Lead Data Engineer

La Fosse
Greater London, UK
3 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£169,000.0 - £195,000.0
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Data Architecture Data Infrastructure Data Warehousing Event-Driven Programming SQL Databases Snowflake Apache Spark Data Strategy Core Data Enterprise Integration
+2 more
Data Management Mulesoft

Job 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

Requirements

  • 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

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