Staff Data Engineer

We're the world's leading consumer healthcare platform, supporting millions of patients across the US, Australia, the UK, Germany, Japan, Spain and Canada.

As a Staff Data Engineer, you will take responsibility for our most complex data platform work, owning the ingestion pipelines, streaming infrastructure and platform capabilities that Analytics Engineering, Data Science and business teams rely on every day.

Responsibilities

• Guide Platform Initiatives: Take ownership of high-complexity, multi-sprint initiatives, including CDC connector buildouts, BigQuery warehouse workstreams, event-streaming infrastructure, lower environments and adoption of shared standards.
• Build Dependable Ingestion: Design and maintain ingestion pipelines and platform infrastructure, from source connectivity through the raw and cleansed warehouse layers, that Analytics Engineering, Data Science and business teams rely on daily.
• Run Streaming Pipelines: Design and look after event-driven and streaming pipelines using Kafka (AWS MSK) and Flink on EKS, delivering CDC and user event tracking (UET) streams into BigQuery.
• Own CDC Ingestion: Take responsibility for change-data-capture pipelines from source systems into BigQuery end to end.
• Own Data Contracts: Take responsibility for raw-to-cleansed data contracts, schema governance and SLAs.
• Champion Data Quality: Ship pipelines with built-in quality checks.
• Strengthen System Reliability: Agree KPIs and SLOs, build monitoring and alerting as code.
• Empower Data Teams: Build platform capabilities that unblock Analytics Engineering, Data Science and ML roadmaps.
• Mentor & Share Standards: Mentor Senior Data Engineers through design reviews, code reviews and pairing.

Requirements

• Platform Engineering Depth: Highly experienced data engineer with 8+ years of experience.
• Initiative Ownership: Experience taking ownership of complex, multi-sprint technical initiatives.
• Reliability Mindset: Treat reliability as part of the design.
• Data Quality & Governance: Experience with data contracts, schema governance and tooling.
• Infrastructure as Code: Comfortable with Terraform and CI/CD patterns.
• Mentoring & Influence: Experience helping other engineers grow.
• Cross-Functional Collaboration: Ability to work well with Analytics Engineers, Data Scientists and other stakeholders.

Benefits

• Employee options programme
• Annual development budget
• Professional development leave
• Hybrid setup with flexible working
• Private health insurance
• Monthly wellness allowance
• 25 days of holiday
• Enhanced parental leave
• Work from anywhere 3 weeks a year