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Our client, a leading financial services organization in Abu Dhabi, are seeking an experienced Data Architect to join a newly established AI Innovation Hub, working on large-scale, enterprise data platforms. This role offers the opportunity to design

and build robust data architectures and pipelines that support both operational and advanced analytical use cases in a complex, fast-moving environment.

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The Role:

• You will be responsible for designing, implementing, and maintaining scalable ETL/ELT pipelines that ingest, cleanse, and transform data from a wide range of sources.

• Working with complex, high-volume datasets, you will ensure data is reliable, accessible, and optimised for business and analytical needs.

• You will collaborate closely with software engineering and AI/ML teams, applying best practices across data governance, security, and quality.

• A key part of the role involves continuously improving data pipelines, proactively identifying issues, and documenting data architectures, lineage, and metadata to support transparency and long-term scalability.​

Requirements:

• 5+ years’ experience in data engineering, ETL/ELT development, or data warehousing.

• Proven experience building and operating automated data pipelines using modern orchestration and transformation tools, such as Airflow, Luigi and dbt.

• Strong understanding of big data architectures and pipeline performance optimisation.

• Advanced SQL skills for data manipulation and querying.

• Proficiency in Python and at least one additional programming language (e.g. Scala or Java).

• Hands-on experience with cloud-based data platforms.

• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearly.

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.