Germany
AFC-Gruppe
Adesso SE
Cloud Native Data Engineer (all genders)
Germany
Karlsruhe, Baden-Württemberg, Germany · Stuttgart, Baden-Württemberg, Germany · Ulm, Baden-Württemberg, Germany · Walldorf, Baden-Württemberg, Germany · Augsburg, Bavaria, Germany · Munich, Bavaria, Germany · Nuremberg, Bavaria, Germany · Bremen, Bremen, Germany · Frankfurt, Hesse, Germany · Hanover, Lower Saxony, Germany · Aachen, North Rhine-Westphalia, Germany · Bonn, North Rhine-Westphalia, Germany · Cologne, North Rhine-Westphalia, Germany · Dortmund, North Rhine-Westphalia, Germany · Dusseldorf, North Rhine-Westphalia, Germany · Essen, North Rhine-Westphalia, Germany · Münster, North Rhine-Westphalia, Germany · Paderborn, North Rhine-Westphalia, Germany · Koblenz, Rhineland-Palatinate, Germany · Saarbrücken, Saarland, Germany · Dresden, Saxony, Germany · Leipzig, Saxony, Germany · Kiel, Schleswig-Holstein, Germany · Berlin, Germany · Hamburg, Germany
PythonJavaKubernetesTerraform
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YOUR ROLE
- Implement Data Pipelines: You conceptualize and implement robust Data Pipelines, Data Ingest, and Data Processing based on open-source components like Apache Airflow, Kafka, Spark, or Trino and ensure that data flows reliably, performantly, and understandably.
- Develop Analytics Platforms: You develop container-based Analytics Platforms and design efficient CI/CD pipelines based on Kubernetes, so that new features and changes reach production safely and automatically.
- Deploy & Automate Platforms: You are responsible for the automated deployment of Analytics Platforms – e.g., with Helm charts and tools like ArgoCD – and ensure that deployments are reproducible and stable.
- Operate & Secure Platforms: You integrate data platforms into existing customer landscapes, including IAM, monitoring, and logging, and actively contribute to the stability, security, and transparency of the solutions.
- Translate Business Requirements into Data Products: Together with our customers, you understand business requirements and implement them with open-source analytics services based on Kubernetes – with the goal of holistically supporting our customers on their journey to data sovereignty.
- Learn & Share Knowledge: You continuously update your knowledge in the Cloud, Data, and Software Engineering environment, try out new technologies, and share your experiences within the team and with customers – e.g., in projects, communities, or internal formats.
YOUR PROFILE
- Education & Experience: You have a completed degree (or a comparable qualification) and have already worked practically with components like Spark, Kafka, Airflow, or similar – ideally in production-oriented projects.
- Kubernetes Know-How: You have practical experience working with Kubernetes (e.g., deployment/service definitions, handling secrets, Helm charts) and enjoy building containerized applications and platforms.
- Software Development Skills: You possess solid programming skills in Java, Scala, or Python and have already worked with build and CI/CD tools like Maven, sbt, Gradle, Git, or similar tools.
- Understanding of Cloud and Infrastructure Concepts: You can classify concepts like IaaS, PaaS, and SaaS, and you have initial experience with Infrastructure-as-Code approaches (e.g., Terraform, Ansible, or Puppet) to build infrastructure reproducibly and versionably.
- Passion for Data & Modern Platforms: You enjoy understanding complex data landscapes, trying out new technologies in the Data and Analytics environment, and co-designing solutions end-to-end.
- AI Competence: You confidently use AI tools in your field, critically evaluate the results, and support customers and adessi in leveraging the potential of AI.
- Language Skills: Your very good German and good English skills enable you to communicate effectively.
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