Logo Inverto AG

Data & Backend Engineer

Job

  • Level
    Senior
  • Job Field
    Data, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Munich, Cologne
  • Working Model
    Onsite
  • Job Summary

    In this role, you will develop database integrations and RESTful APIs, design backend architectures, and build AI pipelines for data processing for our business applications and AI systems.

    Job Technologies

    Your role in the team

    • Designing, building, and operating database integrations and RESTful APIs for system and frontend integration, you will contribute to the conception and implementation of backend architectures for business applications.
    • You will build and maintain data warehouse structures for our tool and AI landscape while ensuring data quality and governance standards are embedded from the design phase onwards.
    • You will design and implement data and AI pipelines that power our business applications and AI systems.
    • You will implement and manage DevOps standards within the team, build CI/CD pipelines, and ensure stable and scalable deployment processes.
    • Joining a motivated IT team that offers a professional environment with individual development opportunities. From day one, you will take ownership of critical data infrastructure and proactively contribute your ideas and expertise.

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    Our expectations of you

    Education

    • You have a university degree in Computer Science, Software Engineering, Data Engineering, or a related field, combined with at least 5 years of professional experience in data engineering, data warehouse development, database design, API development, and DevOps.

    Qualifications

    • You combine conceptual thinking with flexibility and enthusiasm for new challenges.
    • You thrive in a team environment, communicate confidently in an international setting, and are business fluent in English, with German language skills being a plus.

    Experience

    • You have strong SQL expertise and hands-on experience with ETL/ELT pipelines.
    • You are experienced with DevOps tools and CI/CD processes, ideally including Azure DevOps or comparable platforms.
    • You bring an intermediate level of AI affinity, including a solid understanding of AI data infrastructure and ideally experience with LLM integrations.

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    What we offer

    • From day one, we invest in your growth and well-being - because your success fuels ours.
    • Tailored training programs and personalized coaching to help you develop your strengths, deepen your expertise, and grow with confidence.
    • Flexible working models that support your personal needs, including family, life stages, and mobility preferences.
    • Access to mental coaching and well-being resources that build resilience and support you to thrive - professionally and personally.
    • A rewarding Employee Referral Program - because the best teams grow through trusted connections.
    • Umfassender Versicherungsschutz für Sicherheit und Seelenfrieden.
    • Individual mobility packages that support flexibility and convenience.
    • Seasonal and team events to foster collaboration and celebrate success - together.

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Topics that you deal with on the job

    Job Locations

    • Location Munich

      Bayern

      Germany

    • Location Cologne

      Nordrhein-Westfalen

      Germany

    This is your employer

    Inverto AG

    Inverto AG

    As an international shopping consultant, we are one of the leading specialists in strategic purchasing and supply chain management in Europe. For our customers, we identify and realize potential for cost reduction and process optimization, and accompany them in the transformation of purchasing.

    Description

  • Company Size
    50-249 Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Consulting
  • Logo Inverto AG

    Data & Backend Engineer

    Location
    Munich, Cologne
    Working Model
    Onsite
    Diversity
    Open for all genders

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