About us
Symrise is a global leader in fragrances, flavors, food, nutrition, and cosmetic ingredients, with a strong commitment to digital transformation. We partner with the world’s leading manufacturers to develop products that enhance everyday life, from perfumes and cosmetics to food, beverages, and pharmaceuticals. With a global presence and a focus on sustainable growth, Symrise is dedicated to innovation and creating a better future. At Symrise, economic success and corporate responsibility are inextricably linked.

• Design, build, and manage robust data pipelines and data products to support analytics, reporting, data collection, and web applications
• Collaborate with diverse teams, including data scientists, analysts, product owners, and business stakeholders, to gather requirements, define roadmaps, and deliver impactful data solutions
• Ensure data accuracy, consistency, and quality by implementing data quality controls and monitoring mechanisms
• Contribute to the development of our Unified Cross-Functional Data Assets, working with key domains like Consumer, Samples, Research & Technology, Innovation, Procurement, and Sustainability
• Actively participate in the full software development lifecycle, from ideation and user story prioritization to deployment and operation

What You Bring to the team

• Strong hands-on skills in Azure Databricks, Python and SQL, with proven experience in developing ETL pipelines, data models, and optimizing Apache Spark workloads. A solid understanding of concepts like shuffle, spill, and broadcast joins is highly desirable
• A curious, analytical, and proactive approach to problem-solving, with a strong desire to grow into a senior engineering role and contribute to cutting-edge projects
• Excellent communication and collaboration skills, with the ability to thrive in cross-functional environments and work effectively with both local and global teams
• A passion for staying current with industry trends, emerging technologies, and best practices in data engineering, DataOps and automated testing