Data Engineer

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.

• 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. #J-18808-Ljbffr