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Data Architect

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Job Description

Data Architect, Financial Services

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.

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
  • Significant and proven experience of working on Databricks (or similar), and building AI use cases using these technologies
  • 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

If you feel that you fit the brief, please apply today!

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Job ID: 147520753