# Data Engineer

**Company**: GSK
**Location**: London, New Oxford Street
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/UK--London--New-Oxford-Street/Data-Engineer_448984-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2377352a-f82

## Description

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.

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.

- Ensure pipeline, integration and mapping code is kept under version control, automatically tested and peer-reviewed before release.

- Use approved AI tools to improve productivity and team working.

- Own the design of data and integration services within enterprise architecture guardrails.

- Define environment promotion flows for data and integration services.

- Support releases and integrations end-to-end.

- Work with R&D and central ontology teams to implement and operate data and metadata structures.

- Collaborate with AI and analytics teams to provision data pipelines and integrations.

- Design and support integration patterns between PDLM and key downstream systems.

- Make practical use of AI-assisted development and validate outputs.

- Monitor and troubleshoot data pipelines and related services.

- Document data flows, integration contracts and deployment patterns.

- Coach engineers and analysts working on digital product profile and data integration work.

- Define and maintain data and integration engineering standards.

- Drive continuous improvement in reliability, observability, performance and security.

Basic Qualifications:

- Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering or a related discipline.

- Significant experience in data engineering, integration engineering, DevOps or similar roles.

- Experience designing and delivering data and integration solutions that span R&D, CMC and/or manufacturing domains.

- Experience working with ontologies, controlled vocabularies or knowledge-graph technologies.

- Experience enabling AI/ML or advanced analytics through well-designed data sets.

- Practical use of AI-assisted development and validation.

- Experience integrating or working with manufacturing, lab or quality systems.

- Experience working with DevOps or platform teams to deploy and operate data and integration services.

Preferred Skills:

- Relevant cloud, DevOps, security, source-control or agile certifications.

- Strong analytical and troubleshooting skills.

- Ability to explain data and ontology concepts in simple terms.

- Clear technical writing and documentation discipline.

- Understanding of secure configuration and audit traceability.

- Ability to collaborate across global teams.

- Continuous-improvement mindset focused on automation and reuse.

- Proficiency in at least one programming language and practical SQL skills.

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## Skills

### Required
- Python
- Java
- SQL
- CI/CD
- Cloud Based Services
- API Management
- Database Management
- Microservices Architecture
- Network Security
- Operating Systems

### Nice to have
- Agile Methodology
- Containerization
- Infrastructure As Code
- DevOps
- Security certifications

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Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/UK--London--New-Oxford-Street/Data-Engineer_448984-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)