Data Engineer

Marc Ellis; United Arab Emirates; On-site; AED 220,000 - 313,000; Full time

Job summary

A prominent technology firm in the United Arab Emirates is seeking a skilled Data Engineer to design and optimize scalable data solutions. The ideal candidate will possess extensive experience in data modeling, pipeline development, and knowledge of Azure Data Factory and Power BI. Responsibilities include creating reliable data flows, developing data warehouses, and ensuring data quality. Candidates should have a bachelor’s degree and at least 4 years of relevant experience. A focus on problem-solving and effective communication is essential.

Qualifications

• At least 4 years of experience as a Data Engineer or similar role.
• Experience with Azure Data Factory / Synapse / Databricks/ Microsoft Fabric & Power BI.
• Strong proficiency in SQL for advanced querying and performance tuning.

Responsibilities

• Design and maintain scalable data pipelines for various data sources.
• Develop and manage data warehouses/lakehouses with modern architectures.
• Collaborate with stakeholders to understand reporting needs.

Skills

Data analysis

Database management

Problem-solving

Familiarity with data structures

Effective communication

Organizational skills

Conflict resolution

Adaptability

Education

Bachelor’s degree or similar through experience

Tools

Azure Data Factory

Power BI

Databricks

Apache Spark

Airflow

Job description

Job Details

Job Title: Data Engineer

Department: Information Technology (IT)

Reports to: Senior Manager – MDM

Prepared By: Senior Manager – MDM

Grade of Reporting Manager: FC09

Prepared On: January 2026

Proposed Grade: FC07

Upgrade / New Role: New

HoD: Vice President – IT

Business unit purpose

The purpose of the Data Platform department is to provide a trusted, scalable, and secure foundation for data that enables the business to make faster, better-informed decisions and build data-driven products.

Job Purpose

Data Engineer with strong data modeling and pipeline development skills, along with hands-on experience supporting Power BI reporting and analytics. The ideal candidate will design, build, and optimize scalable data solutions that enable reliable dashboards, self-service analytics, and data-driven decision-making across the organization.

Job Dimensions and Scope

Direct Reports: 0

Indirect Reports: 0

Impact on Revenue: 0

Impact on Cost: 0

Impact on Employee (count): 1

Organisation Structure

Org chart should clearly depict the layout of the Business unit. Highlight the Manager and the Manager’s manager. Provide the complete span of control in-case of managerial roles.

Chief Executive Officer

Vice President – IT

Senior Manager Master Data

Data Engineer

Key Result Areas

• Design, build, and maintain scalable data pipelines for ingesting data from multiple sources (databases, APIs, files, SaaS platforms); establish reliable data flows and timeliness.
• Develop and manage data warehouses / lakehouses using modern architectures (Delta Lake, star schema, medallion layers).
• Transform raw data into analytics-ready datasets optimized for Power BI consumption.
• Collaborate with analysts and business stakeholders to understand reporting requirements and translate them into reliable data models.
• Create and maintain semantic models and optimized datasets for Power BI.
• Ensure data quality through validation checks, monitoring, and reconciliation processes.
• Implement incremental loads, CDC patterns, and data refresh strategies.
• Optimize query performance for Power BI (model design, aggregations, partitions, DAX efficiency).
• Support production deployments, troubleshoot data issues, and improve pipeline reliability.
• Document data models, pipelines, and best practices.

Job Context

Data Engineer with strong data modeling and pipeline development skills, along with hands-on experience supporting Power BI reporting and analytics. The ideal candidate will design, build, and optimize scalable data solutions that enable reliable dashboards, self-service analytics, and data-driven decision-making across the organization.

Knowledge, Skills & Minimum Experience

Education Qualification:
Bachelor’s degree or similar through experience. You have at least 4+ years of proven experience in a Data Engineer or similar role; You must have 4+ years of experience with Azure Data Factory / Synapse / Databricks/ Microsoft Fabric & Power BI

Work Experience:
Strong experience as a Data Engineer or similar role
Proficiency in SQL (advanced querying, performance tuning)
Experience with Power BI:
Dataset and semantic model design
Star schema modeling for analytics
Incremental refresh and refresh optimization
Understanding of DAX performance (even if not writing complex DAX daily)
Advanced DAX and Power BI report optimization
Experience building ETL/ELT pipelines using tools such as:
Azure Data Factory / Synapse / Databricks/ Microsoft Fabric
Apache Spark / PySpark
Airflow or similar orchestration tools
Hands-on experience with data lakes, data warehouses, or lakehouse architectures
Knowledge of cloud platforms (Azure, AWS, or GCP)

Skills:
Data analysis
Database management
Problem-solving
Must be familiar with data structures, systems tables, error messages, and have experience in system problem resolution
Ability to communicate effectively, concisely, and logically in a timely manner and at an appropriate level, while maintaining confidentiality
Excellent organizational skills to function effectively under time constraints and within established deadlines, with particular attention to detail
Conflict resolution experience
Flexible & adaptable through organizational growth

Competency

Competency level