Coordinate across business, data, technology and operations teams to ensure requirements, data dependencies, development, testing and implementation activities remain aligned.
Network Telemetry Fabric: Engineer high-throughput pipelines for gNMI streaming, IPFIX, and CDR/xDR feeds, normalizing multi-vendor 4G/5G SA and XGS-PON data into a common model.
8+ years of hands-on experience in data warehousing, analytics and enterprise data modelling. Strong expertise in dimensional modelling including star/snowflake schema, fact/dimension tables and SCD, plus conceptual, logical and physical data modelling.
Ability to apply RAI and risk assessment principles, assess policy compliance, document evidence and residual risks, and manage governance submissions and follow-up actions.
Develop analytical workflows for ecosystem extent and condition accounts, biodiversity metrics and indicators aligned with SEEA EA, TNFD and related frameworks.
What you should bring: You have a solid background in data centre design, engineering, infrastructure strategy or capacity planning, ideally across more than one site or country. You understand data centre mechanical and electrical systems well, including UPS, PDUs, CRAC/AHU units, cooling capacity, containment and three-phase power distribution. You are also comfortable on the network side. You can read switch configurations, count ports and follow spine-leaf and pod-based designs well enough to challenge them. You have built business cases and cost models and presented them to senior stakeholders. You have negotiated with colocation providers, landlords, consultants and vendors.
Develop analytical workflows for ecosystem extent and condition accounts, biodiversity metrics and indicators aligned with SEEA EA, TNFD and related frameworks.
Strengthen client partnerships by fully understanding their business, organisational structure and culture, and proactively responding to their requirements and market changes.
We are seeking a AI & Data Engineer to join the AM CoE's Market Intelligence team. The AI & Data Engineer will design, build, and maintain AI and data tools that support the team's research and analysis, help automate the production of intelligence deliverables, and power AI features on the team's digital platform. The role works closely with technical experts to ensure outputs are accurate and reliable.