Data & Analytics Engineer

Beschreibung

Deine Rolle im 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. Unsere Erwartungen an dich Ausbildung Degree in Computer Science, Data Engineering, or a related technical field Qualifikationen 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 Erfahrung 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 Essen & Trinken 🍽 Kantine/Betriebsrestaurant Mehr Netto 👴🏻 Betr. Altersvorsorge 🏝️ Urlaubs- und Weihnachtsgeld Work-Life-Integration 🍼 Kinderbetreuung ⏰ Flexible Arbeitszeiten Themen mit denen du dich im Job beschäftigst Cloud Computing AI IIoT Metadaten Level: Erfahren Job Feld: BI, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Industrie, Produktion, Pharma, Chemie, Biotech Ort: Holzminden | 37603 | Deutschland

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