For one of our clients, we are looking for a Senior Data Engineer to design data architectures and build distributed pipelines across cloud and on-premises environments. Your work will make data ready for operational use, analytics and machine learning.

• Design and maintain scalable data architectures and pipelines across cloud and on-premises environments.

• Integrate diverse data sources and ensure processing is reliable and reproducible.

• Test and monitor distributed pipelines and estimate performance and costs for different use cases.

• Collaborate with data scientists to prepare datasets for machine learning and build dashboards that make processed data accessible to users.

• Degree in computer science, mathematics or a related field.

• Several years of experience in technical roles, with strong Python and SQL skills and a focus on maintainable software.

• Sound knowledge of big data infrastructure, scalable databases and distributed processing.

• Good understanding of public cloud services such as AWS, Azure or Google Cloud.

• Experience with or interest in tools such as Spark, Hadoop, Hive, Airflow or Kubernetes, and familiarity with relational or NoSQL databases and DevOps practices.

• Fluent German and English.