UK Market • Multi-layered Smart analysis • Updated April 2026
Data Modelling (Dimensional & Advanced) — 78% demand vs 30% supply (48-point gap)
Deep data modelling expertise (Kimball, Data Vault, activity schema) is requested in the vast majority of analytics engineer roles, yet many candidates come from analyst backgrounds with limited formal modelling experience. This is the single largest skills gap in the role and a major differentiator in hiring.
dbt (Advanced — packages, macros, testing frameworks) — 82% demand vs 40% supply (42-point gap)
While many candidates list dbt on their CV, employers increasingly require advanced proficiency — custom macros, package development, sophisticated testing with dbt-expectations, and CI/CD integration. The gap between basic and production-grade dbt skills is significant.
Snowflake (Performance Tuning & Cost Optimisation) — 60% demand vs 28% supply (32-point gap)
Snowflake is the dominant warehouse in analytics engineering roles, but employers increasingly need candidates who go beyond basic querying to warehouse cost optimisation, clustering strategies, and performance tuning — skills that are undersupplied relative to demand.
Data Quality & Testing Frameworks — 38% demand vs 12% supply (26-point gap)
As data reliability engineering gains traction, employers want analytics engineers who can implement comprehensive data quality testing (Great Expectations, dbt tests, elementary, Soda). Very few candidates have hands-on experience building robust data quality frameworks.
Data Contracts & Data Mesh Principles — 12% demand vs 3% supply (9-point gap)
Forward-thinking organisations adopting data mesh architectures need analytics engineers who understand data contracts, domain ownership, and decentralised data product thinking. This is nascent but growing fast, and almost no candidates have practical experience.
The most sought-after skills for Analytics Engineer roles in the UK include SQL, dbt (data build tool), Python, Data Modelling, Data Warehousing Concepts. These are classified as essential by the majority of employers.
The median Analytics Engineer salary in the UK is £60,000, with a typical range of £42,000 to £85,000 depending on experience and location. In London, the median rises to £72,000 reflecting the capital's cost-of-living weighting.
Freelance and contract Analytics Engineer day rates in the UK typically range from £375 to £700 per day, with a median of £500/day. London-based contractors can expect around £600/day.
The top skills gaps in the Analytics Engineer market are Data Modelling (Dimensional & Advanced), dbt (Advanced — packages, macros, testing frameworks), Snowflake (Performance Tuning & Cost Optimisation), Data Quality & Testing Frameworks, Data Contracts & Data Mesh Principles. The largest is Data Modelling (Dimensional & Advanced) with 78% employer demand but only 30% of professionals listing it. Deep data modelling expertise (Kimball, Data Vault, activity schema) is requested in the vast majority of analytics engineer roles, yet many candidates come from analyst backgrounds with limited formal modelling experience. This is the single largest skills gap in the role and a major differentiator in hiring.
Emerging skills for Analytics Engineer roles include dbt Mesh / dbt Semantic Layer, Metrics Layer / Headless BI, Data Contracts, LLM/AI Integration in Data Pipelines, SQLMesh. These are increasingly appearing in job postings and represent future demand.
See how your skills compare to what employers want — personalised results in 30 seconds.
Analyse My Skills →