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We are hiring a Senior Analytics Engineer to take ownership of our curated, business ready data layer. This role sits between data engineering and analytics. Your mandate is clear. Transform staged data into trusted, well modelled datasets and semantic layers that directly support decision making across the business. This is not a pipeline heavy infrastructure role. It is about data modelling, data quality and analytical usability. You will own the Gold or Service layer and ensure what reaches Power BI is consistent, performant and genuinely trusted.
Job Responsibility:
Design, build and maintain scalable dimensional and analytical data models
Define and enforce data grain, keys and relationships
Own slowly changing dimensions, historisation strategies and conformed dimensions
Translate business requirements into clear, well documented and high performing models
Create and maintain a stable Gold layer suitable for Power BI and downstream analytics
Profile staged datasets to assess completeness, accuracy and consistency
Define and implement validation rules and data quality checks
Partner with upstream engineers to resolve issues at the right layer
Act as the gatekeeper for what is considered analytics ready data
Build and optimise datasets specifically for Power BI consumption
Ensure metrics are clearly defined, consistent and reusable
Reduce duplication and semantic drift across reports
Work closely with analysts to ensure models are intuitive and performant
Work closely with stakeholders across Finance, Commercial and Operations to clarify definitions, validate assumptions, sense check outputs, translate business questions into structured, modelled datasets
Requirements:
Deep SQL expertise, including complex transformations, window functions and performance tuning in a cloud environment
Proven experience designing analytical or data warehouse models
Strong dimensional modelling knowledge such as Kimball approaches, star schemas and aggregates
Experience working with BI tools, ideally Power BI
Hands on ownership of curated data layers used by the business
Strong understanding of data quality, profiling and validation techniques
Confident communicator, comfortable engaging senior stakeholders and non technical users
Nice to have:
Experience with Databricks or similar platforms
Familiarity with Delta Lake and lakehouse patterns
Python for analysis, profiling or orchestration logic
Exposure to Azure data services such as ADF or Azure SQL