Data Engineer

VeroTech; Luik; Hybride; EUR 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

Company car

Monthly net allowances

Yearly bonus

Insurance

Meal vouchers

Eco-cheques

Hybrid work options

Résumé du poste

VeroTech is seeking a Data Engineer to design, build, and scale data infrastructure that supports engineering, analytics and operations. You will work within a multidisciplinary team to deliver robust data platforms, enabling advanced analytics and ML initiatives across multiple sectors.

You will collaborate with software developers, data scientists, and engineers to deliver high-performance data solutions, optimize data lakes, and contribute to testing and deployment processes.

Qualifications

• Master’s degree in Computer Science, Engineering, Informatics, or equivalent.
• Solid experience in data engineering with a focus on data pipelines.
• Proficiency in Python, SQL, Spark, and Docker for data processing and automation.

Responsabilités

• Design, develop, and deploy scalable data pipelines and architectures.
• Build and maintain data platforms, ensuring availability and performance.
• Manage databases, data lakes, and storage for structured and unstructured data.
• Enable ML and analytics initiatives through efficient data workflows.
• Improve CI/CD processes via automated testing and deployment
• Collaborate with software developers, data scientists and engineers to deliver data solutions.

Connaissances

Python

SQL

Spark

Docker

CI/CD

Jenkins

Jupyter

Dagster

Kubeflow

Data warehouses

Open source

Communication

English

French

Formation

Master’s degree in Computer Science/Engineering or related

Outils

Jenkins

Jupyter

Superset

Dagster

Kubeflow

Description du poste

Join VeroTech as a Data Engineer and become part of our community where innovation and people come first. You’ll take on exciting technical challenges and develop your expertise while creating solutions that drive progress across several industries.

About The Role

As a Data Engineer, you will play a key role in building and scaling the data infrastructure that supports our engineering, analytics, and operational activities. Working within a multidisciplinary development team, you will design and maintain robust data platforms, enable advanced analytics and machine learning initiatives, and help drive data-informed decision-making across the organization.

You will collaborate closely with software developers, data scientists, and engineering teams to deliver reliable, high-performance data solutions that contribute directly to the development and performance of our innovative rocket systems.

Key responsibilities

• Design, develop, and deploy scalable data pipelines and architectures that support engineering, analytics, and operational use cases.
• Build and maintain reliable data platforms, ensuring data availability, consistency, scalability, and performance.
• Manage and optimize databases, data lakes, and storage solutions for both structured and unstructured data.
• Enable machine learning and advanced analytics initiatives through efficient data processing workflows and integrations.
• Improve CI/CD processes by automating testing, deployment, and quality controls to enhance development efficiency and reliability.
• Partner with software developers, data scientists, and engineers to deliver data solutions that meet business and project needs.
• Contribute to the continuous improvement of data engineering standards, development practices, and testing strategies.

What we're looking for

We are looking for a data engineer with solid technical foundations, a collaborative mindset, and a strong focus on quality and reliability. You should combine data engineering experience with the ability to work confidently in a multidisciplinary environment.

• You hold a Master’s degree in Computer Science, Engineering, Informatics, or an equivalent field, ideally with a specialisation in Data Engineering, Data Science, or a related discipline
• You have a solid experience in data engineering
• You are proficient in Python, SQL, Spark, and Docker, especially for data processing, AI applications, and automation
• You are familiar with Jenkins, Jupyter, Superset, and Dagster; experience with data warehousing and Kubeflow is a plus
• You understand databases, data lakes, data warehouses, CI/CD pipelines, and unit testing; knowledge of MATLAB unit testing is a plus
• You have a strong interest in open source and on-premises solutions and keep up with trends and innovations in the field
• You communicate clearly and work well in a multidisciplinary team, with both technical and non-technical stakeholders, and you bring strong attention to detail and a commitment to technical excellence, quality, and reliability
• Additional knowledge of software engineering, frontend development, data analytics, C/C++, Git, DevOps, and Bitbucket would be an advantage
• Fluent in French and English

At VeroTech, you’re part of a real community where engineers grow and thrive together while working on cutting-edge projects in several sectors, enjoying flexibility and true support from colleagues. We offer personalized career development tailored to your ambitions, hybrid work options, and a strong focus on learning and growth. You’ll enjoy regular teambuilding activities in a collaborative environment, along with a broad salary package that includes a company car, monthly net allowances, a yearly bonus, insurances, meal vouchers and eco-cheques.

More than just shaping technology, at VeroTech we’re shaping the future. Are you ready to shape yours?

Ready to inspire?