The Nestlé Product Technology Centre Coffee (NPTC Coffee) is the leading R&D organization that discovers, develops and deploys coffee and beverage products and technologies for in-home and out-of-home consumption. It consists of units in Konolfingen (CH), Marysville (USA), Orbe (CH) and Singapore and provides new products and processes to all Nestlé markets worldwide.

Our mission – to delight the consumer wherever, whenever, however by delivering moments of genuine pleasure and indulgence - drives the need for us to attract, select and develop the right people for the right jobs throughout the value chain of our business.

Position Snapshot

Act. Rate: Full-Time Act. Rate 100%
Type of contract: Permanent contract

Position Summary

We are looking for a Senior Data Engineer to be responsible for building and maintaining the infrastructure and systems that support the Data & AI product strategy data collection, storage, and analysis at NPTC Coffee. You will drive our long-term data infrastructure vision aligned with Nestlé Global IT strategy for R&D, ensuring scalable, secure, and efficient data pipelines aligned with business goals. By leading the development and maintenance of ETL/ELT processes, you’ll play a vital role in enabling innovative Science & Technology solutions that drive competitive advantage.

A Day in the Life of a Senior Data Engineer

• Develop a comprehensive understanding of end-to-end data flows in R&D (from consumer to factory)
• Implement and deploy data solutions in line with the NTPC Coffee data strategy and project priorities ensuring robustness and efficiency of underlying data pipelines
• Collect, organize, and maintain data to foster a culture of data excellence
• Collaborate with data scientists and functional teams to ensure data quality and facilitate analytics initiatives
• Stay up-to-date with advancements in data & analytics engineering to continuously improve processes
• Contribute to the Science & Technology strategy by delivering tailored data solutions
• Oversee the maintenance of digital solutions to ensure ongoing effectiveness
• Engage in exploratory projects to identify new data sources and methodologies
• Build Dashboard and tools in alignments with data science needs (AI/ML) aligned with Business requirements

What will make you successful

• Background in data engineering or technologies
• Solid experience in data engineering roles
• Understanding of operational setup within various categories
• Proven contribution to major projects across centers, if applicable
• Track record in knowledge management and area expertise updates
• Proficient in collaborating within a diverse environment, engaging with individuals from various backgrounds and areas of expertise, including IT, Data, Data Science, and business partnerships.
• Ability to foster a climate for innovation and knowledge sharing
• Commitment to insourcing research to transform it into bold innovation
• Strong programming expertise, Python, Scala, Apache Spark (R is a plus)
• Proven experience with Databases management (RDBMS, NoSQL). Graph database (RDF, Neo4J)
• Strong communication skills in English; additional languages are a plus

Nestlé is committed to the accessibility of its recruitment process. If you require an adaptation during the recruitment process, please do let us know so we can support you effectively. All information will be treated confidentially.

At Nestlé, we want to help shape a better and healthier world, inspire people to live healthier lives and deliver impact at a scale and pace that makes a difference. We do this by fostering a diverse, friendly, supportive, and collaborative environment, that creates positive disruption, embraces innovation, and empowers people and teams to win. We aim to hire friendly, respectful, inspiring people who care about the people’s lives that we touch every single day.

Be a force for good. Join Nestlé and visit us on www.nestle.com

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