Data engineer

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

• Design, develop, and maintain high-performance data pipelines and data integration processes.
• Build and optimize scalable solutions for handling large volumes of data.
• Implement data models and data warehousing solutions following industry best practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Contribute to CI/CD processes and promote automation across the data platform.
• Troubleshoot and resolve complex technical challenges while ensuring data quality and reliability.
• Participate in code reviews and follow software engineering best practices.

• Solid experience with Data Warehouse concepts, including Data Vault 2.0 and Kimball methodologies.
• Strong development experience with Python and SQL.
• Hands-on experience using Git for version control.
• Proven experience designing and implementing performant data pipelines for large-scale datasets.
• Good understanding of CI/CD principles and deployment practices.
• Ability to work independently, take ownership, and proactively solve technical problems.
• Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.

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