Senior Data Engineer

Senior Data EngineerLocation: LondonEmployment Type: Permanent/HybridRole SummaryWe are building out our core analytics infrastructure to power trading, finance, risk, and operational intelligence across the business. We are looking for a Senior Data Engineer to take ownership of our cloud data platform, establishing a solid Snowflake Lakehouse ecosystem that brings together data from multiple internal platforms and external APIs.This is a key hire for an engineer who excels at building clean, resilient data platforms. You will handle everything from raw ingestion and dbt modeling to delivering optimized semantic layers for business-wide reporting.What You’ll DoData Platform & EngineeringTake full ownership of our Snowflake data environment, integrating structured and semi-structured datasets.Build and maintain scalable ETL/ELT pipelines pulling from trading systems, CRM platforms, risk engines, and financial databases.Design robust data models using medallion architecture principles (Bronze/Silver/Gold) to support both fast-paced analytics and strict regulatory needs.Implement best practices around data orchestration, automated testing, versioning, and lineage tracking.Semantic Layer & AnalyticsBuild high-performance semantic models on top of Snowflake using Power BI, DAX, calculation groups, and row/object-level security (RLS/OLS).Partner with business teams to deliver intuitive dashboards, operational reports, and clear data extracts.Performance & GovernanceKeep our data secure and compliant with FCA and GDPR guidelines.Keep close tabs on Snowflake performance, tuning queries, managing warehouse sizing, and controlling storage costs.CollaborationWork hand-in-hand with Trading, Finance, Marketing, Risk, and Compliance teams to map out business needs and build reliable technical solutions.What We’re Looking ForFinancial Services Background: Proven track record working within fintech, capital markets, trading, or broader financial services environments.Snowflake Expertise: Solid experience designing, managing, and optimizing Snowflake warehouses, including cost management, clustering, and query profile analysis.Modern Data Stack: 2+ years writing production-grade dbt models (snapshots, macros, testing frameworks, and exposures).Dimensional Modeling: Strong SQL foundation and expertise with star schemas, Snowflake schemas, and analytical data modeling.Power BI & DAX Mastery: 3+ years building enterprise Power BI semantic models over cloud warehouses. Hands-on experience with DAX (time intelligence, calculation groups), Power Query/M, Tabular Editor, and DAX Studio.Data Governance: Practical knowledge of handling sensitive financial data within regulatory frameworks (FCA, GDPR).Desirable SkillsScripting experience in Python.Familiarity with cloud infrastructure and DevOps tooling (AWS, Terraform, Git, GitHub Actions).Exposure to modern analytics patterns like Microsoft Fabric, Power BI Embedded, or Snowflake Cortex.