Data Engineer

We’re partnering with a leading global energy trading business that is continuing to invest heavily in its data and technology capabilities. They are looking for a Data Engineer to join a growing Data Science & Technology team, helping build the data platforms and pipelines that support commercial decision-making across global energy markets.

This is a great opportunity for a Data Engineer who enjoys working on meaningful data problems, building scalable solutions, and seeing the direct impact of the technology they create.

The Opportunity

You’ll play a key role in improving how data is collected, managed and delivered across the business.

Working closely with engineers, data scientists and commercial stakeholders, you’ll help build reliable data solutions that enable better analytics, forecasting and decision-making.

This is not a reporting-focused role, you’ll be working on the engineering behind the data, including:

• Building and improving data pipelines and ingestion processes.
• Designing and optimising data models and architectures.
• Working with large, complex datasets.
• Improving data quality, accuracy and accessibility.
• Supporting the development of modern data platforms.
• Partnering with business teams to understand requirements and deliver solutions.

You’ll ideally have:

• 3+ years of commercial Data Engineering experience.
• Strong SQL skills and experience working with relational databases.
• Hands-on Python experience for data processing and automation.
• Experience building ETL/ELT pipelines.
• Experience with data modelling and data architecture.
• Exposure to modern cloud data platforms, ideally Snowflake.

Experience within energy, commodities, finance or another data-intensive environment would be beneficial but is not essential.

• Work on data platforms that directly support commercial and trading decisions.
• Join a technology function investing heavily in data, analytics and AI.
• Build solutions used by teams across a global business.
• Work with modern data technologies and large-scale datasets.
• Have genuine ownership and visibility over the work you deliver.

If you’re a Data Engineer looking for a role where your work has real business impact, this is an opportunity worth exploring.