Data Engineer

IQ Data; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A prominent company in Abu Dhabi seeks a highly skilled Data Engineer to enhance their data integration, ETL pipelines, and data quality management. This role involves leveraging technologies such as Microsoft Fabric and Power BI to create effective data solutions. The ideal candidate will possess a strong background in enterprise data projects and will contribute to high-visibility initiatives, ensuring reliable data for decision-making.

Benefits

Performance-based incentives

Career growth opportunities

Qualifications

• 5+ years of experience as a Data Engineer.
• Experience with Microsoft Fabric and Power BI integration.
• Familiarity with Delta Lake architecture preferred.

Responsibilities

• Design and build ETL pipelines integrating data from multiple enterprise systems.
• Collaborate with BI Developers and AI/ML Specialists.
• Conduct data profiling and cleansing to maintain high data quality.

Skills

Data integration

Data quality management

ETL pipelines

Data modelling

Power BI

Data governance

Problem-solving

Communication

Agile

Education

Bachelor's degree in computer science

Data Engineering or related field

Job description

We are seeking a highly skilled and motivated Data Engineer to join our lean and dynamic team working on the various major projects. The ideal candidate will have a strong background in data integration, ETL pipelines, and data quality management, playing a key role in building a robust data foundation that powers real-time executive dashboards and AI-driven insights. This is an exciting opportunity to work on a high-visibility project leveraging Microsoft Fabric, Power BI, and other modern data technologies in a mission-critical, enterprise-level environment.

Key Skills Required :

• Data integration from multiple enterprise systems (APIs, direct connections, file-based)
• Data quality checks and cleansing
• Data modelling and transformation best practices
• Familiarity with Power BI data sources and performance optimization
• Strong understanding of data governance and security standards
• Excellent problem-solving and communication skills
• Ability to work collaboratively in an Agile environment

Minimum Experience :

5+ years of hands-on experience as a Data Engineer in enterprise data integration projects.

Proven experience integrating complex datasets from multiple sources and building scalable ETL pipelines.

Roles and Responsibilities :

• Design and build ETL pipelines to integrate data from multiple enterprise systems (e.g., Oracle Fusion, Salesforce, HRMS etc.) and external APIs into a unified data platform.
• Develop and manage data transformation logic to ensure consistency, accuracy, and usability of data for Power BI dashboards and AI / ML use cases.
• Collaborate closely with the BI Developer and AI / ML Specialist to ensure seamless data availability and high-performance reporting.
• Conduct data profiling and cleansing to maintain high data quality standards.
• Design a data warehouse data model based on the business requirements.
• Optimize data pipeline performance to support near real-time updates for executive dashboards.
• Design, develop, and test both batch and real-time Extract, Load and Transform (ELT) processes required for the data integration.
• Optimize ELT processes to ensure execution time is meeting the requirements.
• Manage Ingest of both structured and unstructured data into DAMAC's data lake / data warehouse system.
• Assess the data quality of the source systems and propose required enhancements to achieve a satisfying level of data accuracy.
• Document data flows, transformation rules, and best practices for ongoing reference and governance.
• Implement security and privacy standards in data handling, in line with industry's compliance requirements.
• Participate in project planning, sprint reviews, and daily stand-ups as part of the Agile project team.
• Proactively identify and resolve data discrepancies, ensuring data reliability and trustworthiness.
• Contribute to the continuous improvement of data engineering practices and adoption of new technologies where applicable.
• Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
• Always demonstrate compliance to the organizations values and ethics to support the establishment of a value-driven culture within the organization.
• Contribute to the identification of opportunities for continuous improvement and sustainability of systems, processes, and practices considering global standards and productivity improvement.

Reporting

• Assist in the preparation of timely and accurate statements and reports to meet department requirements, policies, and quality standards.

Minimum Qualifications :

• Bachelor's degree in computer science, Data Engineering, or a related field.
• Experience with Microsoft Fabric (Data Factory, OneLake, Direct Lake), Power BI integration.
• Familiarity with Delta Lake architecture or similar.
• Exposure to AI / ML pipeline integration is a plus.

Remuneration :

Attractive package with performance-based incentives and career growth opportunities.

How to Apply :

Interested candidates should send their CV and a brief cover note outlining their relevant experience to [e-mail] . We thank all applicants for their interest; however, only those selected for an interview will be contacted.

Data Engineer • Abu Dhabi, United Arab Emirates