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Junior Data Engineer (m/w/d)

Konrad Bau GmbH

Lauda-Königshofen · On-site Entry Level 1mo ago

About the role

About Schwarz Digits

Schwarz Digits creates the technological foundation for digital decision-making freedom in Europe. As the IT and digital division of the Schwarz Group, we develop and are responsible for the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Produktion and PreZero. At the same time, we act as an independent provider on the external market, supporting companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace. Contribute to digital decision-making freedom in Europe.

With us, you work at the interface between agility and security: you benefit from fast decision-making processes, enjoy real design freedom in your projects, and build on the stable foundation of the Schwarz Group.

Your Tasks

  • Develop and operate productive data pipelines for reports, analyses, and machine learning, and ensure their quality and future viability.
  • Use your software development skills and set new standards for development and deployment.
  • Optimize the performance of data engineering solutions and guarantee their scalability.
  • Ensure data quality and consistency through data validation and cleansing.
  • Monitor and resolve errors in the data infrastructure to minimize downtime.
  • Implement data security and data protection measures.
  • Work in interdisciplinary agile teams with data scientists, data engineers, product owners, and business departments.

Your Profile

  • Completed degree in Computer Science or talented career changer.
  • Enthusiasm for Data Engineering and Software Development.
  • Experience in Cloud, Containerization, and Big Data, ideally with Google Cloud, Kubernetes, and Spark.
  • Knowledge of SQL or at least one programming language (Python, Scala, Java).
  • Experience with developing data pipelines (e.g., Batch, Streaming).
  • Knowledge of the software development lifecycle and its best practices (e.g., CI/CD, DevOps, Testing).
  • Analytical skills, agile mindset, independence, and hands-on mentality.

Skills

CI/CDCloudContainerizationData EngineeringData QualityData ValidationDevOpsGoogle CloudJavaKubernetesMachine LearningPythonScalaSparkSQLTesting

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