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# Data Engineer

- **Company:** Sparagus
- **Location:** Luik, Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Automation of Tests, Unit Testing, C++ (Programming Language), Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Warehousing, Database Applications, Python (Programming Language), MATLAB, Machine Learning, Open Source Technology, Standard Sql, Unstructured Data, Apache Spark, Jupyter, Git, Data Lakes, Kubernetes, Information Technology, Data Analytics, Data Pipelines, Docker, Jenkins
- **Published:** August 2, 2026
- **Apply:** https://www.adzuna.be/details/5825375470

## About the Role

* Master's degree in Computer Science, Engineering, Data Engineering, Informatics or a related field.
 * Around 5 years of experience in Data Engineering or a similar role.
 * Strong analytical and problem-solving skills.
 * Comfortable working in multidisciplinary technical teams.
 * Fluent in English.

Technical Skills

Mandatory

 * Python
 * SQL
 * Spark
 * Docker
 * CI/CD
 * Data Pipelines
 * Data Architecture
 * Databases
 * Data Lakes
 * Data Warehouses

Nice to Have

 * Jenkins
 * Jupyter
 * Dagster
 * Superset
 * Kubeflow
 * Git
 * C/C++
 * Data Analytics
 * Machine Learning
 * Open-source technologies
 * MATLAB unit testing

Soft Skills

 * Strong analytical mindset
 * Attention to detail
 * Autonomous and proactive
 * Team player
 * Excellent communication skills
 * Passionate about innovation and data technologies

## Description

You will contribute to the development of modern data platforms supporting advanced engineering, simulation, analytics and AI projects.

Your Mission

As a Data Engineer, you will design, develop and maintain scalable data infrastructures that support engineering teams and data-driven applications.

You will work closely with software engineers, data scientists and system engineers to build robust data pipelines and optimize data processing workflows.

Responsibilities

 * Design, develop and maintain scalable data pipelines.
 * Build and optimize data architectures for structured and unstructured data.
 * Set up, maintain and optimize databases and data lakes.
 * Develop data pipelines supporting machine learning and advanced analytics.
 * Manage and improve CI/CD pipelines for automated testing and deployment.
 * Ensure data quality, consistency and performance across platforms.
 * Collaborate with software developers, data scientists and engineering teams.
 * Contribute to the continuous improvement of development practices and data infrastructure.
 * Support multiple engineering projects simultaneously.


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