Data Engineer: Build Scalable Pipelines & AI Data

Expleo Group; Herstal; Hybrid; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Hospitalization insurance

Pension plan

Wellbeing program

Meal vouchers

Eco vouchers

Expense allowance

Expleo Academy

32 vacation days

Gift program

Family-friendly policies

Job summary

Expleo Group is seeking a Data Engineer to join a multidisciplinary development team within the Engineering Department. You will design and optimize data pipelines, data architectures, and storage solutions to support engineering and analytics needs, while collaborating with software developers, data scientists, and engineers to ensure scalable, reliable data systems.

The role emphasizes modern tools like Python, SQL, Spark, Docker, and CI/CD, with a focus on data processing, AI applications,

Qualifications

• Master’s degree in Computer Science, Engineering, Informatics, or an equivalent field.
• Solid experience in data engineering with Python, SQL, Spark and Docker for data processing, AI applications and automation.
• Familiar with data engineering and development tools and frameworks such as Jenkins, Jupyter, Superset, Dagster; Kubeflow is a plus.
• Good understanding of databases, data lakes, data warehouses, CI/CD pipelines, and unit testing practices.
• Knowledge of MATLAB unit testing is a plus.
• Interest in opensource and on-premises solutions; ability to stay informed about trends and innovations.
• Comfortable working in a multidisciplinary team and communicating clearly with both technical and nontechnical stakeholders.

Responsibilities

• Designing, developing, deploying, validating, and testing data pipelines and data architectures to support engineering and analytics needs.
• Defining and implementing efficient data architecture and data structures to ensure consistency, scalability, and performance across platforms.
• Setting up, maintaining, and optimizing databases, data lakes, and related storage solutions for structured and unstructured data.
• Developing data pipelines to support the execution of machine learning algorithms and other advanced data processing workflows.
• Managing and improving CI/CD pipelines to automate testing and deployment processes, code quality and development efficiency.
• Collaborating closely with software developers, data scientists, and engineers to ensure data systems meet project and business requirements.
• Contributing to the continuous improvement of development practices, testing strategies, and data engineering standards.

Skills

Python

SQL

Spark

Docker

Jenkins

Jupyter

Superset

Dagster

Kubeflow

CI/CD

Unit testing

MATLAB

Git

DevOps

Data warehousing

Communication

Education

Master’s degree in Computer Science

Specialization in Data Engineering or related discipline

Tools

Jenkins

Jupyter

Superset

Dagster

Kubeflow

Job description

Expleo Group is seeking a Data Engineer to join a multidisciplinary development team within the Engineering Department. You will design and optimize data pipelines, data architectures, and storage solutions to support engineering and analytics needs, while collaborating with software developers, data scientists, and engineers to ensure scalable, reliable data systems.

The role emphasizes modern tools like Python, SQL, Spark, Docker, and CI/CD, with a focus on data processing, AI applications,