Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain data pipelines for trading and analytics in a dynamic environment.
- Company: Global leader in commodities and energy trading with a focus on innovation.
- Benefits: Competitive salary, performance bonuses, hybrid working, and career growth opportunities.
- Why this job: Make a real impact on trading decisions using cutting-edge data engineering techniques.
- Qualifications: Strong background in Data Engineering and advanced Python skills required.
- Other info: Collaborate with traders and data scientists in a tech-driven culture.
The predicted salary is between 175000 - 175000 £ per year.
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 will 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-native 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, ClickHouse)
- Hands-on experience with Docker and containerised workloads
- Experience with Git and modern DevOps practices
- Practical experience deploying infrastructure on AWS using IaC (e.g. CDK, CloudFormation)
- A proactive, ownership-driven mindset with strong problem-solving skills
You will gain exposure to:
- Direct collaboration with Traders and quantitative teams
- Cloud-native 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.
Senior Data Engineer - Commodities & Energy Trading employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Commodities & Energy Trading
✨Network Like a Pro
Get out there and connect with people in the commodities and energy trading space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with data pipelines and cloud-native platforms. Share specific examples of how you've tackled challenges in previous roles – it’ll show them you’re the real deal!
✨Tailor Your Approach
Before any interview, do your homework! Understand the company’s business model and how they use data in trading. Tailor your responses to show how your skills can directly benefit their operations. This will set you apart from the crowd.
✨Apply Through Us!
Don’t forget to apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your talents. Plus, we’re always on the lookout for top-notch candidates like you to join our team!
We think you need these skills to ace Senior Data Engineer - Commodities & Energy Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience in data engineering, especially in commodities and energy trading. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects that demonstrate your expertise in building data pipelines and working with cloud-native platforms. We love seeing real examples of your work, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how you can contribute to our team. Be genuine and let your personality shine through – we want to get to know you!
Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people quickly. Plus, it shows you're keen on joining us at StudySmarter!
How to prepare for a job interview at eFinancialCareers
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around ETL processes and data pipeline design. Be ready to discuss your experience with Python, particularly with libraries like Pandas, as well as your familiarity with analytical databases like Redshift or ClickHouse.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles, particularly in commodities or energy trading environments. Highlight how you approached these problems and the impact of your solutions on data quality and performance.
✨Familiarise Yourself with Cloud Technologies
Since this role involves cloud-native data platforms, make sure you can talk about your experience with AWS services such as S3, Lambda, and EC2. Discuss any hands-on experience you have with Infrastructure as Code (IaC) tools like CDK or CloudFormation.
✨Engage with the Team Dynamics
Understand the collaborative nature of the role by preparing questions about how Data Engineers work with Data Scientists and Traders. Show your enthusiasm for teamwork and how you can contribute to a high-impact environment through effective communication and shared goals.