Data Platform Engineer

• Own the infrastructure layer end-to-end, provisioning and managing development, staging, and production data environments using Infrastructure as Code
• Design and enforce IAM policies, role-based access controls, secrets rotation, and secure provisioning for external BI tools such as Looker and Tableau
• Configure GitLab runners and automated CI/CD pipelines for data workflows
• Maintain integrations across repositories, warehouses, orchestration frameworks, and analytics tools
• Implement observability frameworks, proactive alerting, and fast root-cause analysis across pipelines and infrastructure
• Audit resource utilisation, establish cost-allocation tagging, optimise spend, and maintain disaster recovery readiness
• Bridge Data Engineering, Core Infrastructure, and IT to unblock engineers and support secure delivery

• Solid, hands-on experience with Infrastructure as Code tools (Terraform, Pulumi, or equivalent) in a data or analytics platform context
• Proven depth in cloud IAM, secrets management, and security hardening across data platform environments
• Confident operating CI/CD pipelines, particularly GitLab, with experience tailoring them for data engineering workflows
• Familiarity with modern data stack integrations: cloud data warehouses (e.g. BigQuery, Snowflake, Redshift), orchestration tools, and BI platforms
• Experience implementing observability and monitoring solutions for data infrastructure
• Track record of cost governance, including auditing cloud spend, tagging resources, and making optimisation recommendations
• Experience supporting BI tool access provisioning (Looker, Tableau) or working as an internal developer advocate within a data team is nice to have