Senior Data Platform Engineer
Core
Building cloud-native, metadata-driven data platforms and reusable components to standardize scientific data analysis and engineering for GSK's researchers.
Role type
Senior IC Data Platform Engineer
Builds
Production-grade data products, services, and infrastructure for biomedical data processing and analysis.
Domain
Biopharma / Scientific Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, public cloud providers (AWS, Azure, GCP), CI/CD, DevOps, data governance, API architecture, streaming processing, data stores, unit/integration testing
Preferred skills
ETL/ELT orchestration, data modeling and performance tuning, data quality practices, mentoring engineers
Technologies
Python, Spark, Nextflow, Kubernetes, gcloud, Azure CLI, Terraform (implied by IaC), logging/alerting tools
Responsibilities
Implement end-to-end solutions for data and scientific problems using appropriate languages and tools; leverage infrastructure as code and cloud Ops for delivery; write documentation and comprehensive tests for code and services; stay current with open-source developments in data engineering.
Seniority
Senior, hands-on IC with mentorship responsibilities
