Data Engineer

Job Description

Senior Trading Data Engineer

Location: London (Hybrid)

Salary: Up to £140,000 base, plus bonus and benefits

A leading global trading firm is expanding its front‑office data engineering function and is seeking an experienced Senior Trading Data Engineer to build and own real‑time data platforms for traders and quantitative teams. This is an opportunity to work at the heart of energy and financial markets, solving complex data problems that directly influence trading decisions and P&L.

The role

As a Senior Trading Data Engineer, you’ll sit close to the trading desks, designing and running the data pipelines, APIs and storage layers that power systematic strategies, intraday analytics and risk management. You’ll collaborate with traders, quants and data scientists to deliver high‑quality, low‑latency data into cloud‑native environments, with a strong focus on automation, reliability and self‑service.

What you’ll be doing

• Designing, building and maintaining Python‑based data pipelines for real‑time and batch ingestion from market data, internal systems and external APIs.
• Developing and optimising data models and SQL queries on analytical/time‑series platforms such as Redshift, ClickHouse or similar cloud warehouses.
• Implementing and operating containerised services (Docker/Kubernetes) and CI/CD workflows to reliably deploy data infrastructure to AWS.
• Exposing high‑value data sets to traders, quants and data scientists via internal APIs, Python libraries and self‑service tools.
• Monitoring data quality, latency and system health, and troubleshooting issues that impact front‑office users during trading hours.
• Working closely with front‑office stakeholders to understand commercial priorities and translate them into robust technical solutions.

What we’re looking for

• Solid experience as a Senior Trading Data Engineer or similar role in a trading, hedge fund, investment bank or energy markets environment.
• Strong Python skills for data engineering (pandas/Polars or equivalent) and production‑quality code.
• Deep knowledge of SQL and experience with analytical or time‑series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery).
• Hands‑on experience with AWS (e.g. S3, Lambda, ECS/EKS, Redshift) and modern DevOps practices, including Docker and CI/CD.
• Proven track record working with front‑office or desk‑aligned teams (traders, PMs, quants) and delivering data solutions for real‑time or intraday analytics.
• Strong communication skills and commercial awareness, with the confidence to push back, prioritise and explain trade‑offs to non‑technical stakeholders.

Nice to have

• Background in commodities, energy trading, power/gas or renewables markets.
• Experience with streaming and real‑time data (Kafka, Kinesis or similar).
• Familiarity with infrastructure‑as‑code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch).

What’s on offer

• Competitive base salary up to £140,000, depending on experience.
• Performance‑related bonus and comprehensive benefits package.
• Hybrid working in London with regular, direct engagement with trading desks.
• The chance to shape a modern, cloud‑native data platform in a high‑impact environment.
• A culture that values pragmatic engineering, collaboration and sustainable work‑life balance over “heroics”.

If you’re a Senior Trading Data Engineer looking to work closer to the desk, with real ownership over data platforms that traders actually use, make an application today and let see if this job is right for you!