Azure · Databricks
Senior Azure Data Engineer (Databricks)
Location: Glasgow or Edinburgh (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Engineer advanced data solutions at scale in a world-class consulting environment
The Role
As a Senior Azure Data Engineer (Databricks) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure. You’ll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You’ll also contribute to best practice implementation and continuous improvement within cross-functional engineering teams.
This role will sit in our Scotland office, with a need to potentially work in either Edinburgh or Glasgow depending on client expectations.
What You’ll Do
Design and develop robust pipelines using DeltaLake, Spark Structured Streaming, and Unity Catalog
Build real-time event-driven solutions with tools such as Kafka and Azure Event Hubs
Apply DevOps principles to develop CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions
Collaborate with clients and stakeholders to translate data needs into strategic technical solutions
Champion clean code, data lifecycle optimisation, and software engineering best practices
What We’re Looking For
Proven hands-on experience with Databricks platform and orchestration
Strong skills in Python, PySpark, and SQL, with knowledge of distributed data systems