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Specialized banking data skills and seniority reduce applicant pool but Data Engineer roles remain popular.
Requires extensive banking domain experience and specialized data-stack knowledge, making cross-industry transferability low.
Explicit 8+ years requirement, mandatory PySpark and banking experience, and broad technical stack enforce strict filters.
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Lead the design and architecture of data engineering solutions, tools, and technologies focusing on data management and analytics across EmiratesNBD Group.
Drive data engineering standards, performance tuning, and best practices to enable scalable, reusable, and high-performing data pipelines using technologies like PySpark, Hadoop ecosystem, and cloud native platforms.
Develop and enforce data governance, security, quality standards, and regulatory alignment, managing critical data elements, lineage, archival, and access control within a centralized, consistent data asset framework.
8+ years of IT experience with at least 3 years in data engineering, architecture, and technology solution implementation.
Bachelor's or Master's degree in computer science, information systems management, or related field.
Strong hands-on programming expertise in PySpark and experience with data platforms (Hadoop, Hive, Spark, Presto, Tez).
Domain experience in banking and financial services is mandatory.
Experienced in architecting enterprise-scale data engineering solutions with a focus on performance, scalability, and data governance within large, matrixed organizations.
Skilled in driving data engineering strategy, standards, and collaboration with multiple internal stakeholders including architects, data engineers, and business intelligence teams.
Capable of operating effectively in fast-paced, dynamic environments with multiple concurrent projects, demonstrating independent planning, estimation, and delivery management.