Data Engineer
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Leonard CurtisGet Smart Job AI Coach in the appFree on iOS and Android 






Data Engineer
Location
Whitefield - Bury, United Kingdom
Experience
Mid
Posted
Jul 18, 2026
Apply by
August 17, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
We're currently seeking a Data Engineer to build, maintain, and optimise robust data pipelines. This role develops efficient ETL/ELT workflows using both Microsoft Fabric tools and the Databricks Lakehouse Platform to deliver clean, production-ready data for enterprise analytics.
### Responsibilities
• Construct scalable data ingestion pipelines using Fabric Data Factory, Dataflow Gen2, and Databricks Workflows.
• Implement Delta Live Tables (DLT) to automate batch and real-time streaming data processing.
• Build and maintain the Medallion Architecture silver & gold layer across shared storage.
• Write optimized transformations in Fabric Notebooks and Databricks clusters using PySpark and SQL.
• Configure data access, masking, and governance policies within Databricks Unity Catalog.
• Optimize Lakehouse table performance using Z-Order indexing, liquid clustering, and file compaction techniques.
• Deploy data pipelines using CI/CD frameworks, Git integration, and Databricks Asset Bundles (DABs).
• Prepare finalized gold layer datasets to support real-time Power BI Direct Lake reporting model
### Requirements
• Strong proficiency in PySpark, Databricks SQL, T-SQL, and handling Delta Lake formats.
• Hands-on experience building production pipelines inside Databricks workspaces and Fabric capacities.
• Practical knowledge of structural data formats including Parquet, JSON, and CSV.
• Experience with orchestration tools, scheduling dependencies, and error handling in a cloud environment.
• Familiarity with unit testing data pipelines and implementing automated data quality checks.
### Benefits
- Salary aligned with your skills and expertise
- Car allowance
- 27 days holiday allowance plus statutory public holidays and the option to purchase more
- Birthday leave
- Hybrid working
- Flexible benefit and well-being schemes
- 2 giving back days per year. We encourage our team to support the wider community by providing paid leave to work with local charities or good causes
- A hard working, fun and professional working environment
- Enhanced family friendly policies, including enhanced Maternity pay
Leonard Curtis is a market leading professional services provider operating across the UK and offshore. Since our formation we’ve supported business owners and advisors by listening and offering practical solutions and tailored advice. Our expert team of specialists deliver positive strategic advice across restructuring and insolvency, funding, legal, business services and M&A advisory across 30 offices. A career with Leonard Curtis will open the door to varied career pathways.
We have built an environment that empowers you to express yourself to have confidence in who you are and what you’re capable of and develop the career you want.
Learning and Development
Leonard Curtis has a wealth of resources available to help you develop your career from the moment you join. Activities range from on-line learning modules to external training and qualifications.
Diversity and Inclusion
Diversity is a core business imperative of the Group. We are an equal opportunities employer which promotes inclusiveness and always employ the best professional for the job. Having a diverse workforce allows the Group to draw upon a range of different ideas and experiences which supports our business’s growth and creates an environment where everyone has an equal opportunity for success.
Key Responsibilities
- Construct scalable data ingestion pipelines using Fabric Data Factory, Dataflow Gen2, and Databricks Workflows.
- Implement Delta Live Tables to automate batch and real-time streaming data processing.
- Build and maintain the Medallion Architecture silver and gold layers across shared storage.
- Write optimized transformations in Fabric Notebooks and Databricks clusters using PySpark and SQL.
- Configure data access, masking, and governance policies within Databricks Unity Catalog.
- Optimize Lakehouse table performance using Z-Order indexing, liquid clustering, and file compaction.
- Deploy data pipelines using CI/CD frameworks, Git integration, and Databricks Asset Bundles.
- Prepare finalized gold layer datasets to support real-time Power BI Direct Lake reporting.
Skills Required
PySparkDatabricks SQLT-SQLDelta LakeMicrosoft FabricDatabricks WorkspacesFabric Data FactoryDataflow Gen2Delta Live TablesMedallion ArchitectureParquetJSONCSVCI/CDGitDatabricks Asset BundlesPower BI Direct LakeProblem solvingAttention to detail
Benefits
- Salary aligned with skills and expertise
- Car allowance
- 27 days holiday allowance plus statutory public holidays
- Option to purchase additional holiday
- Birthday leave
- Hybrid working
- Flexible benefit and well-being schemes
- 2 giving back days per year
- Enhanced family friendly policies
- Enhanced Maternity pay
- Learning and development resources
- External training and qualifications
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