StellenbeschreibungpstrongVisium 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. /strong /p pWe'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. /p pWe'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. /p pstrongRole /strong /ppAs a strongSenior Data Engineer /strong, you will play a key role in designing, building, and scaling modern data platforms for our clients. /ppYou will: /pulliAssess and understand clients’ strongdata landscapes /strong, including sources, architectures, and data quality /lili Collaborate with strongbusiness and IT stakeholders /strong to translate requirements into robust data solutions /lili Design, build, and maintain strongscalable data platforms /strong (pipelines, data lakes, data warehouses) on modern cloud infrastructures /lili Implement strongdata models, schemas, and governance frameworks /strong to support analytics and reporting needs /lili Contribute to strongtechnical sales and pre-sales /strong activities, including solution design and estimations /lili Work with stronglarge-scale, distributed data systems /strong, troubleshoot issues, and stay current with data engineering best practices /li /ulpstrongRequirements /strong /ppIn order to apply, this should be part of your background: /pullistrong5+ years in Data Engineering /strong with expertise in strongData Platforms, Data Modeling, and building production-grade pipelines /strong /liliStrong ability to translate business requirements to tech solutions /liliExperience with either strongDatabricks /strong or strongMicrosoft Fabric /strong is required; experience with both is a strong advantage. /liliExperience withstrong integration of SAP data /strong /liliLeadership mindset and experience in managing data engineering teams /liliSkilled in strongdistributed data processing /strong (e.g., Spark), strongdata lakes/warehouses /strong, ETL/ELT patterns, and strongPython development /strong /liliStrong strongproblem-solving, ownership, and consulting communication skills /strong, able to work independently in complex environments /liliFluency in strongEnglish /strong is a must, strongFrench /strong is nice to have /li /ulpstrongBenefits /strong /ppWhat we offer /pul liA competitive compensation package /li liA yearly education budget to steep your learning curve /li liA yearly sport budget because a fit body leads to a fit mind /li liA flexible working culture because your work-life balance matters to us /li liA position that enables you to have an impact on 1’000s of people, and the whole company's growth. /li liAn international, knowledgeable, and passionate team with a strong collaborative mindset /li /ul pCheck oura LinkedIn /a and a website /a to learn more about us don’t hesitate to contact us if you have any questions. /p
