> Markdown version of [/jobs/ext/2311769-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/2311769-lead-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). --- # Lead Data Engineer - **Company:** La Fosse - **Location:** Greater London, UK - **Experience:** Expert - **Salary:** £169,000.0 - £195,000.0 - **Contract:** Temporary contract - **Skills:** Airflow, Amazon Web Services, Data Architecture, Data Infrastructure, Data Warehousing, Event-Driven Programming, SQL Databases, Snowflake, Apache Spark, Data Strategy, Core Data, Enterprise Integration, Data Management, Mulesoft - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815451268-lead-data-engineer ## About the Role * Strong Snowflake engineering and architecture experience * Background in banking or financial services data platforms * Experience working with core banking data * Demonstrated ability to build streaming ingestion and event driven pipelines * Comfortable leading end to end implementation on a greenfield platform * Strong stakeholder communication skills capable of shaping technical decisions and overall data strategy * Snowflake * Core Banking Platform * Integration Layer such as MuleSoft * Airflow, DBT, Spark * Medallion Architecture * AWS storage and hosting * SQL ## Description Outside IR35 | £650-750/day | 2-3 days on-site in London | Initial 6 months | ASAP start We're supporting a financial services organisation standing up an entirely new banking data function, building a modern core banking platform using Snowflake. This is a hands on technical leadership role responsible for architecting, designing, and building the full end to end data platform: ingestion, medallion layers, data warehouse stores, and downstream reporting. You'll be working across high volume financial data, streaming pipelines, and a modern cloud native stack. You'll own the delivery of scalable data foundations, medallion structured financial models, and operational reporting capabilities consumed across the business. You must be able to operate autonomously and bring deep experience in Snowflake and modern banking data architectures. You also must be available within the next 2 weeks and willing to go into a Central London office 2-3 days per week., * Architect and build all core data warehouse layers across Snowflake, including raw, staging, and curated financial domains * Ingest and model data from a core banking system * Integrate with an enterprise integration layer and manage streaming ingestion where Snowflake subscribes to event streams * Implement medallion architecture for financial datasets, ensuring accuracy, lineage, and auditability * Define data architecture standards, best practices, and governance across a greenfield platform * Act as the technical lead across the full data lifecycle including design, implementation, optimisation, and roll out ## Related Videos - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Why make use of an integration platform in today's software developments and infrastructure?](https://www.wearedevelopers.com/videos/758-why-make-use-of-an-integration-platform-in-today-s-software-developments-and-infrastructure) - [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) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)