Senior Data Engineer | Cambridge | Greenfield Project

Overview

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.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.Responsibilities

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 RandD, Commercial, and beyond to solve real-world problems with elegant data solutions.Creating clear, concise technical documentation and contributing to continuous improvement initiatives.Qualifications

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 ..... full job details .....