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.
Project Context:
We are looking for a Microsoft Fabric Data Engineer (7+ years in that space) to lead the design and development of a scalable, cloud-native data platform on Microsoft Azure. The role involves integrating data from multiple enterprise systems including SAP BW, SAP HANA, Labware, ELN, Salesforce, and others to build a unified and intelligent enterprise data ecosystem.
The data to be processed spans diverse business domains such as Sales, R&I, HR, and finance, enabling cross-functional analytics and AI-driven insights across the organization.
The Data Engineer will own the complete lifecycle of data ingestion, transformation, and modeling — building robust, containerized, and automated pipelines using Azure Functions, Docker Containers, MS Fabric, and Kafka. This position requires a proactive mindset, strong technical depth, and the ability to deliver reliable, high-quality data solutions independently.
Goals and Deliverables:
The primary objective is to create a unified and governed Azure-based data ecosystem that enables real-time, scalable, and trusted analytics across multiple business domains.
Key Goals and Deliverables
End-to-End Data Integration:
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Design and implement automated data pipelines integrating 10+ enterprise systems (SAP BW, SAP HANA, Labware, ELN, Salesforce, etc.) using Azure Functions, Docker Containers, and MS Fabric.
Data Modeling and Transformation:
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Develop efficient data models across diverse domains — sales, operations, HR, customers, materials, and finance — to support analytics and AI-driven insights.
Governance, Security, and Performance:
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Implement strong data governance frameworks, ensure data lineage and access control, and optimize pipeline performance using Azure-native capabilities.
AI and Analytics Enablement:
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Deliver clean, structured, and enriched datasets ready for consumption by BI and AI/ML models for advanced analytics and KPI prediction.
Documentation and Knowledge Transfer:
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Prepare technical documentation, architecture diagrams, and conduct handover sessions to ensure long-term sustainability and scalability.
Expected Skills and Expertise:
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Microsoft Fabric (MS Fabric)
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Python
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SQL
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Azure Functions
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Apache Kafka
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Docker Containers
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Data Modeling (Dimensional & Relational)
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Multi-Source Data Integration (SAP BW, SAP HANA, Labware, ELN, Salesforce, etc.)
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Event-Driven Architecture and Real-Time Data Processing
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Data Governance and Security
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CI/CD and GitHub
Ideal Candidate Profile:
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Proven experience in Azure Data Engineering and cloud-native data architectures.
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Expertise with MS Fabric, Azure Functions, Kafka, and Docker Containers.
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Solid understanding of data modeling, ETL/ELT processes, and performance tuning.
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Familiarity with SAP BW, SAP DataSphere and SAP ERP data structures for effective source system integration.
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Strong sense of ownership, with the ability to work independently and deliver end-to-end solutions.
About us
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Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
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At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.
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