Data Architect

Data Architect, Financial Services Our client, a leading financial services organization in Abu Dhabi, are seeking an experienced Data Architect to join their AI function, 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, and/or data architecture. • 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! Show more Show less

5+ years’ experience in data engineering, and/or data architecture. 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.

Design, implement, and maintain scalable ETL/ELT pipelines that ingest, cleanse, and transform data from a wide range of sources. Work with complex, high-volume datasets to ensure data is reliable, accessible, and optimised for business and analytical needs. Collaborate with software engineering and AI/ML teams, applying best practices across data governance, security, and quality. Continuously improve data pipelines, proactively identify issues, and document data architectures, lineage, and metadata to support transparency and long-term scalability.