At a Glance
- Tasks: Design and build a semantic layer for natural language querying across enterprise data sources.
- Company: Join a leading company in the pharmaceutical and life sciences sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with hands-on delivery and excellent career advancement potential.
- Why this job: Make an impact by enabling data accessibility and insights in healthcare.
- Qualifications: Strong experience with dbt, SQL, and Snowflake; knowledge of semantic layer architecture.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
We are looking for an experienced dbt Metric Flow and dbt Cloud specialist to design and build a governed semantic layer that enables natural language querying across multiple enterprise data sources hosted in Snowflake.
This is a hands-on delivery role where you will own the semantic layer implementation from architecture through to production deployment, delivering a fully tested and documented solution ready for handover.
Key Responsibilities
- Design and develop dbt Metric Flow semantic models, including entities, dimensions, measures and business metrics.
- Build ingestion pipelines for multiple external data sources into Snowflake.
- Deploy and manage the semantic layer within dbt Cloud.
- Configure and support the Semantic Layer API.
- Implement role-based access control and integrate metadata management.
- Configure and integrate the dbt MCP server with the deployed semantic layer.
- Develop a lightweight natural language query interface once the semantic layer has been validated.
- Review existing Power BI and Tableau dashboards and migrate business logic into the governed semantic layer.
- Produce clear technical documentation and handover materials.
- Required Skills & Experience
- Strong commercial experience with dbt Core and dbt Cloud.
- Hands-on experience implementing dbt Metric Flow.
- Strong understanding of semantic layer architecture.
- Advanced SQL.
- Extensive Snowflake experience.
- Strong dimensional data modelling skills.
- Experience deploying and managing the dbt Cloud Semantic Layer.
- Experience integrating REST APIs.
- React (or similar Front End framework) experience.
- Experience working with modern data engineering practices and cloud platforms.
- Previous experience working within the pharmaceutical, life sciences or healthcare industry is essential.
Desirable Experience
- Migrating Power BI DAX calculations or Tableau calculated fields into a semantic or metrics layer.
- Experience with Snowflake Cortex Analyst or Snowflake Semantic Views.
- Building data ingestion pipelines using REST or XML APIs.
- Experience with metadata management solutions.
- Experience within healthcare, pharmaceutical or life sciences data environments.
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We think this is how you could land dbt MetricFlow and dbt Cloud specialist
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We think you need these skills to ace dbt MetricFlow and dbt Cloud specialist
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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