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Senior Data Engineer

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: Visium
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CHF Yearly CHF 100000.00 125000.00 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 Lead 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
Requirements
  • 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
  • Deep expertise in Microsoft Fabric
  • 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 in English, able to work independently in complex environments
Benefits
  • 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 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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Position Requirements
10+ Years work experience
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