> Markdown version of [/jobs/ext/3745201-data-engineer-finance-data](https://www.wearedevelopers.com/jobs/ext/3745201-data-engineer-finance-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - Finance Data

- **Company:** Client Server
- **Location:** Epsom, UK (Remote available)
- **Salary:** £85,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Computing Platforms, Big Data, Databases, Data Architecture, Information Engineering, Data Infrastructure, Python (Programming Language), PostgreSQL, Standard Sql, SQL Databases, Database Optimization, Data Lakes, Kubernetes, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer-finance-data/51937367

## About the Role

You have experience as a Data Engineer, ideally working with financial data / market data in a FinTech or financial services environment
You have strong SQL and Python coding skills
You have AWS experience, including Data Lakes and S3
You have experience of building and supporting large scale data pipelines
You have experience with PostgreSQL
You have experience with times series data, they use TimescaleDB but other experience with similar platforms is fine
You have experience with Orchestration platforms such as Dagster or Airflow
You're collaborative with great communication skills

## Description

Data Engineer (Python SQL AWS) London / WFH to £85k
Do you have experience of building data pipelines within finance / Fintech environments?
You could be progressing your career in a hands-on Data Engineer role at a scaling Investment Research tech company with great benefits and perks.
As a Data Engineer you will be at the intersection of data engineering, database management and platform delivery. You will help build and evolve a modern, scalable AWS cloud based data platform.
Your focus will be on designing and maintaining data pipelines, ingestion frameworks and processing workflows, supporting the migration of existing datasets into a unified data architecture. Collaborating closely with the Data Platform Engineer, you will contribute to platform design, data modelling, database optimisation and the onboarding of new data sources.
You'll also assist with managing and optimising PostgreSQL and time-series database environments, improving data quality and governance and ensuring platform reliability, performance and scalability.
Location / WFH:
You'll join colleagues in the London office three days a week with flexibility to work from home the other two days.