Data Engineer

GSK; Brentford; Presencial; GBP 65.000 - 90.000; Jornada completa

Descripción de la vacante

GSK is seeking a Data Engineer to provide technical leadership for how product and process information is structured and reused across digital products and manufacturing systems. The role focuses on modeling, integrating, and exposing data for downstream analytics, spanning R&D through commercial stages.

You will work with product teams, R&D partners, and manufacturing technology teams to define strategies for connecting data and systems, enabling reuse across platforms and improving data

Responsabilidades

• Set up and maintain CI/CD pipelines and integration flows moving digital product profile data between PDLM and other systems.
• Ensure pipeline, integration and mapping code is under version control, tested, and peer-reviewed before release.
• Use approved AI tools to improve productivity while complying with Responsible AI, privacy and security requirements.
• Own the design.

Conocimientos

Data modeling

CI/CD pipelines

Version control

AI tooling usage

Descripción del empleo

Data Engineer

Global Supply Chain Digital & Technology

At GSK, we unite science, technology and talent to get ahead of disease together. We are a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together. We’re proud to be leading a healthcare revolution, and we’re looking for people who can help us deliver on our ambition.

Role Overview

The Data Engineer provides technical leadership for how product and process information is structured, connected and reused across digital products and manufacturing systems, with a particular focus on the digital product profile. The role supports the transformation of product and process data from R&D through CMC into commercial by shaping how that data is modelled, integrated and exposed for use in downstream systems and analytics.

The job holder works with product teams, R&D partners and manufacturing technology teams to define practical strategies for connecting data and systems (including the use of ontologies, knowledge graphs, integrations and AI where appropriate), enabling more seamless reuse of product and process knowledge across platforms. They also help define and operate the technical foundations (data pipelines, integrations, environments and deployments) needed to run these digital and AI-enabled capabilities safely and at scale, and to demonstrate that product and process data is being reused across R&D, CMC and commercial systems with improved data quality and time-to-access.

In this role you will

• Set up and maintain CI/CD pipelines and integration flows that move digital product profile and related data between PDLM and other systems, using agreed branching strategies and automated checks.
• Ensure pipeline, integration and mapping code is kept under version control, automatically tested and peer-reviewed before release, so changes remain traceable, repeatable and supportable.
• Use approved AI tools in your day-to-day work to improve your own productivity and your team’s ways of working, sharing what works and applying sound judgement, including validating outputs and following GSK’s Responsible AI, privacy and security requirements.
• Own the design