Data Engineer - Banking / Payments

Our client is seeking an experienced Data Engineer to support a critical data migration programme within a banking environment. This role focuses on high-volume payments systems, requiring deep expertise in IBM DB2 on mainframe, safe data extraction, and end-to-end migration assurance., * Deliver data migration activities within banking or payments systems, ensuring zero disruption to live transaction processing

• Design and execute safe data extraction strategies from complex, high-volume, and highly concurrent tables
• Perform data mapping, lineage analysis, and documentation
• Lead data reconciliation and validation of migrated datasets
• Develop and optimise ETL processes within controlled production environments
• Ensure production safety, minimising risk to BAU payment processing
• Proactively identify risks, issues, and dependencies, with clear and timely escalation, * Candidates may initially support data discovery and mapping activities while full senior resources are onboarded
• Flexibility and adaptability are key in early programme phases

• Strong expertise in IBM DB2 on Mainframe, including:

• Indexing, clustering, partitioning, and archiving

• Query optimisation in high-throughput environments

Experience working with large-scale, high-volume systems where extraction must not impact live processing

Proven ability in:

• Extracting data from complex and congested schemas
• Designing non-intrusive extraction techniques
• Managing data lineage and traceability, * Hands-on delivery of data migration in banking, ideally within payments systems or other mission-critical transaction platforms
• Experience working in controlled production environments with strict risk governance
• Ability to operate independently in ambiguous environments, * Strong familiarity with retail banking payments systems and data structures
• Exposure to Oracle databases for adjacent extraction requirements
• Background in capital markets or trading systems with similar high-volume, high-risk data handling, * Self-sufficient and proactive problem solver
• Comfortable working with incomplete information
• Strong communication skills with a focus on early risk escalation

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