Data Engineer

About The Role FDM is a global business and technology consultancy seeking a Data Engineer to work for our client within the Finance sector. This is initially a 6 month contract with very good prospects to extend and will be a hybrid role that be based in London. The Senior Data Analyst will take ownership of the client-relationship data layer that underpins all future sales tooling within a FICC department of a Bank. In FICC, each asset class (FX, Rates, Credit) maintains its own systems, generating fragmented and inconsistent client data.

Your primary responsibility is to clean, reconcile, align, and integrate these datasets so that Sales teams have a single, reliable client view. This is the foundational step before AI-driven insights and UI development.

Responsibilities

Own and manage the client-relationship data layer that supports all future sales tools within the FICC division, ensuring accuracy and alignment across FX, Rates, and Credit datasets.

Clean, reconcile, and integrate fragmented client data from multiple asset-class systems to create a single, consistent and trusted client view for front-office Sales teams.

Diagnose data quality issues, review code where necessary, and resolve inconsistencies in client hierarchies, lineage, and logic across enterprise data systems.

Collaborate with senior business stakeholders across Sales & Trading to understand data requirements and deliver reliable datasets that support AI-driven insights and UI development.

Work independently in a greenfield environment, using SQL, ETL processes, and technical problem-solving skills to deliver high-quality, production-ready datasets.

About You

At least 5 years of experience and strong technical background with experience in SQL, ETL processes, and complex data reconciliation.

Able to understand (and at times review) code to identify data logic or lineage issues.

Experience with enterprise data systems in Sales & Trading / FICC / Markets.

Ability to diagnose and resolve inconsistencies across systems with differing client hierarchies.

Experience delivering clean, trusted datasets for front-office use.

Strong communication skills with ability to work closely with senior business stakeholders.

Demonstrated ability to work hands-on and independently in a greenfield environment.