Data Engineer
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Job Description
Data Engineer building Microsoft Fabric pipelines, warehouses and semantic models for Nucleus retirement platforms. Supporting regulated financial reporting, analytics and AI capabilities.
Responsibilities:
- Build and maintain Microsoft Fabric data pipelines and notebooks sourcing data over SFTP, APIs and gateway database connections
- Land source data in the Fabric Lakehouse and load it into the persistent staging layer of the Fabric Data Warehouse
- Write and optimise SQL stored procedures to transform staged data into curated dimensional models
- Develop Fabric semantic models, DAX measures, Power BI reports and paginated reports
- Apply documented architecture, naming conventions and re-runnability standards
- Test pipelines end to end in isolated feature workspaces and validate row counts, key values, logging and downstream impact
- Conduct peer reviews of Azure DevOps pull requests
- Support daily ETL operations by checking overnight runs, investigating failures and applying recovery procedures
- Follow feature-branch, feature-workspace and regulatory change-control approval processes
- Document transformation logic, data mappings and known edge cases for each pipeline
- Collaborate with finance, operations, risk and platform business colleagues on data needs and interpretation
- Participate in Agile planning, backlog refinement and retrospectives
Requirements:
- Strong SQL skills, including writing and optimising stored procedures against SQL Server, Azure SQL or Fabric
- Practical experience building, troubleshooting and maintaining ETL processes and data pipelines in Microsoft Fabric, Azure Data Factory, Synapse or Databricks
- Solid grounding in data warehousing concepts, including star schemas, fact grain, surrogate keys and slowly changing dimensions
- Experience building semantic models, writing DAX measures, and developing Power BI reports or dashboards
- Working knowledge of Python for file parsing and automation, ideally within notebooks
- Comfortable with Git branching, pull requests and code review, ideally in Azure DevOps
- Methodical approach to validating work, including reconciling to source and checking downstream impact
- Ability to trace data issues through data layers to their cause
- Able to explain technical detail to non-technical colleagues and clarify incomplete requirements
- Hands-on Microsoft Fabric experience is desirable; DP-700 certification is welcome but not required
- Experience in formal change control and regulated environments is desirable
- Exposure to financial services data such as holdings, transactions, flows and charges is desirable
- Experience designing or operating source-to-warehouse reconciliation and validation controls is desirable
Benefits:
- Non-contributory pension
- Bonus
- Enhanced parental leave
- Paid time off for emergencies
- Health and wellbeing initiatives
- Flexible working options
- Reward for efforts
- Social responsibility and inclusion-focused workplace culture
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