Senior Data Engineer (Databricks)

About the Role

We are looking for a Data Engineer to build and operate scalable data pipelines and data products on an Azure-based lakehouse platform. The ideal candidate combines strong technical expertise with a proactive, ownership-driven mindset.

Requirements

Must-Have

• Strong understanding of data warehousing, data modeling, lakehouse concepts, data formats, and security

• Excellent SQL skills

• Good Python skills

• Experience with Databricks

• Strong knowledge of Git, CI/CD, shell scripting, and software engineering best practices

Nice-to-Have

• dbt

• Spark Declarative Pipelines

• Power BI (semantic models and data modeling)

• Power Automate

• MQ

• Qlik Sense

Tech Stack

Azure, Azure DevOps, Databricks (Unity Catalog, Automation Bundles), dbt, PySpark, Power BI, Power Automate, MQ, Qlik Sense.

Soft Skills

Analytical mindset, proactive approach, independence, excellent communication skills, continuous improvement mindset, ownership, and willingness to take on new challenges.

What we offer

• B2B contract via Experis

• Opportunity to work with modern cloud and data technologies in an international environment

• Private healthcare (Medicover)

• Multisport card

• Group life insurance

• Access to an e-learning platform