Senior Cloud Engineer (Databricks, Python)

Quick Facts

Senior Cloud Engineer (Databricks, Python) within a Data Engineering team, focused on evolving a Databricks platform on Azure. Hands-on platform development plus Python cloud applications and data pipelines for ML workloads.

Description

You will build and automate the Databricks/Azure environment using Infrastructure as Code, help teams adopt the platform, and contribute to modern data pipelines and cloud applications in Python.

Responsibilities

• Hands-on platform development: build, automate, and evolve the Databricks and Azure environment using Infrastructure as Code.
• Scout and test new technologies, track the Databricks roadmap, and resolve technical debt.
• Drive platform adoption by translating team needs into practical guidelines and platform improvements.
• Design and build Python cloud applications and data pipelines for industrial process optimization and ML workloads at scale.
• Integrate agentic AI coding tools into daily workflows while maintaining strict ownership of technical decisions and software quality.
• Participate in code reviews and share knowledge across the team.

Requirements

• 5+ years of professional cloud, data, or software engineering experience delivering and scaling production systems.
• Hands-on Databricks experience: Unity Catalog, Delta Lake, PySpark, Asset Bundles.
• Hands-on Microsoft Azure experience: Storage, Key Vaults, networking, Azure SDK (or comparable cloud platform experience).
• Infrastructure as Code experience (e.g., Terraform).
• CI/CD experience (e.g., GitHub Actions).
• Proficiency in Python 3 and SQL.
• Strong software engineering foundation, automated testing, and independent troubleshooting.
• Curiosity about device-side/edge concepts (Linux) and willingness to learn Rust.
• Collaborative communication in English.

Nice to Have

• Modern Python web frameworks such as FastAPI and data libraries like Polars.
• Familiarity with ML and AI concepts.
• Observability/monitoring tools such as OpenTelemetry, Prometheus, and Grafana.

Benefits

• Friendly culture with flexible working hours and healthy work-life balance.
• 6 weeks of vacation and 5 sick days.
• Online therapy sessions, plus perks such as snacks, premium tea and coffee, curated library, knowledge-sharing sessions, language lessons, showers, and fresh towels.