Databricks Engineer

Vincit; Helsinki; On-site; EUR 65,000 - 90,000; Full time

Job summary

Vincit in Helsinki seeks a Databricks Engineer to join a diverse customer portfolio. You’ll build data platforms and pipelines from source to lakehouse, collaborating with customers to design solutions and taking a lead in shaping the work.

You’ll work across advisory and hands-on delivery projects, using PySpark and SQL to implement ETL/ELT processes, Delta Lake lakehouse architectures, and ongoing monitoring and optimization of data pipelines to ensure reliable analytics.

Qualifications

• Experience designing and implementing data pipelines using PySpark and SQL
• Ability to shape data solutions in collaboration with customers
• Proactive leadership in driving development work across engagements

Responsibilities

• Building data pipelines – design and develop ETL/ELT with PySpark and SQL
• Building lakehouse architectures – plan and implement Delta Lake lakehouse solutions
• Monitoring and optimizing pipelines – ensure reliability and performance

Skills

PySpark

SQL

Delta Lake

Tools

Databricks

ETL/ELT

Delta Lake

Job description

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