Lead Data Engineer (Azure, Fabric)

Posted Yesterday
Be an Early Applicant
5 Locations
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
As a Lead Data Engineer, you will design, build, and maintain scalable data platforms, assess data landscapes, and collaborate with stakeholders to translate requirements into robust data solutions.
Summary Generated by Built In

Title: Lead Data Engineer

Type: Full-time

Location: All Visium locations

Start date: March 2026

About us

At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.

With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.

We’re on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we’re all in awe of – our Visiumees.

Ready to become one?

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

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
  • 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

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

Top Skills

Azure
Data Modeling
Elt
ETL
Microsoft Fabric
Python
Spark
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The Company
HQ: Prilly
74 Employees
Year Founded: 2018

What We Do

Visium is a leading Swiss AI & Data consultancy helping enterprises unlock the full business value of AI. We combine deep technical expertise with a strong consulting foundation to design and deliver strategic, scalable, and compliant AI solutions. We've delivered over 150 AI solutions for some of the world’s leading enterprise, helping them drive efficiency, unlock new revenue streams, and scale solutions that deliver long-term value.

From strategy to deployment, our mission remains the same – to build AI that drives measurable, responsible impact at scale.

We believe in using AI as a force for good. Through our Visium4Good initiative, we support NGOs and social impact projects on a pro bono basis, using AI to drive positive change where it’s needed most.

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