Senior Data Engineer (DataOps / Platform Engineering)

Quick Facts

• Role: Senior Data Engineer (DataOps / Platform Engineering)

• Model: Remote-first

• Cooperation: B2B

• Compensation: 23,000–27,000 PLN/month (depending on experience and agreed scope)

Description

You will own the operational side of a cloud data platform: infrastructure, deployments, monitoring, and costs. Your work directly impacts reporting, dashboards, and AI tools by ensuring the platform runs reliably, securely, and cost-effectively.

Responsibilities

• Maintain and automate the cloud data platform (GCP, Databricks).

• Manage infrastructure as code with Terraform for GCP and Databricks.

• Build and maintain CI/CD pipelines in GitLab, including Databricks deployments with Asset Bundles.

• Maintain Docker images and runtime environments for Dagster and Airbyte, enabling zero-downtime upgrades.

• Own development and production environments and the release process.

• Set up observability: alerting, metrics, logs, and data freshness monitoring.

• Define SLOs for key pipelines; handle incidents; write runbooks and postmortems.

• Manage access, IAM, service principals, and secrets with least-privilege.

• Monitor and optimize cloud costs (FinOps) across GCP and Databricks.

• Support Hermes, an AI analytics environment (deployments, BigQuery datasets, monitoring/tracing in Langfuse).

• Support data lineage, cataloguing, and governance with DataHub.

• Work with Data Engineers and analysts to ensure reliable production pipelines, data availability/SLAs, and self-service access.

• Automate repetitive operational work and help retire legacy tools.

Requirements

• 3+ years of commercial experience with Python and SQL.

• Hands-on Terraform experience (Infrastructure as Code).

• Hands-on CI/CD and container experience (CI/CD pipelines, Docker, Bash).

• Hands-on cloud experience, preferably GCP (IAM, networking, cost management).

• Observability experience (monitoring, alerting, handling production incidents).

• Orchestration operations experience (Dagster or Airflow).

• Working knowledge of Databricks (jobs, clusters, workspace administration).

• Proficiency deploying and running production-grade applications.

• Very good communication skills across technical and non-technical stakeholders.

• Excellent team player.

• Fluency in Polish (C1+) and strong English command (B2+).

Benefits

• Remote-first collaboration model.

• International technology and product projects.

• Flexible project collaboration setup.

• Planned service breaks aligned with contract terms.

• Collaboration with experienced product and technology teams.

• Access to selected knowledge-sharing initiatives.