Requirements
Requires 5+ years of experience in data engineering and/or data architecture, with significant experience on Databricks (or similar) and building AI use cases. Must have proven experience building and operating automated data pipelines using orchestration tools like Airflow, Luigi, and dbt, with a strong understanding of big data architectures and pipeline performance optimization. Advanced SQL skills and proficiency in Python, along with at least one additional programming language (Scala or Java), and hands-on experience with cloud-based data platforms are essential. A Bachelor's degree in Computer Science, Engineering, or a related discipline is required.
Description
Data Architect, Financial ServicesOur 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 technologiesProven 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 optimisationAdvanced SQL skills for data manipulation and queryingProficiency in Python and at least one additional programming language (e.g. Scala or Java)Hands-on experience with cloud-based data platformsStrong analytical and problem-solving skills, with the ability to communicate complex technical concepts clearlyBachelor's degree in Computer Science, Engineering, or a related disciplineIf you feel that you fit the brief, please apply today!