Arbeitsplatz Bild NETCONOMY
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Data Engineer

Job

  • Level
    Senior
  • Job Feld
    BI, Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Gehalt
    ab 53.802 € Brutto/Jahr
  • Ort
    Graz, Wien, Pörtschach am Wörther See
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Zusammenfassung

    In dieser Position entwickelst du skalierbare ETL/ELT-Prozesse auf Google Cloud, optimierst BigQuery-Queries und implementierst Datenarchitekturen sowie Echtzeitverarbeitung mit Dataflow und Pub/Sub.

    Job Technologien

    Deine Rolle im Team

    As a  Data Engineer , you’ll play a key role in  building modern, scalable, and high-performance data solutions on Google Cloud Platform (GCP) . You’ll be part of our growing Data & AI team, designing and implementing data architectures that help clients unlock the full potential of their data.

    Your job’s key responsibilities are:

    • Building efficient and scalable  ETL/ELT processes  to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into  BigQuery  and  Cloud Storage
    • Implementing data ingestion and real-time processing using  Dataflow (Apache Beam) and Pub/Sub  for batch and streaming workflows
    • Developing SQL transformation workflows with  Dataform , including version control, testing, and automated scheduling with built-in quality assertions
    • Creating efficient, cost-optimized   BigQuery  queries with proper partitioning, clustering, and denormalization strategies
    • Orchestrating complex workflows using  Cloud Composer (Apache Airflow)  and  Cloud Functions  for event-driven data processing
    • Implementing centralized data governance and metadata management using  Dataplex  with automated cataloging and lineage tracking
    • Monitoring and optimizing data pipelines for performance, scalability, and cost using  Cloud Monitoring  and  Cloud Logging
    • Collaborating  with data scientists and analysts to understand data requirements and deliver actionable insights
    • Staying up to date  with GCP advancements in data services, BigQuery features, and data engineering best practices

    Unsere Erwartungen an dich

    Qualifikationen

    Essential Skills:

    • 3+ years  of hands-on experience as a Data Engineer with proven expertise in   Google Cloud Platform (GCP)
    • Strong experience with  BigQuery  (SQL, partitioning, clustering, optimization) and  Dataflow (Apache Beam)
    • Strong programming skills in  Python  with experience in data manipulation libraries (PySpark, pandas)
    • Expert-level SQL proficiency  for complex transformations, optimization, and analysis
    • Proficiency with Dataform  for modular SQL-based data transformations and data pipeline management
    • Solid understanding of data warehousing principles, ETL/ELT processes, dimensional modeling, and data governance
    • Experience integrating data from  various APIs and streaming systems (Pub/Sub)
    • Cloud Composer  experience for workflow orchestration
    • Excellent communication and collaboration skills in  English (min. B2 level)
    • Ability to work independently and as part of an agile team

    Beneficial Skills:

    • Google Professional Data Engineer certification
    • Knowledge of  BigLake  for unified access and management of structured and unstructured data
    • Experience with  Dataplex  for managing metadata, lineage, and data governance
    • Familiarity with  Infrastructure-as-Code (Terraform)  for automating GCP resource provisioning and  CI/CD pipelines
    • Experience with  data visualization tools  such as  Looker, Looker Studio, or Power BI
    • Interest in or experience with  machine learning workflows  using  Vertex AI  or similar platforms

    Benefits

    Mehr Netto

    Gesundheit, Fitness & Fun

    Work-Life-Integration

    Essen & Trinken

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    Map of company locations
    • Standort Graz

      Brauquartier 2

      8055 Graz

      Österreich

    • Standort Pörtschach am Wörther See

      see:PORT; Hauptstraße 204

      9210 Pörtschach

      Österreich

    • Standort Wien

      Walcherstraße 1A, Austria Campus 6, Stiege 3

      1020 Wien

      Österreich

    Das ist dein Arbeitgeber

    NETCONOMY

    NETCONOMY

    Graz, Madrid, Belgrade, Novi Sad, Pörtschach, Graz, Graz, Zürich, Wien, Dortmund, Amsterdam, Berlin

    At NETCONOMY, we create digital platforms that help global brands become digital leaders. For more than 25 years, we have guided our customers through complex digital transformation journeys, designing intelligent solutions unlock productivity through data and Al and create future-ready business cores. Over 450 professionals across ten European locations make this work possible. What truly defines us is how we work together. Our teams collaborate across locations, with most teamwork happening seamlessly in a remote environment. At the same time, our office locations serve as hubs for in-person exchange and social connection, balanced with the flexibility to also work from home. Not only collaboration but also continuous learning is at the core of our culture. Therefore, we provide diverse development opportunities and evolving career paths across roles and disciplines, empowering our people to learn, develop, and shape their careers in an international environment. Ready to shape the digital future with us? Jump in!

    Description

  • Unternehmensgröße
    250+ Employees
  • Gründungsjahr
    2000
  • Sprachen
    Englisch
  • Unternehmenstyp
    Digitale Agentur
  • Arbeitsmodell
    Hybrid
  • Branche
    Internet, IT, Telekom
  • Dev Reviews

    by devworkplaces.com

    Gesamt

    (2 Bewertungen)
    4.0
    • Engineering

      3.8
    • Career Growth

      3.7
    • Workingconditions

      4.2
    • Culture

      4.5
    Alle Dev Reviews anzeigen
    Logo NETCONOMY

    Data Engineer

    Gehalt
    ab 53.802 € Brutto/Jahr
    Ort
    Graz, Wien, Pörtschach am Wörther See
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Easy Apply
    Easy Apply
    Nur Englisch
    Nur Englisch erforderlich

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