Data Engineer

We are seeking an experienced Data Engineer with strong capability across data lineage, data analysis, data governance, and Financial Crime data. The role will support regulatory, audit, and compliance-driven programmes, with a focus on tracing Critical Data Elements, validating complex datasets, and ensuring data flows are transparent, controlled, and audit-ready.

Contract info

• Role Title: Data Engineer
• Location: London
• Duration: Until 31/12/2026
• Working Model: Hybrid – 2 days onsite per week
• Engagement: Inside IR35

Key Skills and Experience

• Proven experience in data lineage analysis, including tracing Critical Data Elements (CDEs) across multiple systems.
• Ability to document end-to-end data flows to support transparency, audit, regulatory compliance, and control requirements.
• Strong data analysis experience within Financial Crime domains, including KYC, AML, PEP, and Sanctions.
• Experience assessing, validating, and reconciling large and complex datasets for risk, compliance, and regulatory use cases.
• Solid understanding of data governance principles, including data quality, integrity, completeness, controls, and regulatory alignment.
• Advanced SQL skills, with strong experience in data manipulation, extraction, transformation, and validation.
• Experience working across multiple data sources, including databases, APIs, flat files, and other structured or semi-structured data sources.
• Background in data migration, remediation, or control-driven programmes, ideally within Financial Crime or regulatory environments.
• Strong focus on traceability, consistency, documentation, and audit readiness.
• Excellent stakeholder engagement skills, with the ability to translate EDD and regulatory requirements into data rules, logic, and reporting insights.
• Ability to work closely with business, compliance, risk, and technology stakeholders to support risk identification and decision-making.

If this sounds relevant and you're interested, please apply with your latest CV.