Data Engineer
Posted 1 week ago by RED Global
Negotiable
Inside
Hybrid
London Area, United Kingdom
Summary: The Data Engineer role requires an experienced professional skilled in data lineage, analysis, governance, and Financial Crime data. The position focuses on supporting regulatory and compliance programs by ensuring data transparency and audit readiness. The role involves tracing Critical Data Elements and validating complex datasets. It is a hybrid position based in London, with a contract duration until the end of 2026.
Key Responsibilities:
- Support regulatory, audit, and compliance-driven programmes.
- Trace Critical Data Elements and validate complex datasets.
- Document end-to-end data flows for transparency and audit readiness.
- Engage with stakeholders to translate regulatory requirements into data rules and insights.
- Work closely with business, compliance, risk, and technology stakeholders.
Key Skills:
- Proven experience in data lineage analysis.
- Strong data analysis experience within Financial Crime domains.
- Advanced SQL skills for data manipulation and validation.
- Experience with multiple data sources including databases and APIs.
- Solid understanding of data governance principles.
- Excellent stakeholder engagement skills.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
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.