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
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.
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