Data Engineer

Médiane Benelux: Career Booster!

Since 2017, and with over 35 years of experience in France and Italy, Médiane Benelux is an engineering company specializing in software, electronics, and cybersecurity across key sectors such as Railways, Automotive, Energy, Medical, Aerospace, Space, Telecoms, Industry, and Defense.

🌐 What We Offer

• IT consulting and strategy
• Digital transformation and IoT solutions
• Project management and process optimization

🔧 As specialists in electronics, development, and embedded systems design, we operate from sensor to cloud.

Why choose Médiane Benelux?

• Human-sized company: Promotes teamwork and collaboration in a dynamic and stimulating environment
• Sharp technical expertise and tailored solutions for each sector
• Talent support: Personalized follow-up, continuous training, and skill development for our employees
• Custom solutions tailored to the specific needs of each client
• Culture of innovation: Participation in innovative and varied projects
• Ecovadis Gold certification: Commitment to equality, well-being, and responsibility
• Human values: Commitment, Respect, Trust, Listening

"Happy at Work" and "Happy Clients" labels by Choose my Company: A fulfilling work environment and optimal client satisfaction

Job Description

For one of our clients active in the defense sector, we are looking for a Data Engineer to support advanced engineering and production projects.

Responsibilities

Design, build and maintain data pipelines and data architectures

Set up and optimize databases, data lakes and data storage solutions

Develop data pipelines supporting machine learning and advanced analytics

Manage and improve CI/CD pipelines

Ensure testing, validation and reliability of data workflows

Collaborate with software developers, data scientists and engineering teams

Contribute to data engineering standards and continuous improvement initiatives

Profile / Requirements

Master's degree in Computer Science, Engineering, Data Engineering, Data Science or equivalent

Solid experience in Data Engineering

Strong knowledge of Python, SQL, Spark and Docker

Good understanding of databases, data lakes, data warehouses and CI/CD

Experience with tools such as Jenkins, Jupyter, Superset and Dagster

Knowledge of Kubeflow or data warehousing solutions is a plus

Good understanding of unit testing

Knowledge of Git, DevOps, C/C++, Bitbucket or MATLAB testing is an advantage

Strong analytical mindset, attention to detail and quality-oriented approach

Comfortable working in multidisciplinary technical environments

Benefits

Attractive salary package, additional legal days off, mobility package (transport or car), DKV, Group Insurance, Meal vouchers, Eco vouchers, Training opportunities.