Senior Data Engineer (Snowflake)
Harvey Nash
London, UK
6 days ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£130,000.0
Working hours
Regular working hours
Job source
Tech stack
Adaptable Database Systems
Cluster Analysis
Profiling
Data Warehousing
Dimensional Modeling
Performance Tuning
Power BI
Sql Optimization
Snowflake
Data Lakehouse
Job description
- Design and enhance a Snowflake-based Data Lakehouse environment.
- Develop scalable data models and enterprise data warehouse solutions.
- Build and optimise dbt pipelines using best practice frameworks.
- Deliver business-critical reporting and dashboards through Power BI.
- Drive performance optimisation, governance, and data quality initiatives.
- Work directly with business stakeholders to translate requirements into technical solutions.
Requirements
- Financial Services, Trading, Capital Markets, or FinTech experience.
- Proven experience designing and delivering Data Warehouse or Lakehouse solutions on Snowflake.
- Advanced SQL and data modelling expertise, including dimensional modelling and star/snowflake schemas.
- Strong commercial experience with dbt
- Extensive Power BI experience
- Strong Snowflake optimisation experience, including warehouse sizing, clustering, query profiling, and cost management.
- Excellent stakeholder engagement and communication skills.
About the company
We’re supporting a fast-growing, FCA-regulated financial services organisation seeking a Senior Data Engineer to lead the evolution of its Snowflake-based Data Lakehouse platform. This is a hands-on contract role that will see you working across the full data life cycle, from architecture and ingestion through to modelling, governance, and business intelligence. You’ll play a key role in delivering data solutions that support trading, operational, and commercial decision-making across the business.
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