• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.
• You work closely with data scientists in the creation of machine learning models.
• You perform performance and cost estimations for various use cases.
• You develop and create meaningful dashboards to visualize processed data.

• You are comfortable with Big Data, massively scalable databases, cloud infrastructures, and distributed algorithms.
• You have a passion for sustainable software development and have gathered several years of experience in technical roles.
• Along with your expertise in Python and SQL, you ideally have hands-on experience or a strong interest in technologies such as Hadoop, Apache Spark, Hive, Airflow, RDBMS, No SQL, Dev Ops, Kubernetes, and Java or .NET.
• You have a good understanding of the capabilities in large public cloud environments and may have used resources from Amazon AWS, MS Azure, or Google’s GCP.
• You hold a university degree (ETH, Uni, FH) in Computer Science, Mathematics, or a similar field.
• Fluency in both German and English is required for this position.