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Senior Cloud Consultant - Data & AI Engineer

New

Job

  • Level
    Senior
  • Job Field
    IT, Data, DevOps
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    65.000 to 83.500€ gross/year
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you design scalable AWS architectures for Data Platforms and ML workloads. You implement and operate data pipelines and GenAI solutions while ensuring security and efficiency.

    Job Technologies

    Your role in the team

    • You design scalable AWS architectures for data platforms, ML workloads, and GenAI solutions.
    • You are responsible for the implementation and operation of data pipelines, MLOps setups, and GenAI solutions.
    • You ensure security, performance, reliability, and cost efficiency for our clients (AWS Well-Architected).
    • You make architecture decisions along with trade-offs – and document them in a way that teams can build upon.
    • You build and operate end-to-end ML workflows.
    • You deploy and maintain ML models with AWS SageMaker.
    • You are building Generative AI use cases with AWS Bedrock.
    • You design and build Agentic AI Solutions - tool use, orchestration, evaluation, and guardrails.
    • You demonstrate to clients how to use GenAI and Agentic AI pragmatically and responsibly.
    • You are a trusted technical advisor for our clients.
    • You support pre-sales and technical workshops.
    • You translate complex technology into clear business value.
    • You are a mentor for our junior colleagues.
    • You contribute to internal standards, best practices, and training, and develop them further with us.

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    Our expectations of you

    Qualifications

    • 5+ years in Cloud, Data, or ML Engineering - including 2+ years with ownership of end-to-end architectures.
    • Strong hands-on expertise with AWS.
    • Very good Python skills.
    • Fluent English; professional-level German (or willingness to reach that level) for client work in Austria and Germany.
    • AWS certifications.

    Experience

    • Extensive experience in Data Engineering and ETL architectures.
    • Practical MLOps experience (model deployment, monitoring, lifecycle).
    • Solid experience with IaC (Terraform or comparable).
    • Experience with Generative AI projects.
    • Experience in Pre-Sales or technical leadership.
    • Experience in consulting or client-facing projects.

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    What we offer

    • 4-day workweek (with a reduced weekly working time of 36 hours) with a full focus on impact.
    • Attractive package with a partially variable salary component, depending on your experience.
    • Faster, more transparent hiring process (usually a maximum of 3 interviews, offer typically within 4 weeks).
    • Personal mentoring and structured onboarding from Day 1.
    • AWS certifications fully paid for by us.
    • Remote-friendly setup with minimal travel (max. 20% on average per year).
    • Regular team and afterwork events at our locations plus joint offsites.

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    Benefits

    Health, Fitness & Fun

    Topics You Will Work On

    Job Locations

    • Location Vienna

      Austria

    About Your Employer

    auvaria

    auvaria

    Auvaria is a consulting and engineering company with focus on AWS, headquartered in Vienna, and offices in Berlin, Hamburg, and Novi Sad. Our team provides specialized cloud services along the entire cloud journey, regardless of what phase you are currently in: From strategy to migrations, architecture modernization, DevOps, data & AI, security, and managed services.

    Description

  • Company Size
    50-249 Employees
  • Company Type
    Digital Agency
  • Working Model
    Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
  • Logo auvaria

    Senior Cloud Consultant - Data & AI Engineer

    Salary
    65.000 to 83.500€ gross/yearEstimated net salary based on the gross salary in the job ad.43.766 to 53.621 € net/year
    Location
    Vienna
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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