Senior Data Platform Engineer

Purpose of Onyx The Onyx Research Data Tech organization is GSK’s research data ecosystem that brings together, analyzes, and powers the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need them, to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next‑generation, metadata‑ and automation‑driven data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on data mechanics Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent Aggressively engineering our data at scale as one unified asset to unlock the value of our unique collection of data and predictions in real‑time We are looking for a skilled and experienced Senior Data Platform Engineer to join our growing team. You will take full ownership of delivering high‑performing, high‑impact data platforms and services, from problem definition through to delivery and ongoing monitoring. Key Responsibilities Given a well‑specified data and scientific problem, implement end‑to‑end solutions using appropriate programming languages (e.g. Python, R, bash), open‑source tools (e.g. Spark, Nextflow, k8s), and cloud vendor‑provided tools (e.g. gcloud CLI, Azure). Leverage tools provided by Tech (e.g. infrastructure as code, cloudOps, DevOps, logging/alerting) in the delivery of solutions. Write proper documentation in code as well as in wikis and other documentation systems. Write high‑quality code along with proper unit, functional, and integration tests for code and services to ensure quality. Stay up‑to‑date with developments in the open‑source community around data engineering, data science, and similar tooling. Basic Qualifications Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience with 8+ years of work experience. Proficiency with the Python programming language. Experience with public cloud providers such as AWS, Azure, and GCP. Experience with agile software development and DevOps‑forward ways of working. Preferred Qualifications Advanced degree. Experience building data pipelines with ETL/ELT tools and orchestration frameworks. Knowledge of data modeling, partitioning, and performance tuning for analytical workloads. Knowledge of data governance, access controls, and data quality practices. Prior experience mentoring engineers and collaborating with cross‑functional product teams. Benefits Benefits include health care and other insurance benefits for employee and family, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. The position also offers an annual bonus and eligibility to participate in share‑based long‑term incentive programs. EEO Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service, or any basis prohibited under federal, state, or local law. #J-18808-Ljbffr GSK LLP