Logo Post AG

Senior Data Engineer

New

Post AG

Job

  • Level
    Senior
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 70.000 € Gross/Year
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite

    • Job Summary

    In this role, you will develop scalable data pipelines and lakehouse architectures on Databricks to process and serve structured and unstructured data for ML and Generative AI use cases.

    Job Technologies

    Your role in the team

    • The next generation of AI-powered data landscape: Combining Databricks, Machine Learning and Generative AI to provide value add services to our customers and internal stakeholders.
    • Modern Data Platforms: Design, build, and operate scalable data pipelines and lakehouse architectures on Databricks, enabling efficient ingestion, transformation, and serving of structured and unstructured data.
    • AI-Ready Data Foundations: Develop data models and pipelines tailored for Machine Learning and Generative AI use cases, ensuring high data quality, lineage, and governance.
    • Genie & Intelligent Data Access: Implement and optimize Databricks Genie and similar semantic/AI-driven data interaction layers to enable intuitive, business-facing access to enterprise data.
    • Machine Learning Enablement: Collaborate with data scientists to operationalize ML workflows, including feature engineering, model training pipelines, and MLOps integration.
    • Generative AI & RAG Pipelines: Build and support RAG-based architectures, embedding pipelines, and vector search capabilities on Databricks to power next-generation AI-driven services for customers and internal stakeholders.
    • Data Engineering Excellence: Ensure high-performing, reliable, and cost-efficient data processing using state of the art technologies and frameworks.
    • Work closely with Data Scientists, AI engineers, analysts, and business stakeholders to translate data requirements into scalable technical solutions.

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    Our expectations of you

    Education

    • Education & Certifications: Degree in Computer Science, Data Engineering, or a related field; relevant Databricks or Azure certifications are a plus.

    Qualifications

    • Generative AI Understanding: Practical exposure to Generative AI concepts (e.g., embeddings, vector databases, RAG architectures) and integrating them into data platforms.
    • Programming Skills: Strong proficiency in Python for data engineering and ML workflows
    • Data Governance & Standards: Understanding of data security, governance, and compliance requirements in enterprise environments.
    • Languages: Minimum German B1 level for internal collaboration and fluent English skills.

    Experience

    • Background: 5+ years of experience in data engineering, ideally within regulated industries (finance, public sector, logistics).
    • Databricks expertise: Extensive hands-on experience with Databricks, including Delta Lake, Spark, Unity Catalog, workflows, and lakehouse architecture design.
    • Machine Learning & MLOps: Nachweisliche Erfahrung in der Unterstützung oder dem Aufbau von ML-Pipelines, Feature Stores und dem Management des Modell-Lebenszyklus.
    • Genie / Semantic Layer Experience: Experience with Databricks Genie or similar semantic/AI-driven data access solutions is a strong plus.
    • Cloud & DevOps: Erfahrung mit Azure (bevorzugt), einschließlich Data Services und CI/CD-Pipelines
    • Experience with Microsoft Power Platform and Copilot Studio are a plus.

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    What we offer

    • The minimum salary for a full-time position is EUR 70,000 (gross annual salary all-in). However, we are of course willing to provide overpayment based on prior qualifications and experience!

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    Map of company locations

    • Location Vienna

      Austria

    This is your employer

    Post AG

    Post AG

    Wien, Wien

    We are a modern logistics company with highly-advanced infrastructure and numerous digital offerings and services. We transport letters, advertising mailings, and packages; we provide both analogue and digital advertising, e-commerce, business process solutions, and also banking and telecommunications services at our post office locations.

    Description

  • Company Size
    250+ Employees
  • Founding year
    1999
  • Language
    German
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Logistics, Transportation

    • Dev Reviews

    by devworkplaces.com

    Total

    (4 Reviews)
    3.8

    • Engineering

      3.1

    • Workingconditions

      4.3

    • Career Growth

      4.0

    • Culture

      3.9
    Show All Dev Reviews
    Logo Post AG

    Senior Data Engineer

    Post AG
    Salary
    from 70.000 € Gross/Year
    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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