Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system
Run a digital requirements engineering toolchain rather than documents-in-a-folder: requirements held in a managed repository with change control, baselines, and query-able trace links (e.g. Jama Connect, Polarion, DOORS or an equivalent the organisation standardises on.
What's needed: 5+ years in a technical problem-solving role with strong software and systems design fundamentals. You should be comfortable scoping ambiguous problems alongside sales, product, or delivery teams, and genuinely enjoy sitting in the room with a customer and driving toward a decision rather than waiting for a polished brief. Experience working across multiple systems, integrations, and data flows is essential, along with real curiosity about making AI agents work reliably in production — not just in a demo.
Collaborate with business stakeholders, data scientists and data analysts to align logics of key metrics, and to ensure code logics correctly reflect latest business definitions