Data Engineer: Remote-Ready Pipelines & ML

Expleo; Herstal; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hospitalisation and outpatient ins.

Pension and group insurance

Meal and eco vouchers

Monthly representation fees

32 vacation days

Flexible homeworking policy

Expleo Academy

Job summary

Expleo is hiring a Data Engineer to join a multidisciplinary engineering team. You will design and optimize data pipelines and architectures to support analytics and ML workflows, using Python, SQL, Spark, and Docker.

You will maintain data lakes/warehouses and contribute to scalable data solutions across projects. You’ll collaborate with software developers, data scientists, and engineers, improving CI/CD, testing, and data engineering standards while embracing open-source and on-premises

Qualifications

• Master’s degree in Computer Science, Engineering, Informatics, or equivalent.
• Solid experience in data engineering and proficiency in Python, SQL, Spark, and Docker for data processing and automation.
• Familiarity with data tools like Jenkins, Jupyter, Superset, Dagster; Kubeflow is a plus.
• Understanding of databases, data lakes/warehouses, CI/CD pipelines, and unit testing.

Responsibilities

• Design, develop, deploy, validate, and test data pipelines and architectures for engineering and analytics.
• Define efficient data structures to ensure scalability and performance across platforms.
• Set up and optimize databases, data lakes, and storage for structured/unstructured data.
• Develop pipelines for ML algorithms and advanced data processing workflows.
• Manage and improve CI/CD pipelines for testing, deployment, and code quality.
• Collaborate with software developers, data scientists, and engineers to meet requirements.
• Contribute to improving development practices and data engineering standards.

Skills

Python

SQL

Spark

Docker

communication

team collaboration

Education

Master's degree in Computer Science/Engineering/Informatics

Tools

Jenkins

Jupyter

Superset

Dagster

Kubeflow

Git

Bitbucket

Job description

Expleo is hiring a Data Engineer to join a multidisciplinary engineering team. You will design and optimize data pipelines and architectures to support analytics and ML workflows, using Python, SQL, Spark, and Docker.

You will maintain data lakes/warehouses and contribute to scalable data solutions across projects. You’ll collaborate with software developers, data scientists, and engineers, improving CI/CD, testing, and data engineering standards while embracing open-source and on-premises