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

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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