For the Data Analytics and AI business line, we are looking for a motivated Data Engineer, with experience in the implementation of complex distributed IT environments processing or integrating large amounts of data. That is competencies in big data technologies such as Apache Spark, MPP, relational databases and data architecture. Ideal candidate should have experience of cloud infrastructure (Azure, AWS, or GCP) and devops knowledge.

• You will work with business and software engineering teams to design and build modern/agile data integration platforms from the ground up, driven by concrete business use cases.
• You will participate to teams through the end-to-end project lifecycle, covering the initial conception, business requirements, software architecture, implementation, and flawless delivery. You will be acting as an experienced professional and as a coach for the more junior team members.
• You work with business analysts and data scientists to understand and implement their use cases.
• You will support pre-sales on tender responses, proof-of-concept work, and the design of modern/agile data integration platforms, both on premise and in the cloud
• You will participate to group-wide thought leadership initiatives to advance our data & integration platform practice and sustain our technical excellence.

• A dynamic working environment with a young and highly motivated team
• Diverse opportunities to expand your knowledge and experience by working on a wide range of exciting projects, clients and technologies
• Attractive prospects for career and personal development through training and coaching
• A flat hierarchy and a culture of collaboration across all disciplines
• The chance to make a difference in people's lives by building great software
• Attractive perspectives for further professional and personal development with various internal career paths
• Work-life balance (41 hrs/wk in flexitime, possibility for home office, min. 25 days of holidays), ergonomic and flexible workplace in a multicultural environment
• Interesting benefits such as: Contribution to existing mobile phone or business mobile phone, 1/2- tax subscription and business travel by train with 1st class, attractive pension fund models, assumption of NBU (private, worldwide), sickness benefit insurance as well as fleet discount.

• 4+ years of experience in designing and implementing data platforms.
• Expert in data engineering, covering data collection, preparation/transformation, and serving to end users.
• Strong SQL expertise is required.
• Strong knowledge of Agile methodologies, DevOps and tooling for CI/CD pipelines, automation, infrastructure as code, automated testing, code quality
• Experience with one of the Hyperscaler Clouds (AWS, GCP, Azure), with Snowflake or Databricks. A certification on one of those is a big plus.
• Knowledge of data federation, data mesh and data product concepts.
• Good understanding of distributed systems, real-time vs. (micro-)batch processing and related design principles and patterns
• Good communication skills, fluent in French, and in English