Engineer - Technical SME, EHS & Sustainability
Posted Updated
Description
Job Summary
Responsibilities
Basic qualifications
Preferred qualifications
Skills
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
About the Team: Global Supply Chain is the backbone of GSK's internal operations in Digital Tech, enabling GSK Global Functions teams such as Finance, Procurement, HR, Legal, Compliance, WREF, CGA and Corporate Secretariat to run seamlessly. This team designs and delivers cutting-edge digital platforms that power critical processes, ensuring efficiency, compliance, and scalability across the enterprise.
Enterprise Systems Management Business Operations delivers digital solutions that support Enterprise Systems running as a high-performing organisation. This team drives financial discipline, operational rigour and strategic alignment across the ES portfolio that safeguard GSK's integrity and reputation globally. By joining this team, you'll help shape systems that support thousands of employees worldwide, driving innovation and reliability in the tools that keep GSK moving forward.
Job Purpose:
The Engineer - Technical SME, EHS Sustainability performs defined configuration, testing, documentation and technical support activities for Engineering, EHS and Sustainability central applications used on manufacturing sites globally. The role works within approved architecture, engineering standards, and documented procedures.
The job holder supports Engineers, Product teams, Service teams and site users by executing technical tasks, gathering diagnostic evidence and maintaining accurate specifications, configuration records, test evidence and knowledge content.
The role resolves routine technical issues within delegated authority and escalates complex design, operational, batch-impact or data-integrity concerns promptly to more senior technical roles.
Responsibilities
- Implement technical solutions (scripts ,SQL queries etc.) and configurations in accordance with approved architecture and product strategy.
- Support technical quality for the assigned scope, including specifications, design documentation, configuration records and technical validation evidence.
- Perform troubleshooting and root-cause analysis, with timely escalation where manufacturing batches, product quality, patient supply or data integrity may be affected.
- Support design and configuration of: interfaces, workflows, recipes, data models and environments.
- Analyse logs, metrics, monitoring and system behaviour to identify defects, performance issues and opportunities for improvement.
- Configure approved solutions using standard engineering procedures and detailed instructions.
- Support preparation and update of technical specifications, configuration documentation and validation records.
- Execute defined technical tests, capture evidence and record defects accurately.
- Review logs, alerts and monitoring information and gather evidence for investigation.
- Support deployment, migration, upgrade and environment activities.
- Maintain technical records, configuration inventories, runbooks and knowledge articles.
- Escalate technical risks and unresolved issues in line with documented criteria.
- Support site engineers and super users during implementation and operation.
- Configure, test and support AI-enabled solutions and integrations.
- Evaluate AI-generated outputs for accuracy, relevance and business usability.
Basic qualifications
- Bachelors or Masters degree in Engineering, Computer Science, Information Technology, Automation, Data, Life Sciences or a relevant technical discipline, or equivalent practical experience.
Preferred qualifications
- Strong analytical and structured problem-solving skills.
- Clear technical writing and disciplined maintenance of specifications, designs, test evidence and configuration records.
- Understanding of interfaces, workflows, data, environments, monitoring and operational support.
- Awareness of security, quality, validation, data integrity, resilience and change controls.
- Ability to collaborate across global business, site, engineering, architecture, product, service and supplier teams.
- Continuous-improvement mindset with emphasis on standardisation, reuse, automation and knowledge sharing.
- Attention to detail and disciplined adherence to approved procedures.
- Willingness to seek guidance where technical authority or risk thresholds are unclear.
- Understanding of Generative AI and Large Language Models (LLMs).
- Prompt engineering and AI output evaluation.
- Python and/or SQL for data analysis, testing and troubleshooting.
- API and system integration knowledge (REST, JSON).
- Understanding of responsible AI, data privacy and security principles
#AGTech
#GSK-LI
Skills
- Agile Methodology
- API Management
- CI/CD
- Cloud Based Services
- Configuration Management (CM)
- Containerization
- Infrastructure As Code (IaC)
- Microservices Architecture
- Python and/or SQL
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.