Overview

We’re supporting a London-based investment firm in finding a proactive Data Engineer to design and maintain automated data pipelines, integrate multiple systems, and support portfolio management, operational workflows, and investment reporting for ultra-high-net-worth clients.What you’ll do

Design, build, and maintain automated data pipelines and ETL workflowsIntegrate data from portfolio management systems, Bloomberg, and other financial sourcesDevelop APIs and automation tools to improve operational efficiencySupport investment teams with data analysis and visualisation for portfolio and risk reportingDocument processes and solutions clearly for technical and non-technical usersMonitor and improve data quality, reconciling discrepancies and ensuring accuracy across systemsWhat you’ll bring

Strong programming skills in Python and SQLExperience with Git for version controlHands-on experience with REST APIs (building or integrating)Proven ability to build and maintain ETL workflows or data pipelinesExcellent problem-solving skills and attention to detailClear communicator, comfortable working across technical and business teamsNice to have

Experience with Azure and/or DockerFamiliarity with portfolio management systems or Bloomberg dataKnowledge of data visualization tools (Pandas/Polars, Matplotlib)Experience automating operational or back-office processes in financeWhat’s in it for you

Real Impact – Your pipelines and tools will directly power investment and client reportingHands-On Engineering – Work with Python, SQL, Git, REST APIs, and cloud platformsOwnership and Growth – Be the go-to Data Engineer in a growing, forward-looking firmCollaborative Culture – Partner with investment, operations, and IT teams to solve data challengesSeniority level

Mid-Senior levelEmployment type

Full-timeJob function

Engineering and Information TechnologyIndustries

Financial Services, Investment Management, and Banking

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