Senior Data Mapping Engineer in City of London

Data Inc

Location

London / Hybrid

Engagement

Fixed Term Contract or PAYE Contract

Sector

Financial Services / Wealth Management

Role Overview

We are seeking a senior, hands‑on Data Mapping Engineer to lead a greenfield data migration mapping initiative for a large‑scale wealth platform transformation. This role sits at the heart of a complex legacy‑to‑modern migration, requiring deep expertise in source‑to‑target data mapping, object modelling, and stakeholder alignment. The target platform is still evolving, making this a role for someone comfortable working where structures, rules, and assumptions must be interpreted and shaped.

Key Responsibilities

• Lead the definition and documentation of source and target object models and their alignment.
• Produce clear, developer‑ready mapping specifications for business sign‑off; work closely with business SMEs, data architects, and technology teams to resolve mapping ambiguity.
• Drive decisions on golden source, structure, and data interpretation.
• Support defect triage and root cause analysis related to mapping issues.
• Maintain robust version control and change rationale across mapping artefacts.
• Lead workshops and facilitate alignment across technical and non‑technical stakeholders.
• Support ETL development and testing teams by clarifying mapping logic and assumptions.

Required Experience

• Proven experience leading data mapping for large‑scale platform migrations.
• Strong data modelling and object modelling background.
• Experience working with legacy datasets spanning multiple decades.
• Comfortable operating where target platforms are still being built or refined.
• Strong stakeholder management skills with the ability to drive decisions.
• Confident SQL user for data profiling and validation.
• Wealth management platform experience highly desirable.
• Avaloq experience advantageous.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

Data Infrastructure and Analytics

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