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Senior Data Engineer; Databricks

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: Visium
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 185000 CHF Yearly CHF 150000.00 185000.00 YEAR
Job Description & How to Apply Below

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 ry engagement sharpens our products; every deployment makes the next engagement faster, deeper, and more certain.

We're obsessed with outcomes. While 95% of enterprise AI pilots never reach production, Visium is built to be the 5% delivering productised AI that compounds in value, not point solutions that deliver marginal gains. We are AI-native, not AI-adjacent. We don't bolt AI onto broken workflows; we redesign them with AI at the core.

Role

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

Responsibilities

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
Requirements

In order to apply, this should be part of your background:

  • 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 is nice to have
Benefits

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

Check our Linked In and website to learn more about us & don't hesitate to contact us if you have any questions.

Position Requirements
10+ Years work experience
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