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