Lead Data Engineer

We’re working with a major financial services organisation undergoing a large-scale data transformation programme. They are looking for a hands-on Lead Data Engineer to help build and scale an enterprise data platform, working closely with senior architects and engineering teams to deliver modern data capabilities across a complex environment., * Lead the design and build of scalable data engineering solutions using Snowflake and dbt.

• Develop data ingestion frameworks supporting batch, incremental and CDC patterns.
• Build and optimise data pipelines across multiple source systems and platforms.
• Design and implement data models for analytics, reporting and operational use cases.
• Own CI/CD, automation and engineering best practice within the data platform.
• Implement data governance, quality controls, monitoring and operational processes.
• Mentor engineers and provide technical leadership across the delivery team.
• Partner with architects and stakeholders to translate designs into production-ready solutions.

• Proven experience as a Senior or Lead Data Engineer within complex enterprise environments.
• Strong hands-on knowledge of Snowflake platform engineering and optimisation.
• Extensive experience building dbt projects from the ground up.
• Strong SQL and data warehousing expertise.
• Experience designing CDC, ELT and metadata-driven ingestion frameworks.
• Solid understanding of CI/CD, Git and infrastructure as code practices.
• Python development experience for data engineering and automation.
• Experience leading engineering teams or technical workstreams.
• Financial Services or Banking experience is highly desirable., * Amazon Web Services (AWS)
• Cloud Services & Infrastructure
• Communication Skills
• Data Pipeline Development
• Data Warehousing
• ETL
• Microsoft Azure
• Python Programming
• SQL Databases
• Stakeholder Management