Data Platform Engineer

About the role

B2Spin is looking for a Data Platform Engineer to own and evolve the core infrastructure that powers its Business Intelligence ecosystem. You will work in a fast‑moving, global team, ensuring that data pipelines, environments, and tooling are secure, observable, and scalable.

Key responsibilities

• Provision and manage development, staging, and production data environments using Infrastructure as Code (Terraform, Pulumi) to guarantee consistency.
• Design and enforce IAM policies, role‑based access controls, secrets rotation, and secure provisioning for external BI tools such as Looker and Tableau.
• Configure and maintain GitLab runners and CI/CD pipelines tailored for data engineering workflows.
• Implement observability frameworks that provide proactive alerts and fast root‑cause analysis across all data pipelines.
• Audit resource utilisation, apply cost‑allocation tagging, optimise spend, and ensure disaster‑recovery readiness.
• Act as the bridge between Data Engineering, Core Infrastructure, and IT to unblock engineers and accelerate delivery.

Required profile

• Hands‑on experience with Infrastructure as Code tools in a data or analytics context.
• Deep knowledge of cloud IAM, secrets management, and security hardening for data platforms.
• Proven ability to operate and customise CI/CD pipelines, especially GitLab, for data workloads.
• Familiarity with modern data‑stack components such as cloud warehouses (BigQuery, Snowflake, Redshift) and BI platforms.
• Experience building observability and monitoring solutions for data infrastructure.
• Track record of cost governance, tagging, and optimisation.

Required skills

• Terraform
• Pulumi
• Infrastructure as Code
• GitLab CI/CD
• Cloud IAM
• Secrets Management
• Security Hardening
• BigQuery
• Snowflake
• Redshift
• Looker
• Tableau
• Observability
• Monitoring
• Cost Governance
• Resource Tagging
• Disaster Recovery