Establish Standards: Define deployment patterns, build tooling, and set engineering standards that reduce technical debt and speed up future execution across the team.
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
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.
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
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
Planning & Execution: Oversee sprint planning, estimation, prioritization, and capacity management to ensure timely, high‑quality delivery aligned to business objectives.