Data Engineer - Databricks
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Summary
Senior freelance Data Engineer (initial 6-month contract) building and optimising scalable Databricks data pipelines for a European technology company's data platform transformation. Core stack: PySpark, Python, SQL, Delta Lake/Lakehouse, with workload migration and Spark performance tuning on Azure, AWS or GCP.
We’re working with a European technology company undergoing a major data platform transformation and they’re looking for a senior Databricks Data Engineer to join the team on an initial 6-month freelance contract.
You’ll be coming into an environment where the data platform is being actively built and modernised, with Databricks at the centre of the architecture.
What you'll be working on
- Designing and building scalable data pipelines within Databricks
- Developing production-grade workloads using PySpark, Python and SQL
- Working extensively with Delta Lake and Lakehouse architecture
- Supporting the migration of existing workloads into Databricks
- Optimising Spark workloads and improving pipeline performance
- Working with Data Scientists, Analytics Engineers and Cloud Engineers
- Implementing data quality, testing and monitoring
- Contributing to the wider architecture and technical direction of the platform
We're looking for someone who has
- 5+ years of experience in Data Engineering
- Strong hands-on Databricks experience
- Strong understanding of Delta Lake and Lakehouse architecture
- Experience building and optimising production data pipelines
- Experience working with Azure, AWS or GCP
- Experience working within large-scale data environments
- The ability to operate independently and hit the ground running