Databricks Data Engineer
Job Description
Databricks Data Engineer
If you’re a Databricks Data Engineer who enjoys building platforms that actually run in production and not just designing them; this is where it gets interesting.
Work hands-on with modern data platforms, solve real-world challenges, and build scalable Databricks solutions that make a real impact.
Does this sound like you?
Databricks is at the core of modern data engineering and so are we.
You’re a builder at heart. You enjoy turning data platforms into something that actually works in production and continuously improving what’s already there.
As a Databricks Data Engineer at Xebia, you work hands-on with modern data platforms, helping clients design, build, and scale Databricks solutions that support real business use cases. You understand what it takes to run data platforms in production; thinking about structure, scalability, and reliability from the start, not as an afterthought.
You’re comfortable working in existing environments. Not every client starts with a clean slate, and you know how to step into existing platforms, ask the right questions, and bring clarity and structure where it’s needed.
What you’ll do
As a Databricks Data Engineer, you will:
Design and build scalable data platforms using Databricks
Develop data pipelines using Spark (PySpark / Scala)
Apply the Databricks ecosystem in a way that actually works in production
Work with cloud platforms like Azure, AWS or GCP
You write code that holds up in production (Python, SQL)
Collaborate directly with clients on high-impact projects
Contribute to our internal knowledge sharing and community