Data Engineer (all genders)

What you'll do

• Design, build, and maintain reliable and scalable data pipelines to support analytics, reporting, and future ML use cases
• Contribute to our modern cloud-based data platform in Azure and Databricks
• Collaborate closely with Data Analysts and Data Scientists to co-create data products
• Support and contribute to our internal data platform alongside our Data Platform Engineer
• Continuously improve data quality, documentation, and performance
• Champion best practices in DataOps: CI/CD, monitoring, alerting, testing, and infrastructure-as-code

Ihr Profil:

What you'll need

• 7+ years of experience in data engineering, ideally with some hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic)
• Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems

• Expertise in Scala or Python with strong SQL skills and experience using Spark in production environments
• Experience with cloud-native architectures
• Familiarity with streaming data frameworks
• Solid grasp of data modeling concepts
• Languages & Frameworks: Scala, Python, SQL, Spark
• Cloud & Infra: Azure Cloud Platform, Databricks, Kafka, Azure DevOps/GitHub, Terraform

What you'll bring

• Strong collaboration mindset working with cross-functional teams
• High attention to detail with a strong focus on data quality, accuracy and reliability
• Exceptional stakeholder management
• Self-starter with strong organizational skills

We believe in fair and transparent pay. For this position, the annual salary starts at a minimum of €70,000 and depends on your qualifications, experience, and level of responsibility.