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• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• Developing and elaborating functional concepts, including creating functional architectures
• Creating user stories and use cases to support development processes
• Visualizing functional concepts (e.g., sequence diagrams, activity diagrams)
• Creating, editing, and managing technical requirements

• Champion a strong culture of safety and security, ensuring it is embedded in every aspect of your work and delivery
• Design, develop, and enhance backend components and integrations that support Identity & Access Management (IAM) solutions within the Supply, Trading & Shipping domain

• Take technical ownership of the reliability, availability, performance and scalability of AWS-based integrations and services.
• Lead investigation and resolution of complex cross-system incidents, including issues spanning multiple applications, APIs, queues, events and external contractor platforms.

• High-performance simulation loops, autonomous behavior, and data-oriented design
• Improve system performance, proactively indetify technical debt
• Understanding and optimize complex dataflows
• Designing, improving, extending existing architecture
• Create technical specification based on business needs

Developing and continuously enhancing Continuous Auditing (CA) methodologies, including report-based and data-driven auditing approaches...

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to support successful contract delivery...

• Provide data-driven support to the Network Development team.
• Support strategic decision-making through data-driven insights and strengthen the company’s data-driven way of working.

• Own and govern the end-to-end Incident Management process in alignment with ITIL best practices and customer governance requirements.
• Lead Major Incident (P1/P2) bridge calls, coordinate resolver groups, technical teams, suppliers, and OEM vendors to restore services within agreed SLAs.

• Developing and steering product plans
• Leading teams to specify and prioritize the development of a product supported by business strategy, user and market research and knowledge of customers and competitors

• Developing and supporting backend applications
• Performing documentation and testing
• Connecting and integrating with external systems through APIs

• Producing high quality code for the full technological stack, from database to UI and everything in between
• Assisting with troubleshooting basic issues and improving application performance by responding to specific problems and fixing defects

• Owning and managing the product backlog
• Defining, refining, and prioritising user stories with clear acceptance criteria in close collaboration with the development team

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Building scalable solutions using Agile methodologies
• Working closely with client teams to co-create products

• Develop, own, and execute the product roadmap in alignment with Chapter and Digital Factory strategy and roadmap.
• Translate the product roadmap features into detailed product requirements, including features, user stories, and acceptance criteria.

• Joining experienced engineering teams and contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle with support from a mentor and the wider team

• Act as the escalation point and lead investigator for high-impact data exceptions, breaks, and reconciliations.
• Systematically trace end-to-end data lineage across multi-hop data pipelines (ingestion, staging, transformation, reporting layers) to isolate defect origins.

• Supporting clients in the digital transformation of complex infrastructure and large-scale projects
• Designing and further developing GIS solutions
• Migrating and harmonizing geospatial data
• Integrating different systems and data sources
• Developing modern GIS solutions for infrastructure projects

• Definition of System Context
• Definition of external interfaces
• Align system requirements with stakeholders and create system architecture design based on them
• Support technical feasibility evaluation of system requirements
• Align and document architecture drivers and goals with stakeholders

• Designing, building, and operationalizing artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes
• Assessing client needs and data