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Your role in the team
Symrise is embarking on an exciting digital transformation journey. As part of our corporate strategy, we are building a cutting-edge, in-house Data & Analytics Platform designed to drive innovation and empower decision-making across the organization.
We are seeking a curious and driven Data & Analytics Engineer (m/f/d) to play a key role in developing this greenfield platform.
This is your opportunity to make a real impact, working on projects at the intersection of technology and business, including Artificial Intelligence, Industrial Internet-of-Things, Robotic Process Automation, Low Code Platforms, Business Intelligence, and Cloud Web Applications.
In this hands-on, cross-functional role, you will:
- Develop Innovative Data Solutions: Design, implement, and maintain ETL pipelines, data models, and data assets and products to power business-critical applications.
- Integrate and Harmonize Data: Work with diverse source systems to create unified, high-quality datasets, leveraging and enhancing our existing data assets.
- Shape Data Architecture: Collaborate with senior engineers and architects to design scalable and efficient data architectures.
- Collaborate with Experts: Partner with the Digital Transformation & Analytics team, other data engineers, and business domain experts to translate business requirements into impactful solutions.
- Enable Users: Provide training, knowledge-sharing sessions, and documentation to empower business users and ensure smooth platform adoption.
- Ensure Quality: Participate in agile planning, retrospectives, and delivery events, and adhere to best practices like automated testing and version control.
- Resolve Issues: Support technical troubleshooting and incident resolution to maintain seamless operations.
Our expectations of you
Education
- Degree in Computer Science, Data Engineering, or a related technical field.
Qualifications
- Advanced knowledge of programming languages for Databricks on Azure, including Python, PySpark, and Pandas/Polars.
- Solid understanding of data modeling, metadata management, and performance optimization; Prior exposure to advanced analytics and machine learning tools is a plus.
- Familiarity with Infrastructure-as-Code, CI/CD pipelines, and automated testing.
- Fluency in English, both written and verbal.
Experience
- Experience designing and optimizing ETL pipelines for complex datasets.
- Experience with cloud platforms like Azure, GCP, or AWS (Azure preferred).
- Experience with APIs and defining data access for various applications is advantageous.
Benefits
Food & drink
Higher take-home pay
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Symrise AG, based in Holzminden, is a publicly-traded provider of fragrances, flavorings, cosmetic base ingredients and active substances, as well as functional ingredients.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Industry, Production · Pharmaceutical Sector, Chemical Industry, Biotech
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