Senior Data Engineer Consultant

📋 Description

• Lead client engagements and design data engineering solutions from strategy to execution.
• Build robust, scalable data pipelines and architectures for large data volumes.
• Design cloud data solutions on AWS/Azure/GCP and use distributed frameworks (Spark, Kafka).
• Develop logical/physical data models for relational, NoSQL, time-series, and graph databases.
• Implement batch, streaming, and real-time data integration patterns across data sources.
• Drive DataOps and CI/CD for data services, maintaining reliability and automation.

🎯 Requirements

• Master's degree in Data Science, Econometrics, Applied Math, CS, or related field with substantial
• Experience with Databricks, Snowflake, Azure; 3-6 years of relevant work or research.
• Strong analytical, communication, and stakeholder management skills.
• Fast learner with entrepreneurial drive and ability to translate complexity for varied audiences.
• Interest in data/AI topics and capability to rapidly build expertise for client opportunities.
• Fluency in English; French fluency is a must.

🎁 Benefits

• Competitive salary package with annual increases, bonuses, and mobility options.
• Tailored training and development to become a field expert.
• Flexible working arrangements (office/home/client sites) and international projects.
• Collaborative global environment with growth and knowledge sharing.