Data Engineer

Investment Data Engineer - 12month FTC Location: London (Hybrid working) Salary: £75,000 - £85,000 + benefits + Delivery Bonus We are supporting a PE‑backed financial services organisation with a sizeable balance sheet and a growing institutional investment platform. The business operates in regulated financial services, with a strong focus on long‑term asset management and capital efficiency. Backed by private equity, the organisation is in a build‑out phase of its central investment capabilities, investing heavily in data, analytics and automation to support portfolio oversight, risk management and decision‑making. The role sits within a central investment function based in London and works closely with senior stakeholders across investments, risk and finance. The Role The business is hiring an Investment Data Engineer (Senior Associate) into its central investment office. This role is responsible for building and maintaining the data structures, analytics and workflows that support investment monitoring, reporting and portfolio analysis. You will partner directly with investment professionals and risk stakeholders, translating business needs into robust technical solutions. You will work alongside a peer data developer, with shared ownership for the investment data stack and analytics toolkit. This is a genuinely hands‑on role with visibility to senior decision‑makers, suited to someone who wants their technical output to directly inform investment discussions. Key Responsibilities • Design and maintain data architecture for structured and unstructured investment data • Define, source and automate data feeds including market data, portfolio data and reporting outputs • Develop production‑quality Python analytics for portfolio analysis, monitoring and reporting • Deliver automated reporting and insight via Power BI or comparable analytics tools • Partner with investment, risk and finance teams to translate requirements into scalable data solutions Experience & Skills • 3–5 years’ experience in a data engineering, analytics engineering or investment data role • Strong Python skills used in a disciplined, production environment • Solid experience working with databases and data pipelines • Exposure to modern data platforms such as Snowflake or Databricks, including use of AI tooling across structured and unstructured data • Working knowledge of financial markets; fixed income or rates exposure beneficial but not essential If this role is of interest to you please apply below or reach out to tom.willis@dartmouthpartners.com for more information.