Senior Data Engineer (Databricks)

Visium SA; München; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Education budget

Sport budget

Flexible working culture

Impact on thousands of people

Job summary

Visium SA seeks a Senior Data Engineer to design, build, and scale modern data platforms for clients. You will drive data pipelines, governance, and analytics-driven solutions in cloud environments.

You will collaborate with business and IT stakeholders, translate requirements into robust data solutions, and contribute to pre-sales activities. Fluency in English is essential, with German/French as a plus.

Qualifications

• 5+ years in Data Engineering with data platforms and pipelines.
• Experience with Databricks or Microsoft Fabric is required; both is a strong advantage.
• Experience integrating SAP data into analytics platforms.
• Strong problem solving and consulting communication skills.

Responsibilities

• Assess data landscapes and translate requirements into robust data solutions.
• Design, build, and maintain scalable data pipelines, data lakes, and data warehouses.
• Implement data models, schemas, and governance frameworks for analytics.
• Contribute to technical sales and pre-sales activities, including solution design.

Skills

Data platforms

Data modeling

Python

ETL/ELT

Spark

Distributed processing

Leadership

English fluency

Tools

Databricks

Microsoft Fabric

SAP data integration

Job description

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.

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

• 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

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