Senior Data Engineer - Commodities & Energy Trading in Islington, United Kingdom

Senior Data Engineer - Commodities & Energy Trading

£Up to £175,000 GBP

Competitive Bonus

Hybrid WORKING

Location:

Central London, Greater London - United Kingdom

Type:

Permanent

Senior Data Engineer - Commodities & Energy Trading

London | Permanent | Hybrid Working

Our client is a global commodities and energy trading organisation operating an asset-light, highly diversified business model. The firm combines advanced analytics, proprietary technology, and robust risk management to support trading, optimisation, and risk-management decisions across energy and commodities markets.

As a

Senior Data Engineer , you will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders, and technology teams.

You'll have the opportunity to:

Build and maintain scalable data pipelines supporting trading and analytics use cases

Ingest structured and unstructured data from diverse internal and external sources

Support predictive analytics, systematic trading, and machine-learning workloads

Partner closely with Data Scientists and Trading teams to deliver high-quality datasets

Contribute to cloud- data platforms using modern engineering practices

Drive improvements in data quality, performance, and self-service capabilities

Your Responsibilities

As a

Senior Data Engineer , you will:

Design and implement data ingestion pipelines using ETL, streaming, scraping, and batch approaches

Clean, enrich, and transform datasets for analytical and operational consumption

Persist data across databases, warehouses, and data lakes

Distribute data internally via APIs, Python packages, and direct querying

Maintain and enhance production data pipelines and databases

Support post-processing automation, including analytics, models, and visualisation workflows

Enable Data Scientists through shared libraries, cloud resources, and documented data access

Maintain knowledge bases covering data sources, pipelines, and usage

Key Requirements

As a

Senior Data Engineer , you should have:

Strong engineering background in Data Engineering, Computer Science, or similar

Experience working in commodities, energy trading, or financial markets environments

Advanced Python skills, including extensive use of Pandas

Experience with analytical or time-series databases (e.g. Redshift, Click

House)

Hands-on experience with Docker and containerised workloads

Experience with Git and modern Dev

Ops practices

Practical experience deploying infrastructure on AWS using IaC (e.g. CDK, Cloud

Formation)

A proactive, ownership-driven mindset with strong problem-solving skills

You will gain exposure with:

Working as a

Senior Data Engineer , you will gain exposure to:

Direct collaboration with Traders and quantitative teams

Cloud- data platforms supporting real-time and batch processing

Big-data and distributed processing tools

AWS services such as S3, Lambda, Athena, EMR, Kinesis, and EC2

Advanced analytics, visualisation, and data-science workflows

Emerging technologies across AI and machine learning

Why Join?

Work on data platforms that directly support trading and optimisation decisions

Own data engineering solutions end-to-end in a high-impact environment

Operate in a technically deep, collaborative engineering culture

Competitive compensation with performance-linked bonus

Hybrid working model supporting flexibility and collaboration

Interested? Apply now.

Reference:

AON/AMC/DKData

Engineer

#aaon

TPBN1_UKTJ