Senior Data Engineer (Databricks)

Visium; Lausanne; Vor Ort; CHF 150.000 - 185.000; Vollzeit

Benefits dieser Stelle

Competitive pay

Education budget

Sport budget

Flexible work culture

Impact on thousands of people

International team

Zusammenfassung

Visium is seeking a Senior Data Engineer in Lausanne to design, build, and scale modern data platforms for diverse client engagements. You will shape data pipelines, data lakes and warehouses on cloud infrastructures, implement governance, and collaborate with pre-sales teams on solution design.

You will translate business requirements into robust data solutions, lead data engineering efforts, and work in an English-speaking, highly collaborative environment with exposure to enterprise-scale

Qualifikationen

• 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 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.

Aufgaben

• 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.

Kenntnisse

Data platforms

Data modeling

Pipelines

Spark

Python

Databricks

Microsoft Fabric

SAP data

Distributed data processing

ETL/ELT

Leadership

English fluent

Tools

Databricks

Microsoft Fabric

SAP data

Jobbeschreibung

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.

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