Data Engineering Lead
On-siteLondon, England, United Kingdom
London, England, United KingdomOn-siteFull TimeSenior LevelEnterprise
Full TimeSenior LevelEnterprise
Job Summary
Architect and build the Snowflake data lake platform, designing ingestion, transformation, data models, and warehouse performance strategies for high-volume reinsurance data. Establish tagging, cataloguing, and governance frameworks covering lineage, access policies, and cross-border residency while implementing automated data quality controls and monitoring. Direct strategic delivery partners by reviewing designs and code, and set engineering standards for CI/CD, observability, and infrastructure-as-code. Mentor engineers to raise technical standards as the team scales within a greenfield environment.
Required Qualifications
- Proven track record in data engineering, including experience leading the delivery of a significant data platform end to end
- Deep, current, hands-on Snowflake expertise, having both built and architected across the platform and its surrounding ecosystem
- A strong track record establishing data governance in practice, covering tagging and classification, data catalogues, lineage, stewardship and access policies
- Practical experience implementing data quality frameworks, automated testing and monitoring, and driving measurable improvement
- Deep expertise in data modelling and warehouse design, with sound judgement on schema design, performance and cost at high volume
- Proven experience running data platforms at high volume, including partitioning and clustering strategies, storage tiering, and defining retention and archival approaches that satisfy long-term regulatory obligations without runaway cost
- Strong SQL and Python
- Practical experience of pipeline orchestration, ELT tooling, CI/CD (Azure DevOps or GitHub Actions) and infrastructure-as-code (Terraform/Bicep) on Azure
- Enough architectural depth to shape platform design and challenge it constructively
- Experience building to security and compliance requirements in regulated financial services
- Experience leading or quality-assuring work delivered by vendors and partners, including the ability to challenge designs constructively and enforce standards without direct authority
- Ability to lead engineers, influence stakeholders and explain technical trade-offs clearly to both technical and business audiences
Desired Qualifications
- Hands-on experience with Snowflake Cortex AI, or building AI and analytics use cases on data you have modelled yourself
- Familiarity with AI-assisted engineering tools such as Claude Code or Claude Cowork
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