Data Engineer

About Us

Created over 30 years ago and present in over 30 countries, the Group has established itself as a global leader in IT Engineering and Services. We work with major players in the Aeronautics & Space, Defense & Naval, Security, Automotive, Rail, Energy, Life Sciences, Finance, Retail, Telecommunications, and Services sectors. We achieved a turnover of over 4.14 billion euros in 2024 and currently have over 57,700 employees worldwide, including over 13,000 in France.

Job Description

Major industrial environments face significant data challenges:

• Multiplication of information sources (business applications, PLM systems, databases, files, APIs...)
• Heterogeneity of formats and models
• Growing need for reliable, qualified, and up-to-date data
• Necessity for near real-time exchanges between systems

In this context, our teams are involved in setting up modern Data Engineering platforms to industrialize and govern data flows. We are looking for a Data Engineer to actively participate in the design and development of these new data uses.

Your Missions

Integrated into a transverse or business squad, you will contribute to the implementation and evolution of a data platform:

• Design and develop robust and scalable data pipelines
• Implement ingestion flows from various sources: databases, files, APIs, events, etc.
• Structure and transform data according to a medallion architecture: Bronze: collect and store raw data, Silver: qualify, clean, model, Gold: consolidate and expose data products
• Ensure data quality, consistency, and freshness
• Industrialize batch and streaming processes
• Collaborate closely with business teams, architects, and data analysts
• Participate in architectural choices and best practices (performance, security, governance)

Technical Environment

You will work in a modern, data-oriented ecosystem:

• Databases: PostgreSQL
• Streaming / Event processing: Apache Flink, Kafka
• Orchestration: Airflow
• Transformation / Modeling: dbt
• Integration / CDC: Debezium (depending on use case)

Application & PLM Ecosystem: 3DX / Windchill / SAP / R&D tools

Qualifications

Graduated from an engineering school or university (Bac+5), you ideally have:

• At least 3 years of experience in Data Engineering or development with a strong data aptitude
• A good understanding of data quality and modeling issues
• An aptitude for complex systems and industrial environments

Expected Skills

Technical:

• Mastery of SQL and relational databases (PostgreSQL)
• Knowledge or experience with the following technologies: Kafka, Flink, Airflow, dbt
• Understanding of modern data architectures (batch / streaming / event-driven)
• Sensitivity to performance and scalability issues

Behavioral:

• Analytical mindset and rigor
• Ability to work in complex environments and communicate with business stakeholders (engineering and business processes)
• Good interpersonal skills and enjoyment of teamwork in an agile scrum format
• Autonomy and technological curiosity