Lead Data Engineer

La Fosse; Greater London; Hybrid; GBP 119,925 - 138,375; Full time

Job summary

La Fosse is seeking a Lead Data Engineer for an urgent contract role to support a financial services organization building a new banking data function using Snowflake. This hands-on technical leadership position involves architecting and designing the data platform, focusing on ingestion and reporting across high-volume financial data. Candidates must have strong experience in Snowflake and core banking data platforms, with a willingness to work on-site in London 2-3 days a week. The daily rate is between £650-750, outside IR35.

Qualifications

• Must have deep experience in Snowflake and modern banking data architectures.
• Experience working with core banking data is essential.
• Ability to lead end-to-end implementations on a greenfield platform.

Responsibilities

• Architect and build all core data warehouse layers across Snowflake.
• Ingest and model data from a core banking system.
• Define data architecture standards, best practices, and governance.

Skills

Strong Snowflake engineering and architecture experience

Background in banking or financial services data platforms

Experience building streaming ingestion and event-driven pipelines

Strong stakeholder communication skills

Tools

Snowflake

Core Banking Platform

MuleSoft

Airflow

DBT

Spark

AWS

SQL

Job description

Lead Data Engineer - Urgent Contract Role - (Snowflake + Core Banking)

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.

Key Responsibilities

• 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

Ideal Candidate

• 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