Senior Data Engineer
Location: Hybrid (2 Days office)
Type: Permanent
Salary: £70,000–£80,000 + Benefits
About the Role
We're looking for a Senior Data Engineer to join a growing AI & Data team, building modern data platforms using Databricks and Microsoft Fabric. You'll design and develop scalable data pipelines, data models and lakehouse solutions that support reporting, analytics and AI initiatives.
Key Responsibilities
- Lead data pipeline architecture development/orchestration/maintenance.
- Develop robust data models and ETL/ELT processes.
- Optimise data performance and troubleshoot pipeline issues.
- Build and maintain data warehouse/lakehouse solutions.
- Collaborate with cross-functional teams and document technical solutions.
- Support best practices around data quality, governance and CI/CD.
Required Skills
- Strong experience with Databricks.
- Excellent Python and SQL skills.
- Good knowledge of Spark, PySpark, Delta Lake, Delta Live Tables, Unity Catalog and Medallion Architecture.
- Experience with Azure DevOps, Git and CI/CD.
- Strong understanding of data warehousing, star schema, fact & dimension modelling, SCD and CDC.
- Experience building data platforms for BI, reporting and analytics.
- Exposure to AI development tools such as Cursor is desirable.
Nice to Have
- Azure certifications (AZ-900, DP-900, DP-203, DP-500).
- Databricks Lakehouse Data Engineer certification.
- MSc in Data Science or a related field.
Senior Data Engineer in London employer: Careerwise Uk
Careerwise-UK is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to thrive in their roles while working flexibly from home. With a strong emphasis on professional development, the company provides ample opportunities for growth and advancement, making it an ideal place for those looking to make a meaningful impact in the field of product data and analytics.
