Data Engineer

Data Engineer

Up to £50,000
Leeds (hybrid)

This is a great opportunity to join a high-growth organisation where you can take ownership of modern data engineering initiatives, helping to shape scalable data platforms and support cutting-edge analytics and AI projects.

Data Engineer

Competitive Salary + Benefits
Leeds or London | Hybrid (2 Days per Week in Office)

This is a great opportunity to join a growing data and technology consultancy environment where you can take ownership of modern data engineering initiatives, helping to build scalable cloud-based data platforms that support analytics, reporting and AI-driven solutions.

Our client is a global marketing, data, technology and creative services organisation that partners with leading consumer brands across a range of industries.

Operating within a fast-paced, project-led environment, the business is investing heavily in modern data platforms, analytics capabilities and AI initiatives. The team is continuing to expand its data engineering capability and is looking for someone who can make a genuine impact from day one.

You will take ownership of designing, building and maintaining modern data solutions across a variety of projects. As a key member of the team, you will play an important role in developing scalable data platforms and establishing engineering best practices.

Key responsibilities include:

• Designing, building and maintaining scalable data pipelines.
• Integrating data from multiple internal and external data sources.
• Developing and optimising data models for analytics and reporting.
• Building solutions within Microsoft Fabric and other modern cloud platforms.
• Collaborating closely with Analytics and Data Science teams.
• Supporting AI initiatives through robust and reliable data foundations.
• Developing API integrations and automated data ingestion processes.
• Managing data engineering projects from design through to deployment.
• Helping define data engineering standards and best practices.

You will bring strong capability in:

• Python development.
• Advanced SQL skills.
• Experience with Azure, AWS or GCP.
• ETL / ELT development.
• Data pipeline design and optimisation.
• Core data engineering principles.
• Strong stakeholder communication skills.
• Working independently within fast-paced project environments.

You will receive a competitive salary up to £50,000 depending on experience.

Please register your interest by sending your CV toMolly Bird via the apply link on this page.