> Markdown version of [/jobs/ext/2306396-snowflake-data-engineer](https://www.wearedevelopers.com/jobs/ext/2306396-snowflake-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Data Engineer - **Company:** Albany Beck - **Location:** Greater London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Sharing, Data Systems, Data Warehousing, DevOps, Meta-Data Management, Performance Tuning, Release Management, Power BI, Enterprise Data Management, Azure Data Factory, Snowflake, Star Schema, Data Management, Software Version Control, Data Pipelines - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2825802215-snowflake-data-engineer ## About the Role * Minimum 2+ years hands-on Snowflake engineering experience in a production environment. * Strong experience designing and building enterprise-scale Snowflake platforms. * Strong hands-on experience with: * Snowflake performance optimisation * Tasks and Streams * Secure Views * Data Sharing * Cost optimisation * Data governance implementation * Role-based access controls * Metadata management London Market Insurance * Minimum 5+ years London Market insurance experience. * Strong understanding of: * Premiums * Claims * UMRs * Lloyd's and Company market operations * Experience working with Underwriting, Claims and Finance stakeholders. * Experience building enterprise ETL/ELT pipelines. * Experience implementing data quality frameworks and reconciliation processes. * Experience with version control and DevOps practices. * Experience working within modern cloud data platforms. * Apply best practice modelling approaches including dimensional, star schema and Snowflake modelling techniques. ## Description We are seeking a highly experienced Senior Snowflake Data Engineer to support the delivery and expansion of an enterprise data platform. The individual will play a key role in designing, building and optimising Snowflake-based data solutions that support Underwriting, Claims, Finance, Portfolio Management and Delegated Authority reporting. The role requires a strong combination of hands-on Snowflake engineering expertise and deep London Market insurance knowledge to ensure business requirements are translated into scalable, trusted and well-governed data products. The successful candidate will work closely with Data Product, Analytics, Data Governance, Architecture and business stakeholders., * Design, develop and maintain scalable Snowflake data pipelines and ELT processes. * Develop and optimise Snowflake data models across Raw, Curated and Gold layers. * Implement reusable engineering patterns, frameworks and deployment processes. * Support platform scalability, performance tuning and cost optimisation. * Build and maintain automated data quality, reconciliation and monitoring capabilities. * Support historisation, snapshotting and auditability requirements across the platform. * Contribute to DevOps, CI/CD and release management processes for Snowflake deployments., * Integrate business data from core insurance platforms and external sources into Snowflake. * Develop ingestion and transformation processes using Azure Data Factory, Snowflake and associated tooling. * Support integration of submission, policy, premium, claims, bordereaux, delegated authority and finance datasets. * Assist with migration and reconciliation activities between the legacy on-premise data warehouse and Snowflake. * Implement enterprise data models aligned to underwriting, claims and finance requirements. * Develop conformed dimensions and reusable business entities. * Support semantic model requirements for Power BI and analytical consumption. * Apply best practice modelling approaches including dimensional, star schema and Snowflake modelling techniques. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)