About the job

Data Engineer – Abu Dhabi

Discover the Opportunity

We’re partnering with a leading financial services organisation in Abu Dhabi that is continuing to invest heavily in its Data & AI capabilities.

They’re looking for an experienced Data Engineer to build the scalable data infrastructure and pipelines that underpin advanced AI and machine learning solutions across the business.

This is a hands-on engineering role where you’ll work closely with AI, ML and software engineering teams, ensuring they have access to reliable, high-quality data at scale.

Discover the Responsibilities

• Design, build and optimise scalable ETL/ELT pipelines to ingest, process and transform structured and unstructured data
• Develop reliable data infrastructure capable of supporting large-scale AI, machine learning and analytics workloads
• Continuously test, monitor and optimise data pipelines to improve performance, reliability and data integrity
• Work closely with AI/ML and software engineering teams to make high-quality data easily accessible for downstream applications
• Implement strong data quality, validation, governance and security practices across the data lifecycle
• Maintain clear documentation around data architecture, lineage and metadata

Discover the Requirements

• 5+ years of experience in Data Engineering, ETL development, data warehousing or similar positions
• Strong hands-on experience designing and managing ETL/ELT workflows using technologies such as Airflow, dbt, Luigi or similar
• Excellent Python and SQL skills, alongside experience with Scala, Java or another relevant programming language
• Experience working with big data architectures and optimising large-scale data pipelines
• Hands-on experience with cloud data environments across Azure, AWS or GCP
• Experience processing and managing large-scale structured and unstructured datasets
• Strong understanding of data quality, governance, monitoring and engineering best practices
• Excellent problem-solving skills with the ability to diagnose performance and data issues
• Bachelor’s degree in Computer Science, Engineering or a related technical discipline

Why Join?

• Work on large-scale Data & AI initiatives within a highly ambitious technology environment
• Build the data foundations behind production AI and machine learning solutions
• Work alongside experienced Data, AI, ML and Software Engineers
• Take ownership of technically challenging data engineering problems with genuine business impact

Requirements added by the job poster

• 5+ years of work experience with PySpark

• 5+ years of work experience with Python (Programming Language)

• • 5+ years of work experience with Azure Databricks