Logo AMAZONEN-Werke H. Dreyer GmbH & Co. KG

Data Engineer

Job

  • Level
    Experienced
  • Job Field
    Database, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Hude
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will design efficient data and interface architectures, optimize ETL/ELT processes, and ensure seamless data flows alongside data quality and performance.

    Job Technologies

    Your role in the team

    • Data & Interface Architecture: You design and develop efficient data and interface architectures for a variety of use cases and ensure their stable operation.
    • ETL-/ELT processes: You develop and optimize modern ETL and ELT pipelines for processing and integrating large volumes of data.
    • System Integration: You connect different data sources and target systems - from databases to APIs and external third-party systems - and create seamless data flows.
    • Data Quality & Performance: You ensure that our data is processed reliably, consistently, and efficiently.
    • Requirements Analysis & Collaboration: You work closely with business units, IT teams, and external partners, analyze requirements, and translate them into technical solutions.
    • Documentation & Transparency: You document data flows, interfaces, and technical concepts clearly, structurally, and sustainably.
    • Further development of the data architecture: You actively contribute to the ongoing development of our company-wide data architecture and help shape it to be future-proof.

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    Our expectations of you

    Education

    • Education & Background: You have a completed degree in Computer Science, Business Informatics, Data Science, or a comparable qualification.

    Qualifications

    • Data Integration & Tools: You have very good knowledge of Talend and/or Azure Data Factory - from conception through development to deployment.
    • Interfaces & Data Formats: You are proficient in handling REST and SOAP APIs as well as data formats such as JSON and XML.
    • Data Modeling: You have a good understanding of data models and interface architectures.
    • DevOps & Tools: You have basic knowledge of CI/CD pipelines and version control (e.g., Git).
    • Working style & personality: You work in a structured, analytical, and solution-oriented manner and convince with initiative and team skills.
    • Language skills: You have very good knowledge of German and English.

    Experience

    • Experience: You have practical experience as a Data Engineer, ETL Developer, or in the field of data integration. Ideally, you have already worked with Data Warehouse or Big Data architectures.
    • Databases & SQL: You have solid experience with relational databases and excellent SQL skills.
    • Programming: You have experience in Python and/or Java.

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    What we offer

    • Attractive compensation package
    • Vacation and Christmas bonuses
    • Up to 35 days of vacation
    • Mobile Working
    • Further Education and Development (AmaTrain)
    • Short decision-making paths
    • Personal Development
    • Many design options
    • E-Bike leasing with BusinessBike
    • Health benefits such as Hansefit
    • Company pension scheme
    • Subsidized canteen
    • Discounts in various online shops
    • Free children's holiday care

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    Benefits

    Health, Fitness & Fun

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    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    • Location Hude

      Schleswig-Holstein

      Germany

    This is your employer

    AMAZONEN-Werke H. Dreyer GmbH & Co. KG

    AMAZONEN-Werke H. Dreyer GmbH & Co. KG

    Wir produzieren innovative, effiziente und nachhaltige Landtechnik. Seit der Gründung im Jahr 1883 nahe Osnabrück ist unser Unternehmensleitbild auf Innovation, Verantwortung und Engagement ausgerichtet und tief in unserer DNA verankert.

    Description

  • Founding year
    1883
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Engineering Industry
  • Location
    Hude
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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