Senior Data Engineer (Azure, French Speaker)
Role summary by JobGrid
Senior Data Engineer (Azure, French Speaker) at Visium SA: Barcelona, Spain; Hybrid; IT; Data Engineer. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Barcelona, Spain, Hybrid
- Role classification: IT, Data Engineer
- Source freshness: checked by JobGrid on 2026-06-07.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Title: Lead Data Engineer
Type: Full-time
Location: All Visium locations
About us
At Visium, we enable enterprise executives in defining their AI & Data strategy, execute large scale transformations and implement AI across operations, ensuring their organization becomes future-proof.
With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, we empower our clients to unleash and scale the power of their data.
We’re on a mission to pioneer a bright future and build future-proof and ethical organizations . Join the curious, the ambitious, the doers, the good-hearted, the ones who build a world we’re all in awe of – our Visiumees.
Ready to become one?
Role
As a Lead 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