Senior Databricks Data Engineer
Free Tailor for ATS: 10/10 runs left
Role Title: Databricks Data Engineer
BU/Segment: Analytics / Data Management / Insurance Domain
Location: London, United Kingdom (Hybrid, 3-4 days in the office)
Employment Type: Permanent to start ASAP
Qualifications and experience we consider to be essential for the role:
Insurance industry experience is essential, with a strong understanding of policy, claims, and regulatory data.
A minimum of 5 years’ management experience required – leading technical delivery or overseeing project teams within data engineering or integration environments.
8–10 years’ experience in data engineering and integration, ideally in enterprise-scale environments.
Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake.
Hands-on experience with Spark (PySpark/SparkSQL), ETL/ELT design, and data pipeline orchestration.
Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts.
Experience working with large, complex datasets and distributed computing environments.
Proficiency in SQL, version control (e.g. Git), and CI/CD pipelines.
Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.).