Lingaro
1001 - 5000 employees
Founded 2008
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
Data Engineer, Azure
🔥 0 minutes ago
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Lingaro
1001 - 5000 employees
Founded 2008
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.
📋 Description
• Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. • Integrating and transforming data to ensure its compatibility with the target data model or format
🎯 Requirements
• 4-6 years of professional experience in a similar role. • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders. • Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps). • Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus. • Independence and responsibility in delivering solutions. • Ability to work under agile methodologies. • Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)
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