Databricks Engineer

Do you enjoy building data pipelines and platforms that just work?

We're looking for a Databricks Engineer to join Vincit and work across a diverse portfolio of customers.

In this role, you'll build data platforms and pipelines of various sizes, all the way from source to lakehouse. Solutions are designed together with the customer, and depending on the project your role can range from high-level steering to hands-on PySpark and SQL work. Requirements aren't always fully defined at the start, so you take the lead in shaping the solution and driving development work proactively.

What is the job like, really?

Our customer base and projects are broad and diverse, ranging from smaller customers with focused data needs to larger enterprises with complex data platforms. You'll work in both advisory-focused engagements and hands-on delivery projects where Vincit takes full responsibility for the solution.

Here's a snapshot of your key responsibilities:

☘️ Building data pipelines - designing and developing ETL/ELT processes with PySpark and SQL that move data reliably from source systems into Databricks

☘️ Building lakehouse architectures - planning and implementing Delta Lake and lakehouse solutions that support reliable, scalable analytics

☘️ Monitoring and optimizing pipelines - keeping an eye on pipeline performance and reliability, and improving them as the platform evolves

☘️ Managing platform and code quality - working with Asset Bundles, CI/CD, and Git to keep deployments and codebases in good shape

☘️ Supporting development teams and business users - working closely with fellow engineers and business stakeholders to keep data flowing smoothly

☘️ Driving projects proactively - taking the lead when the customer isn't yet sure what they need, and steering development in a sensible direction

What are we looking for? 🔍

You'll do well in this role if you enjoy solving practical technical problems and take ownership of what you build. You're comfortable