
10,000+ employees
Founded 1966
🚀 Aerospace
🔒 Cybersecurity
Aerospace • Automotive • Cybersecurity
Expleo Group is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through business transformation, helping them achieve operational excellence and future-proof their businesses. With over 50 years of experience in developing complex products, optimizing manufacturing processes, and ensuring quality, Expleo leverages deep sector knowledge and expertise in AI, digitalization, and cybersecurity to fast-track innovation across the value chain. The organization operates in 29 countries, supported by 18,000 skilled experts dedicated to delivering high-value solutions while committing to integrity and sustainability.
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10,000+ employees
Founded 1966
🚀 Aerospace
🔒 Cybersecurity
Aerospace • Automotive • Cybersecurity
Expleo Group is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through business transformation, helping them achieve operational excellence and future-proof their businesses. With over 50 years of experience in developing complex products, optimizing manufacturing processes, and ensuring quality, Expleo leverages deep sector knowledge and expertise in AI, digitalization, and cybersecurity to fast-track innovation across the value chain. The organization operates in 29 countries, supported by 18,000 skilled experts dedicated to delivering high-value solutions while committing to integrity and sustainability.
• Work as a Data Engineer with a focus on Azure • Design and implement data platforms and solutions utilizing Azure technologies • Ensure data quality and governance in BI environments • Collaborate with other teams to deliver data-driven insights and solutions
• +4 years of experience as Data Engineer • Demonstrated expertise in designing and implementing Azure-native data platform patterns • Extensive experience with Azure Data Lake and lakehouse architectures • Strong background in Azure SQL, advanced SQL-based data modelling, and reconciliation solutions • Proven track record using Azure Data Factory and modern ELT/ETL technologies • Deep understanding of data modelling strategies for multi-tenant SaaS environments • Hands-on experience with billing, invoicing, usage tracking, reconciliation, and commercial data domains • Expertise in developing semantic models and enterprise reporting layers • Strong focus on data quality, validation, governance, and lineage management • Excellent communication skills in English.
• Health insurance • Flexible work arrangements
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