Jobs / Fun***
Technical Lead, Data Platform Engineer
Fun*** · London, ENG, United Kingdom
London, ENG, United KingdomExp: 8+ yrsHybrid
Remuneration
Competitive salary plus benefits
Location
London, ENG, United Kingdom
Visa sponsorship
Sponsors visa
Job summary
Lead engineering direction and delivery for a shared data platform as it migrates to Snowflake and adopts a federated Data as a Product model. Own platform quality across Snowflake infrastructure and access controls, batch and streaming ingestion, Airflow orchestration, CI/CD, observability, security, governance, and operational practices. The platform serves data teams, analysts, data scientists, and AI agents, and the role includes mentoring engineers and leading migration cutover and legacy decommissioning.
Benefits
Tailored benefit allowancePrivate medical and dental insuranceHealth assessmentsDigital GP accessLife assuranceShare schemesFinancial coachingAnnual learning allowanceElectric car schemeCycle-to-work schemeSeason ticket loansParental leaveSubsidised lunchesBarista coffee
Qualifications
- At least 8 years of experience in Data & Analytics
- Proven experience as a Senior or Tech Lead setting architectural direction for engineers
- Deep hands-on Snowflake expertise, ideally including Iceberg or open table formats and RBAC
- Advanced SQL and Python skills and experience developing enterprise-grade dbt models
- Experience designing end-to-end batch, file-based, and streaming data pipelines
- Experience with Kafka or CDC and Airflow orchestration
- Understanding of data security, governance, PII handling, and access control
- Strong infrastructure-as-code and CI/CD skills
- Ability to document designs, explain technical risks, and make decisions under uncertainty
- Ability to architect safe, maintainable AI solutions and mentor others in building sophisticated AI systems
Responsibilities
- Set the data platform's technical direction and sequenced engineering plan
- Own Snowflake infrastructure, RBAC, ingestion patterns, Airflow orchestration, CI/CD, observability, and cost controls
- Make technical decisions, maintain decision records, and escalate cross-domain decisions
- Mentor engineers and establish effective review and knowledge-sharing practices
- Define reusable platform standards and patterns for domain teams, data scientists, analysts, and AI agents
- Lead platform work for the Athena-to-Snowflake migration, including source landing, reconciliation, cutover evidence, and legacy decommissioning
- Improve on-call practices, alert quality, incident follow-ups, runbooks, and disaster recovery
- Own platform security and governance controls with Security and Data Governance
- Manage technical relationships with platform vendors
- Explain technical trade-offs to non-technical stakeholders and data leadership
- Establish safe and consistent standards for AI-assisted engineering
Skills
AirflowAthenadbtKafkaMakePythonSnowflakeAWSCircleCIDatadogGitHub ActionsGitLab CIGrafanaIAMJenkinsOpen Policy AgentOpenTelemetryPagerDutyPrometheusSparkTerraformVault
Work schedule
Two days per week in the London office
Industry
Financial technologyData and analyticsSmall-business lending
Relocation
No