Data Engineer
Summary
This Data Engineer role involves designing and maintaining scalable ETL/ELT pipelines and data infrastructure to support AI and machine learning initiatives within a financial services organization. The position requires strong proficiency in Python, SQL, and cloud data environments to ensure high-quality data accessibility for engineering teams.
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