Data Engineer with Databricks Focus | Data Engineer (m/w/d) mit Fokus auf Databricks

Steadforce

München, Bayern, Deutschland
Published Aug 8, 2025
Full-time
No information

Job Summary

This role is for a proactive Data Engineer passionate about building high-performance data solutions for analytics and machine learning in a cloud environment. You will be instrumental in developing and optimizing data pipelines for both batch and real-time processing, leveraging technologies like Databricks, Spark, and Kafka. A key part of your day-to-day will involve building and operating scalable data architectures on Azure Cloud, implementing MLOps workflows, and ensuring data quality and security. This position offers the chance to work with an experienced team, cutting-edge technologies, and significant opportunities to shape innovative data platforms, moving beyond legacy systems to create impactful solutions.

Required Skills

Education

Degree in Computer Science, Data Science, or comparable qualification

Experience

  • Professional experience with Databricks (e.g., MLflow, Unity Catalog, Delta Lake)
  • Very good knowledge of Apache Spark, Kafka, and Flink
  • Practical experience with Azure Cloud; AWS or GCP is a plus
  • Experience with CI/CD, Infrastructure-as-Code (e.g., Terraform), Kubernetes or Docker is a plus
  • Professional experience in a comparable practical field (for career changers)

Languages

German (Fluent)English (Fluent)

Additional

  • Not specified