Data Engineer (H/F)

About the Position

Data Engineer (H/F)

• Full-time

Description of the Company

Inetum is a European leader in digital services. With 26,000 consultants and specialists, the group works daily to create a tangible digital impact for businesses, public actors, and society as a whole. Present in 19 countries, Inetum supports organizations in their digital transformation challenges with proximity, flexibility, and responsibility. Driven by its purpose, Inetum advocates for a useful and controlled technology, capable of revealing the full potential of organizations and society: "Let’s make tech right."

In 2025, the group achieved a turnover of 2.2 billion euros.

More information on: www.inetum.com

Responsibilities

As part of the development of our Data activities, we are looking for a Data Engineer with at least 3 years of experience to support our clients in the design, development, and industrialization of their data flows.

You will work in various environments where the issues of reliability, performance, quality, and data valorization are central.

💻 Your missions:

• Design, develop, and maintain ETL/ELT flows and data pipelines;
• Ensure the extraction, transformation, and loading of data from multiple sources;
• Participate in the design and evolution of data processing and integration architectures;
• Industrialize and orchestrate various data treatments;
• Guarantee the quality, coherence, and reliability of data;
• Optimize the performance of existing flows and treatments;
• Analyze needs and translate them into appropriate technical solutions;
• Participate in testing, acceptance, deployment, and maintenance phases;
• Document treatments, flows, and best practices;
• Collaborate with Data, BI, business, and architecture teams.

Requirements

🛠️ Technical environment:

We are primarily looking for a good mastery of data integration issues, including:

• ETL/ELT: Talend, Informatica PowerCenter, DataStage, Apache NiFi, or equivalent technologies;
• Databases: SQL and relational databases;
• Design and optimization of data pipelines;
• Data modeling and transformation;
• Versioning tools: Git;
• Knowledge of Python is appreciated;
• Experience in Cloud, Data Warehouse, or Data Lake environments is also a plus.

👤 Your profile:

• You hold a higher education degree in computer science, Data, or equivalent;
• You have a minimum of 3 years of experience in Data Engineering, ideally on projects with a strong ETL component;
• You master at least one ETL/ELT tool and are comfortable with SQL;
• You have already worked on issues of data ingestion, transformation, and industrialization;
• You know how to work on complex data flows and intervene throughout their lifecycle;
• You appreciate evolving technical environments and collaborative work with different teams.

Additional Information

🌟 Why join us?

By joining Inetum, you will have the opportunity to work on diverse Data projects with major clients and evolve in varied technical environments.

You will be able to develop your expertise in Data Engineering, Data architectures, and data integration solutions, while being supported in your professional journey.

Want to put your Data and ETL expertise at the service of new projects? Join us!

I am interested

Privacy Notice

I am interested
Recommend a friend

Share this job