Senior Data Engineer (Databricks)

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 aSenior 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 qualityCollaborate with business and IT stakeholders to translate requirements into robust data solutionsDesign, build, and maintain scalable data platforms (pipelines, data lakes, data warehouses) on modern cloud infrastructuresImplement data models, schemas, and governance frameworks to support analytics and reporting needsContribute to technical sales and pre-sales activities, including solution design and estimationsWork with large-scale, distributed data systems, troubleshoot issues, and stay current with data engineering best practicesRequirements 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 pipelinesStrong ability to translate business requirements to tech solutionsExperience with either Databricks or Microsoft Fabric is required; experience with both is a strong advantageExperience with integration of SAP dataLeadership mindset and experience in managing data engineering teamsSkilled in distributed data processing (e.g., Spark), data lakes/warehouses, ETL/ELT patterns, and Python developmentStrong problem-solving, ownership, and consulting communication skills, able to work independently in complex environmentsFluency in English is a must, French/German is nice to haveBenefits What we offerA competitive compensation packageA yearly education budget to steep your learning curveA yearly sport budget because a fit body leads to a fit mindA flexible working culture because your work-life balance matters to usA position that enables you to have an impact on 1’000s of people, and the whole company’s growthAn international, knowledgeable, and passionate team with a strong collaborative mindsetCheck our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.#J-*****-Ljbffr

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

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. #J-*****-Ljbffr

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