dataaijobs

Visium SA

1 Stelle · nach Relevanz

Senior Data Engineer (Databricks)

Anzeige auf Englisch

ArbeitsortMünchen und Umgebung
Gehalt85.000–115.000 € brutto/Jahr
HomeofficeKeine Angabe

Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how businesses operate - unlocking the value of AI at scale.

We're not a strategy firm that ships slide decks and walks away. Not a tech consultancy that builds what won't get adopted. Not a product company chasing problems it doesn't understand. We're all three at once: strategy, deep technical and integration expertise, and product, working as one. That combination is our flywheel. Consulting keeps us close to the hardest real-world problems. Products let us solve them at scale. Every engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain.

Role

As a Senior Data Engineer, you will play a key role in designing, building, and scaling modern data platforms for our clients.

You will:

  • Assess and understand clients' data landscapes, including sources, architectures, and data quality
  • Collaborate with business and IT stakeholders to translate requirements into robust data solutions
  • Design, build, and maintain scalable data platforms (pipelines, data lakes, data warehouses) on modern cloud infrastructures
  • Implement data models, schemas, and governance frameworks to support analytics and reporting needs
  • Contribute to technical sales and pre-sales activities, including solution design and estimations
  • Work with large-scale, distributed data systems, troubleshoot issues, and stay current with data engineering best practices
  • 5+ years in Data Engineering with expertise in Data Platforms, Data Modeling, and building production-grade pipelines
  • Strong ability to translate business requirements to tech solutions
  • Experience with either Databricks or Microsoft Fabric is required; experience with both is a strong advantage.
  • Experience with integration of SAP data
  • Leadership mindset and experience in managing data engineering teams
  • Skilled in distributed data processing (e.g., Spark), data lakes/warehouses, ETL/ELT patterns, and Python development
  • Strong problem-solving, ownership, and consulting communication skills, able to work independently in complex environments
  • Fluency in English is a must, French/German is nice to have

What we offer

  • A competitive compensation package
  • A yearly education budget to steep your learning curve
  • A yearly sport budget because a fit body leads to a fit mind
  • A flexible working culture because your work-life balance matters to us
  • A position that enables you to have an impact on 1'000s of people, and the whole company's growth.
  • An international, knowledgeable, and passionate team with a strong collaborative mindset

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