Azure Infrastructure & Data Engineer

Grade Level (for internal use): 09 The Role: Design, build, and operate secure, scalable Azure infrastructure that underpins application, data, and AI workloads alongside Design, build, and operate modern data platforms on Azure that enable analytics, reporting, and AI/ML workloads. This role is typically accountable for the Azure landing zone, networking, identity, security baseline, and reliability and will focus on data ingestion, transformation, modelling, and performance. Responsibilities include: Design and operate Azure landing zones aligned to CAF and enterprise governance standards Build and manage Azure networking (VNETs, peering, VPN/ExpressRoute, Private Endpoints, DNS) Implement and manage identity and access using Entra ID, RBAC, PIM, and Conditional Access Own compute and platform services (VMs, VMSS, AKS, App Service environments) Implement infrastructure as code using Bicep, ARM, Terraform, or similar Monitor and optimize availability, performance, and cost (Azure Monitor, Log Analytics, Cost Management) Partner with security teams on policy, compliance, and threat protection Support production workloads with clear SRE/operations discipline (patching, backup, DR) Design and implement end‑to‑end data pipelines on Azure Build and operate Azure data platforms (Fabric, Synapse, Data Factory, Data Lake, SQL, Cosmos DB) Ingest data from operational systems, SaaS platforms, and streaming sources Develop data models optimized for analytics and downstream consumption Ensure data quality, reliability, and performance at scale Implement security and governance (Purview, RBAC, data access controls) Partner with analytics, BI, and AI teams to enable insights and advanced use cases Optimize cost and performance across data workloads.

3+years hands‑on experience with Azure core infrastructure services Deep understanding of networking and security concepts in cloud environments Experience building and operating IaC‑driven platforms Familiarity with CAF, Well‑Architected Framework, and Zero Trust principles Experience supporting mission‑critical production systems Strong experience with Azure data services (Fabric or Synapse, ADF, ADLS, SQL) Solid SQL skills and experience with data transformation patterns Experience building batch and/or streaming pipelines Understanding of modern analytics architectures (lakehouse, data mesh concepts) Ability to support production data platforms Nice‑to‑have AKS platform engineering experience Azure Firewall, Application Gateway, or Front Door Azure Policy at scale Hybrid connectivity (on‑prem to Azure) Fabric end‑to‑end experience (OneLake, Lakehouse, Warehouse) Spark / PySpark experience Integration with AI/ML workloads Data governance tooling (Purview) #L1-RS2 What’s In It For You?

Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

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