About this role
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.