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Data and analytics engineer

Holzminden
Symrise
Ingenieur
Inserat online seit: Veröffentlicht vor 17 Std.
Beschreibung

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.

Why Symrise?

1. Be at the forefront of our data-driven transformation, building solutions that directly impact business decisions and drive innovation
2. Join a company that invests in its employees and offers opportunities for continuous learning and career advancement. Work alongside talented professionals in a collaborative and supportive environment
3. Work with modern technologies like Azure Databricks and contribute to the development of AI-powered solutions
4. Be part of a global company with a diverse and inclusive culture, working on projects that have global reach
5. Live and work in the vibrant city of Barcelona, a hub of innovation and technology
6. Contribute to the growth of our Data & AI Hub in Barcelona, shaping its future and direction

Your role

Join Symrise as a Data Engineer in Barcelona and play a pivotal role in shaping the future of our data landscape. You'll be instrumental in building a modern, scalable data platform on Azure Databricks, with strong support from our executive leadership. This is more than just a job; it's a chance to be a key player in our digital transformation, directly impacting strategic initiatives and high-value use cases across the company.

As part of our dynamic Data & AI Hub, you'll collaborate within Agile Scrum teams, utilizing methodologies like daily stand-ups, retrospectives, and demos, and deploying solutions through GitHub CI/CD pipelines. You'll be at the forefront of developing robust ETL processes, constructing unified cross-functional data assets, and creating data-driven products that power advanced analytics, AI applications (including exciting projects likeand), IoT solutions, RPA workflows, and cloud-based platforms. This role offers a unique opportunity to bridge business expertise from our Sensory and Consumer domains with our global Data Engineering practice, fostering innovation and driving tangible business value.

Your Key Responsibilities

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

What You Bring to the team

12. 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
13. 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
14. Excellent communication and collaboration skills, with the ability to thrive in cross-functional environments and work effectively with both local and global teams
15. A passion for staying current with industry trends, emerging technologies, and best practices in data engineering, DataOps and automated testing

Nice to Have

16. Experience with cloud platforms such as Azure, AWS, or GCP
17. Familiarity with SAP data integration and environments
18. Data modeling expertise using methodologies like Kimball or Data Vault 2.0

Our offer

At Symrise, we value our people and provide a supportive and flexible work environment. You can expect:

19. A competitive salary package aligned with your experience and qualifications

20. Private health insurance for your well-being and peace of mind

21. Life insurance coverage

22. Meal allowance throughTicket Restaurant

23. A hybrid working model that supports work-life balance (2 days in the office per week)

24. A modern, collaborative workspace in our new Tech, Data & AI Hub located in vibrant Poblenou (Barcelona)

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