Data Engineer

Expleo Group; Herstal; Híbrido; EUR 55 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hospitalization insurance

Pension plan

Wellbeing program

Meal vouchers

Eco vouchers

Expense allowance

Expleo Academy

32 vacation days

Gift program

Family-friendly policies

Resumo da oferta

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,

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Spark

Docker

Jenkins

Jupyter

Superset

Dagster

Kubeflow

CI/CD

Unit testing

MATLAB

Git

DevOps

Data warehousing

Communication

Formação académica

Master’s degree in Computer Science

Specialization in Data Engineering or related discipline

Ferramentas

Jenkins

Jupyter

Superset

Dagster

Kubeflow

Descrição da oferta de emprego

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with a global footprint across 30 countries. We are as global and local as you need us to be, with strong best-in-class pan-European technological centers and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

tions from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”.

Responsibilities

As a Data Engineer, you will join a multidisciplinary development team within the Engineering Department.

You will be responsible for:

• 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.

Qualifications

• You hold a Master’s degree in Computer Science, Engineering, Informatics, or an equivalent field, ideally with a specialization in Data Engineering, Data Science, or a related discipline.
• You have solid experience in data engineering and are proficient in Python, SQL, Spark, and Docker, particularly for data processing, AI applications, and automation.
• You are familiar with data engineering and development tools and frameworks such as Jenkins, Jupyter, Superset, and Dagster. Experience with data warehousing and Kubeflow is considered a plus.
• You have a good understanding of databases, data lakes, data warehouses, CI/CD pipelines, and unit testing practices.
• Knowledge of MATLAB unit testing is a plus.
• You have a strong interest in opensource and on-premises solutions and stay informed about the latest trends and innovations in the field.
• You are comfortable working in a multidisciplinary team and can communicate clearly, effectively, and

concisely with both technical and nontechnical stakeholders.

• You demonstrate strong attention to detail and a commitment to technical excellence, quality, and reliability.
• Additional knowledge in software engineering, frontend development, data analytics, C/C++, Git, DevOps, and Bitbucket would be an advantage.

Benefits

At Expleo, we are committed to providing a competitive salary and substantial benefits offering with unique wellbeing, financial and employee recognition programs.

We pride ourselves on our diverse and inclusive culture and offer a variety of family-friendly policies and enhanced leave to help you achieve a healthy work life balance.

By providing significant learning and development opportunities, we encourage individual growth and success throughout your career with us.

• Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges
• We empower all passionate technology-loving professionals by allowing them to expand their skills and take part in inspiring projects
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses
• Enjoy a comprehensive benefits package, including hospitalization and outpatient insurance, a pension and group insurance plan, employee wellbeing initiatives, sports and social events, gifts for special occasions, and much more!
• Enjoy meal and eco vouchers to support your daily needs and sustainable purchases
• Receive monthly representation fees to support work-related expenses
• 32 vacation days (20 + 12 for a 40-hour week). .
• Always working as one team, our people are not afraid to think big and question the status quo.
• Flexible homeworking policy – Balance your career and personal life

Our Commitment to Diversity

"We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or ag"