Senior Analytics Engineer
LMN
CloudETLPythonSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
CloudPythonSQLTableau
About the role
- Design and scale LEAP’s enterprise data platform and semantic layer
- Build and maintain scalable, governed data models in dbt/Snowflake
- Develop and extend the universal semantic layer to ensure consistent, reusable metrics
- Structure high-quality, well-documented data assets for AI agents, predictive analytics, and self-service BI
- Optimise and manage data pipelines (Fivetran/dbt) for reliability, performance and incremental refresh
- Collaborate with BI Manager and Data & Insights Analysts to translate a unified KPI framework into governed data models
- Ensure data quality and trust through testing, monitoring, and documentation
Requirements
- Proficiency in SQL and modern data modelling (dbt preferred)
- Hands-on experience with Snowflake or other cloud data warehouses
- Familiarity with Fivetran or similar ELT tools
- Proven ability to design reusable, scalable data models
- Experience integrating multiple data sources (Salesforce, Zuora, product usage, financial systems)
- Experience with version control systems (Git preferred)
- Familiarity with CI/CD practices
- Proactive, detail-oriented, and able to balance speed with governance
- Exposure to BI/visualisation tools (Tableau, Power BI, or similar) — desirable
- Experience with Python for data processing or automation — desirable
- Interest in AI/ML integration — desirable
