Data Platform Engineer, GSK
$116-156.9k
2-5 days a week in office
Building a cutting-edge digital and tech team.
Job no longer available
Building a cutting-edge digital and tech team.
1001+ employees
Job no longer available
$116-156.9k
2-5 days a week in office
1001+ employees
Company mission
At GSK, we use technology to deliver what matters most, better and faster. Whether it’s life-saving medicines or life-enhancing products, Tech at GSK helps scale and accelerate our expertise.
Role
Who you are
- Bachelor's degree with 5+ years' experience or Master's degree with 3+ years' experience in computer science with a focus in Data Engineering, DataOps, DevOps, MLOps, Software Engineering
- Experience with common distributed data tools in a production setting (Spark, Kafka, Hive, Presto, etc.)
- Experience with specialized data architecture (e.g., data lake, lake house, data fabric, data mesh, optimizing physical layout for access patterns)
- Experience with public cloud providers like AWS, Azure and GCP
- Experience with search / indexing systems (e.g., Elasticsearch)
Desirable
- Experience building and designing a DevOps first way of working
- Demonstrated excellence writing production Python, Java, Scala, Go, and/or C#/C++
- Practical experience with agile software development and DevOsps-forward ways of working
- Demonstrated experience building reusable components on top of the CNCF ecosystem including platforms like Kubernetes (or similar ecosystem)
- Metrics-first mindset
What the job involves
- Data Platform Engineers take full ownership of delivering high-performing, high-impact data platform as products, and services, from a description of a problem customer Data Engineers are trying to solve all the way through to final delivery (and ongoing monitoring and operations)
- They are standard bearers for software engineering and quality coding practices within the team and are expected to mentor more junior engineers; they may even coordinate the work of more junior engineers on a large project
- They devise useful metrics ensuring their services are meeting customer demand, having an impact, and iterate to deliver and improve on those metrics in an agile fashion
- The Data Platform team builds and manages reusable components and architectures designed to make it both fast and easy to build robust, scalable, production-grade data products and services in the challenging biomedical data space
- A Data Platform Engineer II is a technical individual contributor, building modern, cloud-native systems for standardizing and templatizing data engineering, such as:
- Standardized physical storage and search / indexing systems
- Schema management (data + metadata + versioning + provenance + governance)
- API semantics and ontology management
- Standard API architectures
- Kafka + standard streaming semantics
- Standard components for publishing data to file-based, relational, and other sorts of data stores
- Metadata systems
- Tooling for QA / evaluation etc
- A Data Platform Engineer II knows the metrics desired for their tools and services and iterates to deliver and improve on those metrics in an agile fashion
- Given a well-specified data framework problem, implement end-to-end solutions using appropriate programming languages (e.g., python, Scala, or go), open-source tools (e.g., Spark, Elasticsearch, ...), and cloud vendor-provided tools (e.g., Amazon S3)
- Leverage tools provided by Tech (e.g., infrastructure as code, cloud Ops, DevOps, logging / alerting) in delivery of solutions
- Write proper documentation in code as well as in wikis/other documentation systems
- Write fantastic 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
Our take
GSK Tech is set to build a suite of next-generation platforms for data- and prediction-driven drug discovery in support of GSK's Research and AI/ML organizations, and an industry-leading data engineering function in support of AI/ML and Genomic Sciences.
GSK’s ambitions go far past the data lake: they’re building a comprehensive data and machine learning ecosystem that can speak to the customers in their own scientific and technical language and semantics. Enabled by GSK Knowledge Graph, powered by machine learning, and underpinned by natural language processing, GSK's vision is for accessibility to data (and, importantly, the knowledge it represents). GSK wants to increase this tenfold, taking mere moments to find, access, and integrate the right information.
The creation of GSK Tech shows GSK's commitment to making a major investment in changing how we think about data in the research space, and levelling up the data experience for GSK's researchers, scientists, computational scientists, AI/ML Engineers, and ultimately decision-makers. As of 2024, GSK is putting more energy into its Cyber Security features, thus widening its market reach.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- An annual bonus based on company performance
- Access to healthcare and wellbeing programmes, pension plan membership, savings programmes, time off and childcare support
- Employee recognition programmes which reward exceptional achievements
- Long term incentives through share ownership link your rewards to our longer term performance
- Coaching, mentoring and formal training programmes
- Plenty of opportunities for open conversations with people who can help to shape your career
- A range of health and wellbeing programmes and support services to help employees understand how to feel healthier, happier and more energised at work and at home
Company HQ
Brentford, UK
Leadership
Luke Miels
(CEO)Luke became CEO on Jan 1, 2026, after serving as CEO designate since Sept 2025. He joined GSK in 2017 as Chief Commercial Officer, responsible for our commercial portfolio of medicines and vaccines.
Shobie Ramakrishnan
(Chief Digital and Technology Officer)Has a broad experience in biotech and hi-tech companies. Has led Digital and Technology for GSK’s Global Commercial organisation, transforming the company’s capabilities in digital, data & analytics.
Michael Elmore
(SVP & Global Chief Information Security Officer)Experienced in building and leading tech teams across cyber security, IT infrastructure, application development, and more. A trusted advisor to VCs and startups focusing on cybersecurity advancements.
Shubha Chaudhari
(SVP, Development Digital & Tech)Previously worked at Novartis in several roles, including Head of Clinical Informatics, Global Head of Development Informatics, and Head of Digital Transformation.
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