Data Operations Engineer / Junior Data Architect

Data Operations Engineer / Junior Data Architect London – Hybrid Fulltime Industry: Banking/Asset Management/Investment Management Working Hours: 8 per day/ 40 per week Core Focus: A hands-on, all-round Data Operations specialist with architecture skills. Someone who can manage and run the data platform , especially during new asset acquisitions – ensuring data flows properly, systems function smoothly, and operations scale efficiently. Experience Desired: Background in financial services or start-up environments (ideally both). Comfortable working across the full spectrum from Back Office to Front Office . Hybrid mindset – both technical and business-oriented . Experience working between Operations and Risk , understanding both the technology and business needs . Exposure to reporting, investment data, financial reports , and dataset nuances . Familiarity working in environments with little process – someone comfortable helping to define SOPs and build structure from scratch. Tech Environment: Heavy on Microsoft stack : Dynamics, Power BI, Azure, Databricks. Data management and integration across systems, including financial reporting tools. Experience with low-code / no-code AI tools to drive operational efficiencies would be a major plus. Responsibilities: Supporting the build-out and maintenance of the financial operations (FinOps) platform . Helping to set up internal and external reporting capabilities (particularly in Power BI). Supporting asset management platform development , including ingestion of climate data, market intel, and specialist datasets . Helping to migrate financial systems to Microsoft Dynamics . Acting as the “ glue ” across teams: Finance, Ops, Risk, and Tech – ensuring smooth data and operational flows. Bridging strategy and execution, especially with limited current systems in place. Team & Structure: This is a standalone role , but part of a broader team of 15 under the COO. Working closely with operations, tax, finance, company secretary, and more. Soft Skills / Traits: Innovative, self-starter , comfortable in ambiguity. Someone who can take initiative , bring structure, and drive forward data strategy .