Databricks Data Engineer | B2B Contract
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Summary
A 6-month B2B contract role in Warsaw for a Databricks Data Engineer to build and optimise scalable data pipelines on a major data platform, using PySpark, Python, SQL, and Delta Lake/Lakehouse architecture on cloud infrastructure (Azure/AWS/GCP).
We’re working with a technology-led business that is looking for an experienced Databricks Data Engineer to join the team on an initial 6-month contract.
You’ll be joining a major data platform project, working within an experienced engineering team to build and improve scalable data solutions using Databricks at the heart of the environment.
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
- Building and optimising ETL/ELT pipelines for large datasets
- Improving data quality, reliability and performance across the platform
- Working with cloud-based data infrastructure
- Collaborating with Data Engineers, Architects and wider technical teams
- Supporting the continued development and modernisation of the data platform
What we’re looking for
- Strong commercial experience with Databricks
- Advanced Python, PySpark and SQL skills
- Experience with Delta Lake / Lakehouse architecture
- Strong understanding of modern data engineering principles
- Experience building and optimising large-scale data pipelines
- Experience working within Azure, AWS or GCP environments
- Previous experience working in contract or project-based environments is beneficial
- Comfortable working with technical and non-technical stakeholders