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Senior Cloud Engineer - Databricks, Python

Datamole · Software

Summary

This role involves building, maintaining, and scaling production systems in a cloud environment, with a focus on Databricks and Microsoft Azure. The position requires strong Python and SQL skills, experience with Infrastructure as Code and CI/CD pipelines, and a solid software engineering foundation.

Key facts

Status
Available
Location
Prague
Start date
Immediately
Level
Senior
Experience
5+ years
Languages (required)
  • English
Required skills
  • Databricks
  • Unity Catalog
  • Delta Lake
  • PySpark
  • Asset Bundles
  • Microsoft Azure
  • Storage
  • Key Vaults
  • networking
  • Azure SDK
  • Terraform
  • CI/CD pipelines
  • GitHub Actions
  • Python 3
  • SQL
  • Linux
  • edge computing
  • Rust
Benefits
  • healthy work-life balance
  • no crunch culture
Estimated salary (not official)
~85k–105k Kč/moRough estimate for a full-time role — not provided by the employer How is this calculated?

Full description

  • 5+ years of professional cloud, data, or software engineering experience, including delivering, maintaining, and scaling production systems in a cloud environment. Though we care much more about your engineering foundation and how quickly you pick up new concepts than the exact number of years on your CV.
  • Cloud & Data Platform Skills: Hands-on experience with Databricks (e.g., Unity Catalog, Delta Lake, PySpark, Asset Bundles) and Microsoft Azure (Storage, Key Vaults, networking, Azure SDK) - or strong experience with comparable cloud platforms and the drive to go deep into the Databricks ecosystem.
  • Infrastructure & Code: Practical experience with Infrastructure as Code (e.g., Terraform), CI/CD pipelines (e.g., GitHub Actions), and solid proficiency in Python 3 and SQL.
  • Engineering Foundation: A strong grasp of software engineering principles, automated testing, and the ability to independently solve complex engineering problems.
  • Curiosity Beyond the Cloud: An interest in how things work closer to the device side (Linux, edge computing), with a willingness to learn Rust in the future and potentially contribute to our device-side applications over time.
  • Communication & Culture: A collaborative mindset with a focus on open communication, trust, and shared responsibility. At Datamole, we deeply value fairness, long-term thinking, and a healthy work-life balance (no crunch culture). Professional working proficiency in English.
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