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Do you thrive on supporting complex data solutions that drive business success? Are you ready with our data engineers to elevate data integration, storage and services to new heights shaping the future of advanced materials? To push further the creation of value thanks to data & AI? If yes, you are the one we are looking for.
About Syensqo
Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come that do data & AI supporting our business.
Role Overview Syensqo is building a next-generation enterprise data platform on Microsoft Azure to enable scalable, real-time, and AI-driven analytics across the organization. We are seeking experienced Data Engineering experts to design, develop, and optimize this cloud-native ecosystem. The role involves integrating data from multiple enterprise systems, establishing robust and automated data pipelines, implementing strong governance and security frameworks, and delivering high-quality, analytics-ready datasets. The ideal candidate will bring deep technical expertise, a proactive mindset, and the ability to build reliable, enterprise-grade data solutions at scale. The platform will support cross-functional analytics across key business domains such as Sales, Industrial, R&I, HR, Finance and Operations enabling advanced analytics and AI-driven insights.
Key responsibilities:
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Participate in building new IT capacities for the business.
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Develop, monitor and maintain scalable data pipelines and platforms in production.
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Respond to and resolve incident tickets related to data operations.
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Optimize operational processes for efficiency and reliability.
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Collaborate with the data team and its stakeholders to ensure data quality and availability.
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Document operational procedures and incident resolutions.
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