Data Engineer: Build Next-Gen Pipelines & ML Analytics

M; Luik; Sur place; EUR 65 000 - 90 000; Plein temps

Résumé du poste

Médiane Benelux is seeking a Data Engineer to support defense sector projects by designing and maintaining robust data pipelines and storage solutions. You will work across databases, data lakes, and data warehouses, enabling ML and advanced analytics in a collaborative engineering environment.

Join a multidisciplinary team focused on reliable data workflows, testing, and continuous improvement, leveraging tools like Spark, Python, Docker, and Git to deliver high-quality solutions.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

SQL

Spark

Docker

Git

DevOps

C/C++

MATLAB testing

Formation

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

Outils

Jenkins

Jupyter

Superset

Dagster

Kubeflow

Data warehousing

Description du poste

Médiane Benelux is seeking a Data Engineer to support defense sector projects by designing and maintaining robust data pipelines and storage solutions. You will work across databases, data lakes, and data warehouses, enabling ML and advanced analytics in a collaborative engineering environment.

Join a multidisciplinary team focused on reliable data workflows, testing, and continuous improvement, leveraging tools like Spark, Python, Docker, and Git to deliver high-quality solutions.