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- Tasks: Build and maintain robust Python and SQL data pipelines for energy trading.
- Company: Leading energy trading organisation with a focus on innovation.
- Benefits: Competitive contract rate, potential long-term engagement, and hands-on experience.
- Why this job: Join a dynamic team and make an impact in the energy sector.
- Qualifications: Strong Python and SQL skills, with data modelling and ETL fundamentals.
- Other info: Opportunity to mentor others and work with cutting-edge technologies.
The predicted salary is between 48000 - 72000 £ per year.
A leading energy trading organisation is hiring a senior Python Data Engineer to support front-office analytics and forecasting during a major data platform transition. This is a hands-on contract role for someone who can build robust pipelines, work directly with traders and analysts, and raise the bar across a mixed-ability data team.
Contract: Initially until year end (potentially up to 2 years)
Start: Immediate
What you’ll be doing:
- Building and maintaining Python + SQL data pipelines
- Integrating multi-source data (forecasts, wind/solar output, LNG movements, streaming feeds)
- Supporting energy fundamentals and forecasting dashboards
- Working closely with front-office stakeholders
- Improving data quality, modelling, and governance
- Contributing to best practices and mentoring across the team
- Helping transition the platform toward Databricks
Must-have skills (non-negotiable):
- Strong Python and SQL
- Solid data modelling and ETL fundamentals
- Experience with Azure Blob Storage or S3
- Comfortable discussing data with front-office users
- Able to mentor and uplift less experienced engineers
- Active use of AI coding tools (e.g. Copilot, Claude)
Nice-to-have experience:
- Databricks (being implemented imminently)
- Orchestration: Dagster preferred (Airflow / Prefect acceptable)
- Energy or commodities trading exposure (helpful, not required)
Data Engineer - TWE44291 employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - TWE44291
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially those involving Python and SQL, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical chats! Brush up on your data modelling and ETL fundamentals. Be ready to discuss how you've tackled similar challenges in past roles, especially with front-office stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can give you an edge in the hiring process.
We think you need these skills to ace Data Engineer - TWE44291
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as any experience with data modelling and ETL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your experience can help us during the data platform transition. Keep it concise but impactful!
Showcase Your Mentoring Skills: Since mentoring is key in this role, share examples of how you've uplifted less experienced engineers in the past. We love seeing candidates who can contribute to team growth and best practices!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at twentyAI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your data modelling and ETL fundamentals, and be ready to discuss how you've built and maintained data pipelines in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data integration or quality improvement. Be ready to explain your thought process and the impact of your solutions, especially in a trading context.
✨Engage with Front-Office Scenarios
Since you'll be working closely with traders and analysts, think about how you can relate your technical skills to their needs. Prepare to discuss how you’ve supported front-office analytics and forecasting in previous roles.
✨Mentorship Mindset
Highlight any experience you have in mentoring or uplifting less experienced engineers. This shows that you’re not just a tech whiz but also a team player who values collaboration and knowledge sharing.
