><p>Research, review and analyse existing data and reporting outputs and systems and develop strategies for enhancing or leveraging these processes and systems.</p></li><li><p>Stay updated on industry trends and best practices in business intelligence and data visualization.</p></li><li><p>Identify, analyse, and interpret trends or patterns in complex data sets.</p></li><li><p>Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.</p></li><li><p>Work with management to prioritize business and information needs.</p></li><li><p>Locate and define new process improvement opportunities.</p></li><li><p>Other duties as needed based on business priorities/conditions.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Engineering, Applications, or a related field.</p></li><li><p>Certification in Business Analysis is a plus.</p></li><li><p>Microsoft Azure certifications (e.g., DP-100, PL-300) or equivalent certifications from other cloud platforms are highly desirable.</p></li></ul><p><strong>Experience Requirements</strong></p><ul><li><p>4–6 years of experience in Analytics and Business Intelligence, primarily within the Microsoft BI ecosystem.</p></li><li><p>Proven track record in designing business-critical dashboards using Power BI with sources like SQL Server and Lakehouse.</p></li><li><p>At least 3 years of hands-on experience with Dynamics 365.</p></li><li><p>Experience in data warehousing, data lake architecture, and end-to-end BI lifecycle.</p></li><li><p>Proficient in Power BI (both cloud and on-premise versions), including DAX and performance tuning.</p></li><li><p>Solid background in dimensional data modeling (star and snowflake schema).</p></li><li><p>Experience working with SSAS, SSRS, and maintaining OLAP/Tabular cubes.</p></li><li><p>Experience integrating various data sources such as Excel, CSV, Azure SQL, Azure Data Warehouse, and Oracle.</p></li><li><p>Familiarity with Azure services like Databricks, DevOps, Data Lake, and Storage is a strong advantage.</p></li></ul><p><strong>Technical Skills &amp; Knowledge</strong></p><ul><li><p>Strong expertise in SQL Server, SSAS, SSIS, and SSRS.</p></li><li><p>Experience with database design, performance tuning, and writing complex SQL queries.</p></li><li><p>Knowledge of Microsoft Dynamics 365 architecture.</p></li><li><p>Advanced skills in Power BI report/dashboard design and deployment.</p></li><li><p>Experience in scripting languages such as Python or R is preferred.</p></li><li><p>Knowledge of RPA tools and predictive analytics is a plus.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>We are seeking a seasoned Governance, Risk, and Compliance Data Privacy Officer to lead and strengthen our data privacy program in the United Arab Emirates. This role will drive privacy governance frameworks, risk management, and regulatory compliance to ensure the protection of personal data across our operations.</p><br><strong>Responsibilities:</strong><br><ul><li>Develop, implement, and maintain data privacy policies, procedures, and standards in line with GDPR, UAE Data Protection Law, and other global regulations</li><li>Design and manage governance frameworks to ensure consistent application of privacy controls across the organization</li><li>Conduct privacy impact assessments (PIAs), data protection impact assessments (DPIAs), and vendor risk assessments</li><li>Identify, assess, monitor, and report data privacy risks, incidents, and remediation actions to senior management</li><li>Collaborate with cross-functional teams to integrate privacy requirements into business processes and technology projects</li><li>Lead data breach response activities, including investigation, notification, and remediation</li><li>Develop and deliver training and awareness programs on data privacy, risk management, and regulatory compliance</li><li>Prepare regular reports and dashboards on privacy metrics, compliance posture, and risk trends</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>Bachelor’s degree in Law, Information Security, or a related field</li><li>5–10 years of professional experience in data privacy, governance, risk management, or compliance roles</li><li>Technical expertise in data privacy compliance tools, methodologies, and GDPR requirements</li><li>Proven experience in designing and implementing governance frameworks and risk management processes</li><li>Strong knowledge of global regulatory compliance requirements, including GDPR and UAE Data Protection Law</li><li>Excellent communication, stakeholder management, and presentation skills</li><li>Ability to lead privacy impact assessments and manage cross-functional privacy initiatives</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certifications such as CIPP/E, CIPM, CISM, or CRISC</li><li>Experience with ISO 27701, ISO 27001, or other information security standards</li><li>Advanced degree (Master’s) in Law, Information Security, or related field</li><li>Prior experience working in multinational organizations or regulated industries</li><li>Familiarity with local UAE regulatory environment and Data Office requirements</li></ul><br></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading Abu Dhabi-based holding group is hiring an <strong>AI Data UX Engineer</strong> to design and build the user experience layer for AI assistants, BI surfaces, and data apps across desktop, mobile, and Teams. If you can both design <em>and</em> ship production frontends — and you care about making complex data genuinely usable — we want to hear from you. Reports to the AI Solutions Manager.</p><br><p><strong>What you'll own:</strong></p><ul><li><p>Translate business workflows into wireframes, prototypes, and tested UI patterns in Figma and Fluent UI.</p></li><li><p>Implement production-grade frontends using React, TypeScript, Power Apps, and Power Pages, integrated with AI and REST APIs.</p></li><li><p>Design Power BI experiences — reports, semantic models, and themes — optimized for decisions and performance.</p></li><li><p>Instrument telemetry, A/B tests, and in-app guidance; iterate based on usage analytics.</p></li><li><p>Ensure accessibility (WCAG 2.1 AA), localization, and secure-by-design patterns (MSAL, role-based UI).</p></li><li><p>Collaborate with the delivery partner's squads and internal engineers to align UX with platform constraints and non-functionals — making data availability a first-class design and delivery outcome.</p></li><li><p>Enable in-app data querying, guided data correction flows, and user feedback loops to improve data discoverability and quality.</p></li><li><p>Partner with Data Ops and platform teams for backend implementation of data write-back patterns; ensure UX patterns respect RBAC, logging, and governance controls.</p></li><li><p>Integrate robust CRUD operations and database interactions so users can efficiently access, manage, and update information.</p></li><li><p>Design governed user experiences for data interaction — search, view, update requests, approvals — aligned to access controls, auditability, and workflow patterns, without owning core database engineering.</p></li><li><p>Design explainability and trust UX: citations, confidence cues, audit trails, and "why this answer" patterns for assistants and analytics surfaces to improve adoption and responsible use.</p></li><li><p>Work closely with the delivery partner's visualization and UX engineers on a shared "definition of done" for dashboards, assistant UX surfaces, and adoption telemetry.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>4–6 years in product or UX engineering for data/AI products.</p></li><li><p>A portfolio demonstrating shipped enterprise experiences across web, mobile, Teams, or Power Platform.</p></li><li><p>Bachelor's in Design, Computer Science, Information Systems, or equivalent portfolio-based experience.</p></li></ul><br><p><strong>Core skills and tools</strong></p><ul><li><p>Figma, Fluent UI, React/TypeScript, HTML/CSS.</p></li><li><p>Power Apps and Power Pages; MSAL and Microsoft Graph integration.</p></li><li><p>Power BI: DAX, modeling, performance tuning, governance with Fabric/Purview.</p></li><li><p>UX research, usability testing, accessibility, localization, and content design.</p></li><li><p>Telemetry (App Insights), feature flags, and experimentation.</p></li></ul><br><p><strong>Preferred certifications</strong></p><ul><li><p>Microsoft Certified: Power Platform App Maker (PL-100) or Developer (PL-400).</p></li><li><p>Microsoft Certified: Power BI Data Analyst Associate (PL-300).</p></li><li><p>Any recognized UX/HCI certification.</p></li></ul><br><p>Location: Abu Dhabi, UAE</p><p>Employment Type: Full-time</p><p>Experience: 4-6 years</p><p>Salary Range: 12,000 - 18,000 (AED per month)</p><p>Work Location: In person</p><p>Apply via Faze 3 Consulting Website (see profile for link)</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Job description:</strong></p><ul><li><p>Must have hands-on experience in a Typing Center in UAE</p></li><li><p>Must have experience with handling Visa process and all the legal requirements related to the employment in UAE</p></li><li><p>Must speak <strong>English,Arabic and Hindi</strong></p></li><li><p>Communicate with customers in English and Arabic to understand their service needs.</p></li><li><p>Excellent typing and reading skills in English and Arabic</p></li></ul><p>Location : Al Zahiya, Abu Dhabi</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Must have experience with handling Visa process and all the legal requirements related to the employment in UAE</p></li><li><p>Must speak <strong>English,Arabic and Hindi</strong></p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Take photos and videos of workshop activities using a smartphone.</p></li><li><p>Create simple Instagram Reels, TikTok videos, and Facebook posts.</p></li><li><p>Edit videos using CapCut or similar mobile apps.</p></li><li><p>Post content on the company's social media accounts.</p></li><li><p>Respond to basic social media inquiries and comments.</p></li><li><p>Assist with capturing customer vehicle deliveries and project updates.</p></li><li><br></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Basic knowledge of Instagram, TikTok, Facebook, and YouTube.</p></li><li><p>Basic video editing skills using CapCut or similar applications.</p></li><li><p>Good English communication skills.</p></li><li><p>Passion for social media and content creation.</p></li><li><p>Automotive knowledge is an advantage but not mandatory.</p></li><li><p>Candidate must be based in the UAE and ready to join immediately.</p></li></ul><p></p></section>