Data Engineer: Scale Data Pipelines & ML-Ready Platforms

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

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.