Digital / Data & AI Engineer – Embedded AI & Digital Capability (Trading & Supply) Qualifications • Bachelor’s or Master’s degree in Computer Science, Engineering, Data, Information Systems, or related field • Relevant certifications (desirable, not mandatory): o Cloud, data, automation, or AI certifications o Agile delivery certifications (Scrum, SAFe, Kanban) • Experience level aligned to 8+ years with strong hands-on delivery exposure • Proven experience working close to business teams in fast paced environments

• Experience working in Commodities (or any) Trading domain

Role Purpose The Digital Engineer is an embedded technology specialist working directly within Trading & Supply teams to accelerate delivery of digital, automation, and AI solutions. The role focuses on: • Identifying and delivering high impact digital and AI opportunities close to the business • Translating business problems into scalable, production ready solutions • Raising decision making speed, reducing manual effort, and improving quality and control • Bridging business demand with IT delivery, architecture, and governance

Core Skills & Responsibilities A. Digital & AI Solution Delivery (Mandatory) • Design, build, and deliver digital, automation, and AI solutions from idea to production • Develop POCs, prototypes, and production grade solutions • Apply the right level of engineering (low code, scripting, data engineering, AI) based on problem complexity • Ensure solutions are secure, supportable, and compliant with risk and governance requirements

B. Opportunity Identification & Business Engagement • Work side by side with traders, contract advisors, and operations teams to identify digital opportunities • Observe day to day workflows to spot inefficiencies, risks, and automation potential • Translate business problems into clearly defined digital or AI use cases with measurable value • Act as a trusted partner embedded with the business, not a remote delivery role

C. Stakeholder & Governance Engagement • Act as a bridge between business teams, engineers, architects, security, and governance functions • Support risk assessment, compliance, and approval processes for digital and AI solutions • Communicate progress, value, and risks clearly to business and IT stakeholders • Ensure solutions follow Shell policies on data, security, AI, and regulatory compliance

D. Tools & Ways of Working • Experience working in Agile, iterative delivery environments • Hands on experience with some of the following (depth in a subset expected): o Data & analytics (e.g. SQL, Python, Databricks, cloud platforms-Azure) o Automation & low code tools (e.g. Power Automate, Power Apps) o AI / GenAI workflows (assistive AI, document automation, agents) o AI Foundry, Databricks Mosaic, MS Copilot Studio, Langchain, Langgraph

Good to Have Skills • Experience delivering automation or AI in operational, trading, or contract heavy environments • Strong problem framing and value articulation skills • Upskilling business users on digital tools and ways of working • Exposure to Trading & Supply, Commercial Operations, or similar complex domains • Experience working in embedded, federated, or hub and spoke capability models

• Comfortable balancing speed of delivery with safety, risk, and architectural discipline