Inetum
10,000+ employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
💰 Post-IPO Equity on 2007-03
B2B • Enterprise • SaaS
Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.
Data Engineer
🕒 November 4, 2025
🗣️🇪🇸 Spanish Required
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Inetum
10,000+ employees
🤝 B2B
🏢 Enterprise
☁️ SaaS
💰 Post-IPO Equity on 2007-03
B2B • Enterprise • SaaS
Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.
📋 Description
• Develop and maintain data pipelines and ETL processes. • Collaborate with data teams to ensure the accuracy and availability of data. • Work on project-based tasks utilizing the Modern Data Stack. • Support production environments and troubleshoot issues as they arise.
🎯 Requirements
• 3-5 years of professional experience in data engineering or ETL development roles. • Demonstrable experience working in both development and production support capacities. • Required: Hands-on expertise with Snowflake and Azure Data Factory (ADF). • Preferred: Experience with Control-M for job orchestration and Azure Pipelines for CI/CD. • Required: Advanced proficiency in SQL and Python. • Highly Desirable: Experience working with ITSM tools (ServiceNow) and SDLC platforms (Azure DevOps). • Required: Advanced English proficiency (both written and verbal).
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