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Senior Data Engineer
Leila Ahmadi
Full-time · Senior · London
About the role
We are the data infrastructure function for a London-based asset management firm with £14 billion under management. Our data team of twelve is responsible for the pipelines that feed risk models, regulatory reporting systems, portfolio analytics tools, and the trading desk's decision-support platforms. The infrastructure must be reliable because the downstream consequences of a pipeline failure in our context are not a missed dashboard refresh — they are incorrect risk calculations, delayed regulatory filings, and potentially wrong trading decisions. We are looking for a Senior Data Engineer to take ownership of our most critical pipeline domain: the integration layer between third-party market data vendors and our internal data warehouse. You will be responsible for the reliability, accuracy, and governance of data flowing from Bloomberg, Refinitiv, and two proprietary alternative data vendors into Snowflake. You will document everything. You will not ship to production without a peer review, a written test plan, and a rollback procedure. If that level of engineering discipline is where you do your best work, this role fits.
Responsibilities
- Own the market data integration pipeline from five vendors into our Snowflake environment, including reliability SLAs
- Implement comprehensive dbt test coverage across all critical data models — target 100% on Tier-1 tables
- Produce and maintain data lineage documentation meeting internal and external audit requirements
- Mentor two mid-level data engineers through formal code review and structured weekly one-to-ones
- Lead pipeline incident response and produce written post-incident analysis within 48 hours
Requirements
- 6+ years of data engineering in a regulated or financial services environment
- Python for pipeline development, validation logic, and operational tooling
- Snowflake — complex query writing, data modelling at scale, cost optimisation, and access control design
- dbt — model design, test coverage standards, documentation, and multi-environment deployment workflows
- Airflow — DAG authoring, production monitoring, and systematic incident response
- Experience integrating financial market data vendors (Bloomberg, Refinitiv, or equivalent) is highly valued
- Strong data governance practice: lineage documentation, access logging, and audit trail design
Benefits
- Ownership of mission-critical infrastructure in a stable, well-resourced firm with long investment horizons
- Hybrid — 2 days per week in London (City), 3 days remote
- £90,000 – £115,000 base salary + 8% employer pension + annual performance bonus
- £2,000 annual professional development budget
- 28 days holiday plus all UK bank holidays
Job Type
Full-time
Level
Senior
Language
English
Salary Range
£90,000 – £115,000
AI Expertise
data science & analytics
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