Senior Data Engineer - Samsung Food

About Samsung Food

At Samsung Food (you might know us as Whisk), we are pioneering the future of everyday care and health — helping individuals and families around the world live better through connected, proactive, and personalized experiences. Our mission is to connect food, health, and home across the Samsung ecosystem, turning data from your devices into personalized guidance that supports you and your loved ones.

We work at the intersection of AI, nutrition, behavior change, and digital health. The Samsung Food app was included in Google Play’s Best of 2020 Everyday Essentials list, has been regularly featured on the Apple App Store, and was nominated for a 2021 Webby Award. We’ve also launched Vision AI, which recognises food and meals using our global Food Genome, and developed deep integrations with Samsung Health and SmartThings.

We are a remote-first team of more than 100 people in over 30 countries, united by our commitment to innovation and impact. As part of Samsung Electronics, we combine the agility of a startup with the scale of the world’s largest consumer electronics company. Join us and help build technology that improves daily life for tens of millions of people across phones, wearables, TVs, and kitchen appliances in the years to come.

Learn more about how we’ve shaped a high-performing global team over the past 14 years.

About the Role

We’re looking for a Senior Data Engineer to join our Data Platform team and help shape the foundations of how data is collected, modeled, governed, and served across Samsung Food .

This is a high-impact senior individual contributor role for someone who enjoys building reliable systems, designing scalable data models, and raising engineering standards across the organization. You’ll work on the core platform that enables analytics, experimentation, product insights, operational use cases, and future intelligent data products.

You’ll thrive in this role if you enjoy combining hands-on engineering with technical leadership: designing robust pipelines, improving platform reliability, guiding modeling standards, and partnering closely with product, analytics, and engineering teams to make data trustworthy and actionable.

What You’ll Do

• Build and evolve our data platform: design, develop, and maintain scalable batch and streaming data pipelines using Python, SQL, ClickHouse, Airflow, Kafka, dbt, and dlt.
• Model data for scale and usability: design clean, well-documented, and sustainable data models using dimensional modeling and Kimball principles, enabling self-serve analytics and consistent business metrics.
• Own transformation workflows: build and maintain transformation layers in dbt, improving testing, documentation, lineage, and reliability across our analytics stack.
• Optimize data storage and query performance: work with ClickHouse to design efficient s