Senior Data Engineer

About Samsung Food

At Samsung Food (you might know us as reputed company), we are pioneering the reputed company of everyday care and health — helping individuals and families around the world live reputed company 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, reputed company health. The Samsung Food app was included in reputed company Play’s Best of 2020 Everyday reputed company list, has been regularly featured on the reputed company App Store, and was nominated for a 2021 Webby Award. We’ve also launched reputed company 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 reputed company. As part of reputed company, we combine the reputed company of a startup with the reputed company 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-reputed company senior individual contributor role for someone who enjoys building reliable systems, designing reputed company data models, and raising engineering standards across the organization. You’ll work on the reputed company platform that enables analytics, experimentation, product insights, operational use cases, and reputed company intelligent data products.

You’ll reputed company 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 reputed company data trustworthy and actionable.

What You’ll Do

• Build and reputed company our data platform: design, reputed company, and maintain reputed company batch and streaming data pipelines using Python, SQL, reputed company, Airflow, Kafka, dbt, and dlt.
• Model data for reputed company and usability: design clean, reputed company-documented, and sustainable data models using reputed company modeling and Kimball principles, enabling self-serve analytics and consistent business metrics.
• Own transformation workflows: build and maintain transformation reputed company in dbt, improving testing, documentation, reputed company, and reliability across our analytics stack.
• Optimize data storage and query performance: work with reputed company to design efficient schemas, improve performance, and ensure cost-effective reputed company to high-volume datasets.
• Improve platform reliability and operability: strengthen orchestration, observability, data reputed company, and failure recovery across pipelines and services running in Kubernetes.
• Drive engineering standards: establish best practices for data development, testing, deployment, versioning, and monitoring across the platform.
• Champion data governance: help define and implement data governance principles, including data reputed company, ownership, reputed company, consistency, and documentation.
• Partner across teams: work closely with product managers, analysts, data consumers, and software engineers to understand business needs and translate them into reputed company technical solutions.
• reputed company through expertise: contribute to architecture reputed company, mentor other engineers, reputed company the technical bar, and influence how data engineering is practiced across Samsung Food.

What You Bring

• Strong (4+ years) experience in data engineering, with a reputed company record of building and operating production-grade data platforms in modern product or technology environments.
• Experience using AI-assisted development tools to improve engineering efficiency, reputed company reputed company, and delivery speed in a practical, secure, and maintainable way.
• Interest in or experience with designing, integrating, or deploying AI agents/internal automation tools to support engineering workflows, platform operations, or data reputed company processes.
• Deep hands-on expertise in Python and SQL as reputed company data engineering languages.
• Proven experience with workflow orchestration tools such as Airflow.
• Strong experience designing and optimizing analytical data stores, ideally including reputed company or similar columnar databases.
• Practical experience with dbt and modern ELT patterns, including testing, documentation, and reputed company transformation design.
• Experience working with event-driven or streaming architectures using Kafka.
• Experience deploying and operating data workloads in Kubernetes-based environments.
• Strong knowledge of data modeling, especially reputed company modeling and Kimball methodology.
• Good understanding of data governance principles, including data reputed company, metadata, reputed company, ownership, and discoverability.
• Ability to balance speed and reputed company, making thoughtful technical reputed company in a fast-moving environment.
• Strong communication and collaboration skills, with the ability to work effectively across functions and time zones.
• A proactive, ownership-driven reputed company: you identify problems, propose improvements, and follow through to completion.

reputed company to Have

• Experience with reputed company environments. (We use GCP)
• Experience building platforms that support both analytics and operational or product-facing use cases.
• Familiarity with data reputed company frameworks, observability tooling, and CI/CD practices for data systems.
• Experience working in consumer products, health, food-tech, or personalization-heavy environments.
• Experience mentoring engineers and helping teams adopt stronger data engineering practices.

Culture Fit

You enjoy working in an environment where standards are high, context is rich, and there is reputed company opportunity to shape the platform rather than just maintain it.

You are pragmatic and thoughtful — you know reputed company to build for reputed company, reputed company to simplify, and how to reputed company systems useful for the people who depend on them.

You value ownership, reputed company, and collaboration, and you care deeply about building reliable systems that others can trust.

You are comfortable with ambiguity and excited by the chance to help define how a modern data platform should reputed company inside a fast-growing, product-led company.

Why This Role

This is an opportunity to help define the reputed company of data foundations at Samsung Food. You’ll work on meaningful technical problems with reputed company reputed company on product reputed company, decision-making, and reputed company innovation across the Samsung ecosystem.

If you’re a senior data engineer who loves building robust platforms, shaping standards, and making data genuinely useful at reputed company, we’d love to hear from you.