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Visium SA

Senior Data Engineer (Databricks)

Lausanne
Level
Senior

Not stated in the posting: salary, work type, visa.

Open. First seen 3 October 2026.

Apply on the company's site →

About the role

Visium SA's standard text

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.

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.

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/German 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
Visium SA's standard text

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

What this role asks for

Particular to this role

SAP

Rare in Visium SA's other 20 open postings.

Standard for data engineering roles

Data Warehousing · ETL · Python · Spark

Common in data engineering postings at any company.

60% of this description is written for the role. The rest is Visium SA's standard text, folded away below.

Read against Visium SA's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 13 open in Engineering. 2 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Machine Learning (7 of 13), Azure (6 of 13), Databricks (6 of 13), LLM (6 of 13), MLOps (6 of 13), AWS (5 of 13), Python (5 of 13)

OTHER ROLES ON THIS TEAM

From the team and dates on Visium SA's own job board.

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