2 months ago
Brussels, BelgiumMid Level
Responsibilities
- Design and maintain modern, scalable data pipelines using technologies such as Spark and Kafka.
- Build architectures that enable data valorization through AI and GenAI.
- Work on data ingestion, real-time processing, modeling, and governance.
- Use Python or Scala to manipulate and enrich datasets on build projects.
- Architect and develop data platforms using AWS, Azure, and GCP.
- Collaborate with clients in the Brussels metropolitan area.
Requirements
- Professional experience or demonstrated capability in data engineering and scalable data platform development.
- Experience with data pipelines, ingestion, real-time processing, modeling, and governance.
- Ability to use Python or Scala for dataset manipulation and enrichment.
- Knowledge of Spark and Kafka.
- Knowledge of AWS, Azure, and GCP data platforms.
- Fluency in French and English is mandatory.
- Willingness to complete technical pair-programming assessments covering algorithms, a programming language, and platforms.
Benefits
- Company car or mobility budget.
- Choice of a MacBook Pro or Dell computer.
- Pluxee meal vouchers and eco-vouchers.
- European mobile phone subscription.
- DKV Hospi health insurance.
- Access to AI tools and certifications through SFEIRâs Anthropic partnership.
- AI Champions program, technical talks, meetups, internal presentations, and individual-contributor career development.
- Work is based at client sites in the Brussels metropolitan area.
Tech Stack
Categories
Data Engineering
About SFEIR
SFEIR provides software engineering and IT consulting, building custom web, mobile, cloud, data, and IoT solutions for enterprises and scale-ups. It operates as a services firm delivering development, DevOps, and machine learning expertise along with platform modernization projects. Founded in 1985 and headquartered in Neuilly-sur-Seine, France, it is privately held and owned by UI Investissement.