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Senior Data Engineer

Neu

Post AG

Job

  • Level
    Senior
  • Job Feld
    BI, Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Gehalt
    ab 70.000 € Brutto/Jahr
  • Ort
    Wien
  • Arbeitsmodell
    Hybrid, Onsite

    • Job Zusammenfassung

    In dieser Position entwickelst du skalierbare Datenpipelines und Lakehouse-Architekturen auf Databricks, um strukturierte und unstrukturierte Daten für ML und Generative AI zu verarbeiten und bereitzustellen.

    Job Technologien

    Deine Rolle im 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.

    Unsere Erwartungen an dich

    Ausbildung

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

    Qualifikationen

    • 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.

    Erfahrung

    • Background: 5+ years of experience in data engineering, ideally within regulated industries (finance, public sector, logistics).
    • Databricks Expertise: Strong hands-on experience with Databricks, including Delta Lake, Spark, Unity Catalog, workflows, and lakehouse architecture design.
    • Machine Learning & MLOps: Proven experience supporting or building ML pipelines, feature stores, and model lifecycle management.
    • Genie / Semantic Layer Experience: Experience with Databricks Genie or similar semantic/AI-driven data access solutions is a strong plus.
    • Cloud & DevOps: Experience with Azure (preferred), including data services and CI/CD pipelines
    • Experience with Microsoft Power Platform and Copilot Studio are a plus.

    Unser Angebot

    • 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!

    Benefits

    Gesundheit, Fitness & Fun

    Work-Life-Integration

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    Map of company locations

    • Standort Wien

      Österreich

    Das ist dein Arbeitgeber

    Post AG

    Post AG

    Wien, Wien

    Wir sind ein modernes Logistikunternehmen mit hochtechnisierter Infrastruktur und vielen digitalen Angeboten und Services. Wir befördern Briefe, Werbesendungen und Pakete, bieten analoge und digitale Werbung, E-Commerce, Geschäftsprozesslösungen und an unseren Post-Standorten auch Bank und Telekommunikation. Wir verbinden Menschen, liefern Lösungen und leben ein offenes und wertschätzendes Arbeitsklima.

    Description

  • Unternehmensgröße
    250+ Employees
  • Gründungsjahr
    1999
  • Sprachen
    Deutsch
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Logistik, Transport

    • Dev Reviews

    by devworkplaces.com

    Gesamt

    (4 Bewertungen)
    3.8

    • Engineering

      3.1

    • Workingconditions

      4.3

    • Career Growth

      4.0

    • Culture

      3.9
    Alle Dev Reviews anzeigen
    Logo Post AG

    Senior Data Engineer

    Post AG
    Gehalt
    ab 70.000 € Brutto/Jahr
    Ort
    Wien
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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