Retelligence
Senior Data Engineer
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Senior Data Engineer
Location: London
Employment Type: Permanent/Hybrid
Role Summary
We 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 Do
Data Platform & Engineering
- Take 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.
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Semantic Layer & Analytics
- Build 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 & Governance
- Keep 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.
Collaboration
- Work 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 For
- Financial 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).
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Desirable Skills
- Scripting 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.
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