📍 Hybrid (Cambridge, 1 day/week on-site)

We’re working with an innovative, fast-growing organisation that is on a mission to become truly data-driven. They’re looking for a Senior Data Engineer to play a key role in designing and building a new Databricks-based lakehouse platform — the foundation for unlocking advanced analytics and AI solutions across the business.
This is a fantastic opportunity for a product-minded engineer who thrives in a greenfield environment and wants to shape data infrastructure that will directly impact real-world outcomes.

What you’ll be doing:

• Designing and shaping the foundations of a Databricks lakehouse platform (Unity Catalog, dimensions, facts, governance).
• Writing clean, performant Python and SQL, with strong use of Spark/PySpark.
• Integrating 3rd-party tools and connectors (CRM systems, discovery platforms) into a cohesive ecosystem.
• Taking ownership of components from inception to production — ensuring reliability and scalability.
• Championing best practices: CI/CD, testing, modular code, and clean architecture.
• Collaborating with stakeholders across R&D, Commercial, and beyond to solve real-world problems with elegant data solutions.
• Creating clear, concise technical documentation and contributing to continuous improvement initiatives.

What we’re looking for:

• Hands-on experience building Databricks lakehouses in cloud environments (AWS preferred).
• Strong background in data engineering within scaling or greenfield settings.
• A “data-as-a-product” mindset: quality checks, version control, documentation, and measurable business value.
• Solid engineering skills: Git, CI, automated tests, alerting, and monitoring.
• Someone collaborative, adaptable, and motivated by continuous learning.
• Excited to establish foundational patterns that others will follow.

If you’re excited about building trusted, scalable data platforms from the ground up and want to see your work make a visible impact, we’d love to hear from you.