Data Engineer - German speaker

Role Overview

We are looking for an experienced Senior Data Engineer with a strong focus on Databricks to design and implement robust data pipelines and modern data architectures in a cloud environment (Azure). The ideal candidate combines deep technical skills with a proactive, hands-on mindset and the ability to work independently while collaborating effectively with cross-functional teams.

Responsibilities

• Design and build reliable data pipelines using Databricks

• Model clean, reusable data products for analytics and machine learning

• Collaborate with data scientists, analysts, and platform teams

• Ensure data quality, lineage, and governance across the platform

Must-Have Skills

• Proven expertise in Databricks and Apache Spark (PySpark and SQL

• Deep knowledge of Delta Lake, Unity Catalog, and lakehouse architectures
• Strong background in data modeling (dimensional, relational, event-based)
• Experience designing and implementing scalable batch and streaming pipelines
• Solid understanding of data architecture principles and best practices
• Familiarity with Azure cloud services (ADLS, ADF, Event Hub, Key Vault, etc.)

• Proficient in Python and SQL for data processing and transformation

• Basic experience with Azure DevOps, Git, and Docker

• Jira and Confluence

Nice-to-Have Skills

• Understanding of CI/CD concepts and Infrastructure as Code (Terraform)
• Experience with streaming technologies
• Hands-on knowledge of data quality tools or frameworks

Soft Skills

• Ability to work autonomously, take ownership, and act proactively

• Solution-oriented, structured, and pragmatic approach to challenges

• Strong communication skills with both tech and business stakeholders

Location & Setup

• Remote or hybrid (depending on client/project)

• German and English, both are required

• Consulting/project experience is welcome