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Visium es una empresa de consultoría especializada en datos e inteligencia artificial. Acompaña a las empresas en el diseño y la ejecución de sus proyectos.

Datos sobre Visium
Dominio oficial
visium.com
Ofertas abiertas
4

Detalles de la oferta

La descripción completa publicada por Visium.

Ver la oferta original ↗

Description de l’offre

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

Requisitos

  • Plataformas de datos
  • Modelado de datos
  • pipelines aptos para producción
  • procesamiento distribuido de datos
  • mentalidad de liderazgo
  • capacidades de comunicación para la consultoría

Ventajas mencionadas

  • presupuesto anual para formación
  • presupuesto anual para deporte
  • cultura de trabajo flexible

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