156 Data Managers jobs in the United Arab Emirates

Position: Data Quality Expert

Experience: 5+ years

Location: Abu Dhabi (Onsite)

Joining: Immediate

Job Description:

We are seeking a Data Quality Expert to join our onsite team in Abu Dhabi. The ideal candidate will have hands-on experience in enhancing and ensuring data quality, focusing on accuracy, consistency, and reliability across data systems.

Key Requirements / Must-Have Skills:

• 5+ years of experience in data quality management.
• Strong knowledge of data validation, cleansing, and profiling techniques.
• Experience with data governance tools and data quality frameworks.
• Proficiency in SQL and data manipulation for quality checks.
• Immediate availability for onsite engagement in Abu Dhabi.

Application:

Interested candidates may share their resumes

Location: Dubai

Duration: Yearly Renewable Contract

Need to have strong Data Quality experience

Responsibilities

• Perform problem identification, resolution, loss reporting and continuous improvement
• Design and implement methods for process control, process improvement, testing and inspection
• Develop, execute, and analyze quality reporting measures
• Participate in internal and external quality audits

About the Role:

Data Quality Expert responsible for designing, implementing, and optimizing data solutions to support business intelligence and analytics for school transport. This role focuses on data architecture, integration, quality, and advanced analytics, ensuring that the company leverages data as a strategic asset for decision-making and operational excellence

Key Responsibilities:

• Ensure Data Accuracy: Maintain and ensure the accuracy of student data in transport management systems, verifying that all information is current and correct.
• Data Updates: Regularly update student data and ensure that changes are reflected promptly across all relevant systems.
• Support Data Improvement Initiatives: Actively support data quality improvement initiatives, working closely with the transport and operational teams to ensure continuous data enhancement.
• Route Optimization Support: Assist with route optimization activities by providing accurate and timely data analysis to improve transportation efficiency and effectiveness.
• Perform regular data audits to identify and resolve discrepancies or errors in the student transport data.
• Develop predictive models (Python, R, TensorFlow) for business use cases.
• Automate insights using Power BI, Tableau, or custom dashboards.
• Collaborate with data scientists to operationalize AI/ML solutions.
• Design and implement scalable data pipelines (ETL/ELT) for structured and unstructured data.
• Develop and maintain data models (dimensional, relational, NoSQL) to support analytics.
• Optimize data storage solutions (data lakes, warehouses, real-time databases).
• Ensure interoperability between cloud (Azure, AWS) and on-prem systems.

What We're Looking For:

• 5+ years Experience with data management.
• Knowledge of data improvement methodologies and route optimization strategies.
• Industry experience in transportation, logistics, automotive, or large-scale enterprise transformation.
• Proficiency in Excel: Advanced knowledge of Excel, including the ability to work with formulas, pivot tables, and data analysis tools.

Role Description

This is a contract role for a Data Quality Engineer, based on-site in Abu Dhabi. The Data Quality Engineer will be responsible for ensuring the quality of data, implementing quality control procedures, conducting quality assurance tests, and managing product quality. The role involves working closely with different teams to maintain and enhance quality standards across all data-related processes.

Qualifications

• Strong analytical and problem-solving abilities
• Excellent communication and teamwork skills
• Proven experience in a data quality role
• Bachelor's degree in Engineering, Computer Science, or a related field

Data Quality Expert responsible for designing, implementing, and optimizing data solutions to support business intelligence and analytics for school transport. This role focuses on data architecture, integration, quality, and advanced analytics, ensuring that the company leverages data as a strategic asset for decision-making and operational excellence.

• Ensure Data Accuracy: Maintain and ensure the accuracy of student data in transport management systems, verifying that all information is current and correct.
• Data Updates: Regularly update student data and ensure that changes are reflected promptly across all relevant systems.
• Support Data Improvement Initiatives: Actively support data quality improvement initiatives, working closely with the transport and operational teams to ensure continuous data enhancement.
• Route Optimization Support: Assist with route optimization activities by providing accurate and timely data analysis to improve transportation efficiency and effectiveness.
• Perform regular data audits to identify and resolve discrepancies or errors in the student transport data.
• Develop predictive models (Python, R, TensorFlow) for business use cases.
• Automate insights using Power BI, Tableau, or custom dashboards.
• Collaborate with data scientists to operationalize AI/ML solutions.
• Design and implement scalable data pipelines (ETL/ELT) for structured and unstructured data.
• Develop and maintain data models (dimensional, relational, NoSQL) to support analytics.
• Optimize data storage solutions (data lakes, warehouses, real-time databases).
• Ensure interoperability between cloud (Azure, AWS) and on-prem systems.

• 5+ years experience with data management.
• Knowledge of data improvement methodologies and route optimization strategies.
• Industry experience in transportation, logistics, automotive, or large-scale enterprise transformation.
• Proficiency in Excel: Advanced knowledge of Excel, including formulas, pivot tables, and data analysis tools.

• Associate

• Full-time

• Information Technology and Analyst

• IT System Data Services and Transportation, Logistics, Supply Chain and Storage

Job Title:
ETL / Data Quality Engineer – Abu Dhabi (On-Site, 6 Months)

We are hiring an experienced
ETL / Data Quality Engineer
to be outsourced to one of our esteemed clients, a leading multi national consulting firm, to be working with them on a project with governmental agency in Abu Dhabi. This is a
contractual assignment
offering a great opportunity to work on a high-impact project in a dynamic environment.

key Responsibilities:-

• Design, develop, and execute ETL scripts and jobs to ingest data from multiple sources into a target database.
• Implement data quality rules within ETL workflows to ensure data accuracy, consistency, and reliability.
• Participate in the data assessment phase to identify, document, and resolve data quality issues.
• Collaborate with business and technical stakeholders to understand requirements and deliver high-quality solutions.
• Troubleshoot and optimize ETL workflows for scalability and performance.

Required Skills & Experience:-

• Proven hands-on experience in ETL development (Informatica, Talend, SSIS, or similar).
• Strong expertise in SQL, stored procedures, and database design (Oracle, SQL Server, PostgreSQL, etc.).
• Solid understanding of data quality frameworks, validation techniques, and data governance principles.
• Ability to manage large and complex datasets from diverse sources.
• Strong analytical and problem-solving skills.
• Previous experience with government or large-scale enterprise projects is an advantage.

Engagement Details:-

• Duration:
  6 months (extendable)
• Engagement Type:
  Outsourced, Time & Material (Rate Card)
• Location:
  On-Site – Abu Dhabi, UAE

If you are passionate about working with data and ensuring its quality, we would like to hear from you.

Role: Informatica Data Quality Specialist (IDQ)

Experience - 4+ years of experience as IDQ

Location - Abu Dhabi, onsite

Job Description

• Expert in Data Analysis using Informatica Data Quality Tool
• Expert in creating Profiles, Mappings and Scorecards using IDQ and create Data Quality issue documents.
• Proficient in writing SQL queries
• Implement data governance policies and procedures using Informatica EDC and Axon.
• Work with business stakeholders and IT teams to ensure that data is properly managed, secured, and governed.
• Define and manage data lineage and impact analysis using EDC and Axon.
• Develop and maintain data quality rules and monitor compliance using IDQ, EDC and Axon.
• Manage metadata and data dictionaries using EDC.
• Collaborate with other data governance specialists to develop and maintain data governance frameworks and best practices.
• Provide training and support to business stakeholders and IT teams on IDQ,EDC and Axon.

Qualification

• Bachelor's degree in computer science, Information Systems, or related field.
• Minimum of 4+ years of experience in data Quality and governance with Informatica DQ, EDC and Axon.
• Strong understanding of data governance principles, processes, and best practices.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a team environment.

Job Purpose:

To develop departmental plans and work mechanisms and contribute to achieving the administration's goals through supervision and follow-up of all related operational activities in the associated operational plan.

Qualifications and Experience:

Minimum Qualifications:

• PhD in Information Technology (0 years experience required)
• Master's in Information Technology (3 years experience required)
• Bachelor's in Information Technology (6 years experience required)

Professional Certifications (examples):

• Oracle 12c Administration
• Hyperledger Fabric v1.4: Architecture, Design and Deployment
• Windows PowerShell 10961 Automation for Administration
• Cybersecurity Fundamentals
• Microsoft 365 Fundamentals
• Microsoft Azure Fundamentals
• Oracle 12c R2 RAC Administration
• Microsoft Azure Database Administration
• Artificial Intelligence for Business Professionals
• Java EE 7 Ed 1 Platform Application Development
• SQL 2016 Data Warehouse Implementation
• ISO/IEC 27002 Courses & Lead Manager Certification
• Oracle Cloud Database
• Certified AI Practitioner
• Microsoft Office 365 Administration
• Cybersecurity Operations Certification
• IT Risk & Control Certification
• Certified Network Associate
• Cybersecurity Fundamentals Professional Certification
• Certified Ethical Hacking & Forensics Professional
• Certified IT Privacy Professional
• ISO/IEC 27001 Lead Auditor Certification
• Certified Information Privacy Manager
• Microsoft Azure IoT Developer
• Introduction to Cybersecurity
• Introduction to Python
• Introduction to Oracle Database Programming Language
• Certified IoT Practitioner
• Oracle Database Administration Workshop

Key Responsibilities:

• Carry out regular audits and assessments of data quality to identify areas for improvement.
• Manage data management tools and technologies to support quality and compliance.
• Prepare proposals for the department's strategic plan, contribute to its development, and monitor implementation of operational plans to ensure alignment with goals.
• Ensure quality standards and controls for storing, transferring, and using data are applied, and submit periodic reports to the Director of Data Management.
• Monitor performance indicators regularly and prepare achievement reports for submission to the Director.
• Participate in preparing the department's budget in coordination with relevant units.
• Develop and deliver training on data management and quality best practices.
• Develop and implement data governance policies and standards to ensure accuracy, consistency, and security of data.
• Strengthen relationships with internal and external partners to ensure services are delivered according to best standards.
• Provide necessary support to the Director of Data Management and perform any other tasks assigned.
• Execute data quality management processes including data cleansing, refinement, and validation.
• Review levels of data quality and accuracy according to classifications and global quality standards, and provide recommendations with improvement solutions when necessary.
• Develop programs that enhance continuous learning, training, and motivation for teams to ensure high-quality service delivery.
• Establish guiding principles and frameworks for managing operations and improving productivity.
• Any other responsibilities related to the department's nature of work or assigned by the Director of Data Management.

Client: Management Consulting Company

Ideal Candidate: The Ideal is a highly skilled and motivated Strategic Data Consultant with a passion for running impactful data/AI initiatives. This role involves the development/refresh of data strategies for various clients primarily within the Client portfolio. The Client is incubating a new innovative data organization which will be in a unique position to harness the power of data and AI to drive innovation and create significant value across various sectors within the portfolio.

1. Evaluate your client's current data strategy and specific use cases it supports.
2. Collaborate with clients to understand their specific data-related challenges, objectives, and requirements.
3. Develop data & AI roadmap implementation plan with a focus on data sharing and AI.
4. Examine the current data operating model (e.g., functions, skills, processes, department interactions).
5. Design the future data & AI operating model including detailed descriptions of functions, processes, governance structures, and tooling enablers.
6. Analyse the current data architecture including cloud infrastructure and the existing data platform.
7. Conduct interviews with business stakeholders to understand their use-case requirements and needs with a special focus on AI and data sharing.
8. Identify and launch specific initiatives for data quality improvement.
9. Collaborate closely with business stakeholders, IT teams, and other relevant departments to ensure alignment between data initiatives and business objectives.

Bachelor's or master's degree in data science, computer science, information systems or related fields. MBA or equivalent advanced degree preferred. Minimum 5 years in data consulting or related roles with at least 3 years in senior/managerial positions. Proven track record managing large-scale complex data initiatives with measurable outcomes. Deep understanding of business impact through the use of big data technologies, AI and machine learning (including most recent LLMs). Excellent analytical and problem-solving abilities. Strong communication, presentation, and negotiation skills. Relationship-building with executive stakeholders. Results-oriented strategic thinking. Strong Consulting toolkit.

Full-time, Abu Dhabi on ground.

Immediate need; the Candidate needs to give availability within 15-20 days after Engagement Confirmation Letter.

Either hiring process or freelance contracting are available.

Able to attract more qualified candidates.