Associate Data Engineer, GSK

$82-111k

+ Annual bonus + Eligibility to participate in our share based long term incentive program

SQL

AWS

Python

Scala

Java

Kafka

Airflow

Azure

Spark

Storm

Git

Entry and Junior level

San Francisco Bay Area

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

HealthcareArtificial IntelligenceBig dataMachine LearningCyber SecurityData IntegrationDevOpsCloud ComputingBiotechnology MedTech

Job no longer available

$82-111k

+ Annual bonus + Eligibility to participate in our share based long term incentive program

SQL

AWS

Python

Scala

Java

Kafka

Airflow

Azure

Spark

Storm

Git

Entry and Junior level

San Francisco Bay Area

2-5 days a week in office

1001+ employees

HealthcareArtificial IntelligenceBig dataMachine LearningCyber SecurityData IntegrationDevOpsCloud ComputingBiotechnology MedTech

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.

Job

Company

Role

Who you are

An Associate Data Engineer should have awareness of the most common tools (languages, libraries, etc) in the data space, such as Spark, Kafka, Storm, etc
They should be constantly seeking feedback and guidance to further develop their technical skills and expertise, and should take feedback well from all sources in the name of development
Bachelor’s degree in Data Engineering, Computer Science, Software Engineering or related field
Software engineering experience
Experience with writing data processing pipelines
Experience with choosing appropriate data structures for scale and access patterns

Desirable

Exposure to automated testing techniques
Exposure to database concepts and SQL and grasp of relational and analytical database management theory and practice
Knowledge and use of at least one common programming language (e.g., Python, Scala, Java), including toolchains for documentation and testing
Exposure to modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, …)
Exposure to common tools for data engineering (e.g. Spark, Kafka, Storm, …)
Nice to have experience in Big Data and NoSQL
Nice to have basic experience in cloud environments (AWS, Azure, GCP...)

What the job involves

The Associate Data Engineer is a technical contributor who can take a well-defined specification for a function, pipeline, service, or other sort of component, and a technical approach to building it, and deliver it at a high level with guidance
They are aware of, and adhere to, best practice for software development in general (and data engineering in particular), including code quality, documentation, DevOps practices, and testing
They ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows
Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, Airflow Composer)
Produces well-engineered software with guidance, including appropriate automated test suites and technical documentation
Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
Adhere to QMS framework and CI/CD best practices
Provide L3 support to existing tools / services / pipelines
Contribute to knowledge management activities and follow best practices

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

45% female employees

6% employee growth in 12 months

Glassdoor (4.1)

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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