Data Engineering Jobs

5 jobs

Results

AI full stack engineer

Last week

Hyre Ai London £50,000 – £70,000 pa

Own an AI-first analytics startup's production multi-agent system end to end, building LLM-powered features across agents, APIs and infrastructure. Work spans tool calling, structured outputs, memory and context management, plus adding tools to the company's MCP server. You'll also build evals and tracing and run the AWS stack (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, Bedrock) with CI/CD and infrastructure as code.

On-site Permanent

Financial Crime Risk Transaction Monitoring Control Owner

5 months ago

Barclays Glasgow

Owns the optimisation and strategy of transaction monitoring controls across Barclays UK and International, tuning surveillance systems and developing detection solutions. Involves data exploration with SQL, Scala, Spark and Python, plus governance and escalation within a regulated financial crime environment.

On-site Permanent

Back End Developer

Last week

Big Sky Additions Norwich £35,000 – £38,000 pa

Hands-on backend role building and maintaining services and RESTful APIs in C# and .NET for a data analytics platform used to access and understand financial information. You'll work in a small team reporting to the CTO, integrating data from multiple sources, optimising SQL queries and improving API performance, reliability and scalability.

On-site Permanent

Python Data Engineer - Man Group plc

Last week

eFinancialCareers London

Builds and supports an enterprise data platform primarily on MS SQL Server with .NET services, writing Python and SQL stored procedures, functions and scripts. Works on ETL development with SSIS and SSAS, dimensional data modelling, and dashboards in Streamlit, Power BI or Tableau, supporting Operations, Risk and Finance. Mix of maintaining existing systems and greenfield data projects, with AI tooling used daily.

On-site Permanent

Desk Aligned Quant Dev

Last week

eFinancialCareers London

Embedded within a hedge fund's investment team, building Python research platforms, simulation and backtesting frameworks, data pipelines and tooling for systematic trading strategies. Works daily with quantitative researchers and portfolio managers to productionise signals and models, with a focus on testing, CI/CD and scalable system design.

On-site Permanent

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