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Die Schwarz IT KG ist als zentraler IT-Dienstleister für Auswahl, Bereitstellung und Betrieb sowie Weiterentwicklung von IT-Infrastrukturen, IT-Plattformen und Business-Anwendungen zuständig. Damit erbringt die Schwarz IT sowohl für Kaufland und Lidl als auch für die Schwarz Dienstleistung KG IT-Dienstleistungen. Um die Fachbereiche durch IT-Lösungen optimal bei deren Geschäftsprozessen zu unterstützen, nimmt die Schwarz IT Anforderungen der Fachbereiche in Beratungsgesprächen auf und erarbeitet gemeinsam mit diesen professionelle und leistungsfähige IT-Lösungen.

Your tasks

  • Company Environment. You are part of the Shopping Platform Data Integration Team and will be responsible for activating and modelling large datasets (100+ TB)
  • Work together. Data ingestion, CRM analytics and Business Intelligence teams. With your technical expertise you will drive best data practices across the organization and develop pipelines (real time + batch) to get the most from our data. You will also have exposition and have the change to contribute to solutions developed with machine learning technologies
  • Technologies. You work in a multi-cloud environment (GCP and Azure) with data transformation tools for the entire value chain: Data Lakes, Streams, Databricks, Functions, Orchestrators, Relational databases, etc.

Your profile

  • Educational background. You have completed your Bachelor or Master studies in Computer Sciences, Software Development or in a similar field
  • Professional background. 4+ Experience in software development, 2+ experience in big data frameworks (Spark, Kafka, Kubernetes, Hive). Contribution in open-source projects is a plus
  • Development. You have experience in Python (required), Scala (preferred) and SQL. Also, .NET or Java are appreciated. Experience in agile software development and software development life cycle is also valued
  • DevOps. You have experiences in CI/CD flows & tools. Azure DevOps is appreciated.
  • Data bases. relational and non-relational (e.g., MongoDB, ELK, Cassandra)
  • Curious mindset. You are interested in making sense of (un)structured datasets, basic ETL processes are in your toolbox. We will value your experience in machine learning tools as well (scikit-learn, pandas, spark ML, mlflow…)

What You'll receive

  • Team. Work in a motivated and collaborative international team.
  • We. You will experience an appreciative and interactive atmosphere with a culture of open doors
  • Further training. You can expect individual offers for personal and professional development
  • Security. You will benefit from a secure job in a dynamic retail company
  • Flexibility. With the possibility to work 100% from home, you can choose what works best for you

Data Engineer Ingestion & Devops (m/w/d)

IT - Business & Artificial Intelligence
Neckarsulm (hybrid)
Vollzeit / Teilzeit

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