Digital 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
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Location
Hybrid: 2 3 days per week from office
Role requires embedded presence with Trading & Supply teams
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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
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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 aligned to Shell target architecture
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
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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
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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
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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
Comfortable balancing speed of delivery with safety, risk, and architectural discipline
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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
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