Data Engineer
Skills
About the role
Position Summary:
An experienced data engineer with strong Azure Databricks expertise is required for a 6 month contract to develop and deliver a scalable data pipeline that ingests files and transforms them into standardised, high-quality datasets for reporting. This is a hands-on delivery role focused on building a production-grade pipeline, suited to someone comfortable working independently, defining technical solutions, and rapidly delivering high-quality data engineering components.
Location:
London - UK - Fenchurch
What will your job entail?
Key Responsibilities
Implement a scalable ETL pipeline in Azure Databricks, that transforms raw data into standardised schemas to support reporting and analytics, following a medallion architecture in line with internal design standards.
Leverage an existing email ingestion tool to extract multiple format source files from a shared mailbox.
Develop notebooks, jobs and pipelines in Databricks for ETL orchestration.
Integrate with CI/CD flows across environments using Azure DevOps.
Produce clear technical documentation of the solution to ensure maintainability post-delivery.
Experience
2+ years hands-on experience with Azure Databricks, including data validation, transformation, and optimization.
Expertise in PySpark/Spark SQL.
Knowledge of Unity Catalog and modern Azure Databricks features, as well as data best practices and concepts.
Proficiency building end-to-end data pipelines with Delta Lake/Lakehouse architecture.
Experience implementing CI/CD pipelines (Azure DevOps preferred).
Experience supporting BI reporting layers (Power BI or similar) is nice to have.
Insurance experience is nice to have.
Disclaimer
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