2 of 2 Data Transformation Jobs in West London

Location: Central London (Hybrid - 3 days in office) Salary: Up to £62,000 per annum Contract Type: Fixed Term (18 months) Are you a skilled Data Engineer looking to make a real impact in a world-renowned cultural institution? We're working with a prestigious organisation undergoing a major digital and data transformation - and they're looking … for a hands-on Data Engineer to help build the foundations of their future data estate. This is a unique opportunity to join a high-impact transformation programme at a pivotal moment. You'll play a key role in designing and building robust, scalable data pipelines that bring together data from across the organisation - including … CRM, HR, Finance, and Commercial systems - into clean, trusted, and AI-ready datasets. You'll be part of a growing data team, working closely with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate More ❯

Data Engineer £425 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Contract Data Engineer Remote-first/6 month contract (rolling) £425 p.d Outside IR35 Currently in search of a Data Engineer to join growing digital agency working with FS client. You'll be joining a specialist consultancy that partners with top-tier financial … institutions, tackling high-impact projects in areas like reinsurance, asset management, and complex financial data transformation. The work is hands-on, technical, and at the sharp end of solving problems that spreadsheets can't touch. What you'll do Engineer and analyse large datasets to deliver insights that shape client strategy. Build scalable solutions with Python (Pandas/NumPy … SQL, and cloud tools like BigQuery on GCP . Support senior business experts by turning raw financial data into decisions that matter. Design and run data mapping projects that automate workflows and cut through complexity. What you bring A solid grounding in investment/financial data (securities, assets, operations experience). Python SQL Cloud: GCP/BigQuery More ❯