Senior Data Engineer - Databricks

What We're Looking For

We're on the hunt for people who love solving problems, thinking critically and staying curious. If you've worked in data or tech before - amazing. If you've got a brain that enjoys untangling complex stuff and applying what you've learned - even better!

We're less about ticking boxes and more about whether you'd thrive in this environment:

• Do you get excited about helping clients move forward?
• Do you want to learn from people who are really good at what they do?
• Are you keen to experiment with the latest tools and ideas?
• Can you balance working independently and being a great teammate?
• 5 years experience using SQL, Python or other relevant technology?
• Experience working with Databricks and relevant certifications in Databricks or cloud platforms?

If you said "yes" more than once, let's talk.

Key Skills:

• As a Consulting Data Engineer, you're the builder - making sure data flows cleanly and reliably.
• Designing and building robust data pipelines using Databricks, Spark, and Delta Lake
• Implementing scalable and secure Lakehouse architectures on Databricks
• Collaborating with analysts, ML engineers, and platform teams to deliver Databricks-native solutions
• Applying best practices in data governance, CI/CD, and orchestration within the Databricks ecosystem
• Ensuring systems are secure, reliable and cost-effective
• 6+ years of experience in Python, Spark, and SQL for building scalable data pipelines in Databricks
• Deep experience with Databricks features including Delta Lake, Unity Catalog, and MLflow
• Workflow orchestration using Airflow or Databricks Workflows
• Integration experience with dbt, Fivetran, and Terraform for modern data stack automation
• Familiarity with cloud platforms (Azure, AWS, GCP)
• Knowledge and experience of data modelling techniques (Inmon, Data Vault, Kimball)
• Knowledge and experience of the data lifecycle, data management & governance, data platform architectures
• Knowledge and experience of Databricks data pipeline & data platform optimisation techniques