Data Platform Engineer: Scale Secure Data Infra

B2Spin Limited

Poland

On-site

PLN 240,000 - 360,000

Full time

4 days ago
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Job summary

B2Spin is seeking a Platform Engineer to own the foundational infrastructure powering our data team’s pipelines. You will design, implement, and maintain secure, scalable data environments and tooling to support data engineers in delivering insights efficiently.

You'll focus on IAM, secrets management, observability, and cost governance while collaborating across Data Engineering, Core Infrastructure, and IT to keep platforms reliable and cost-effective.

Qualifications

  • Hands-on IaC experience in data/analytics platforms.
  • Strong knowledge of cloud IAM, secrets management, and security hardening.
  • CI/CD proficiency, esp. GitLab, for data engineering workflows.
  • Familiarity with cloud data warehouses (BigQuery, Snowflake, Redshift).
  • Experience with observability and monitoring for data infra.
  • Track record of cost governance and resource tagging.

Responsibilities

  • Own the infrastructure layer end-to-end across dev, staging, and production data environments using IaC.
  • Design and enforce IAM policies, secret rotation, and secure provisioning for BI tools like Looker/Tableau.
  • Run and evolve the data CI/CD toolchain; configure GitLab runners and pipelines for data workflows.
  • Implement observability frameworks for proactive alerting and root-cause analysis across pipelines.
  • Audit resource utilisation, cost-allocation tagging, and disaster recovery readiness.
  • Bridge between Data Engineering, Core Infrastructure, and IT to unblock engineers.

Skills

Infrastructure as Code
Cloud IAM & Secrets
CI/CD pipelines
Data stack integrations
Observability & Monitoring
Cost governance
BI tool access provisioning

Tools

Terraform
Pulumi

Job description

B2Spin is seeking a Platform Engineer to own the foundational infrastructure powering our data team’s pipelines. You will design, implement, and maintain secure, scalable data environments and tooling to support data engineers in delivering insights efficiently.

You'll focus on IAM, secrets management, observability, and cost governance while collaborating across Data Engineering, Core Infrastructure, and IT to keep platforms reliable and cost-effective.

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