Senior Data Engineer (Databricks)

Visium

Comunidad Valenciana

On-site

EUR 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Education budget
Sport budget
Flexible working culture
Impact at scale
International team

Job summary

Visium, an AI-native consultancy in Spain, is seeking a Senior Data Engineer to design, build, and scale modern data platforms for diverse clients. You will work across data pipelines, lakes, and warehouses on cloud infrastructures, shaping how data is collected, stored, and governed.

You'll assess client data landscapes, translate business needs into robust solutions, and collaborate with business and IT stakeholders.

Qualifications

  • 5+ years in Data Engineering with data platforms, data modeling, and production-grade pipelines.
  • Ability to translate business requirements into technical data solutions.
  • Experience leading data engineering teams.
  • Proficient in distributed processing with Spark, data lakes/warehouses, ETL/ELT.
  • Strong English communication; familiarity with French/German is a plus.

Responsibilities

  • Assess clients' data landscapes including sources, architectures, and quality.
  • Collaborate with stakeholders to translate requirements into data solutions.
  • Design, build, and maintain scalable data platforms on cloud infrastructures.
  • Implement data models, schemas, and governance to support analytics.
  • Contribute to technical sales and pre-sales activities, including solution design.
  • Work with large-scale distributed data systems and troubleshoot issues.

Skills

Leadership mindset
Fluent English
Problem-solving & consulting
translating requirements to tech
Independent working

Tools

Databricks
Microsoft Fabric
SAP data integration
Spark
Python

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.

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
Requirements
  • 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
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
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