We're looking for an experienced Data Engineer with strong Azure Databricks expertise to support the design, development, and optimisation of modern data platforms. You'll be responsible for building scalable data pipelines, managing large datasets, and delivering high-quality data solutions within an Azure environment.
Key Skills & Experience Required
Strong hands-on experience with Python, PySpark, and SQL/Spark SQL for building production-grade ETL/ELT pipelines
Solid knowledge of Apache Spark, including DataFrames, joins, aggregations, partitioning, caching, and performance optimisation
Experience working within Azure Databricks, including clusters, job clusters, notebooks, repositories, jobs, and Databricks Runtime
Proven experience implementing Lakehouse architectures, including Bronze, Silver, and Gold data layers on Azure Data Lake Storage Gen2
Familiarity with modern data ingestion approaches, including Auto Loader, batch processing, incremental loads, and Change Data Capture (CDC)
Experience orchestrating workflows using Lakeflow Jobs and Lakeflow Pipelines
Working knowledge of Unity Catalog, including schemas, tables, access controls, and data governance best practices
Experience with Git-based version control and CI/CD processes, ideally using Azure DevOpsDesirable Skills
Experience with Kafka and real-time or streaming data solutions
Exposure to Debezium and CDC frameworks
Knowledge of Kimball dimensional modelling and enterprise data warehouse design principles
If this Data Engineer role sounds like a good fit, you can work 3 days per week on site in Nottingham and you’d like to know more, please apply with your most up‑to‑date CV and I’ll be in touch.
Azure Databricks Data Engineer | Outside IR35 | £450 - £500 | Hybrid | Nottingham
Salary description
£450.00 - £500.00 per day