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Senior Data Engineer

Whisk · Remote · Active · BambooHR

Job facts

FieldValue
CompanyWhisk
TitleSenior Data Engineer
Normalized title-
Department / teamEngineering
LocationPoland
Work modelRemote / Remote
Employment typeContract
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-04-09 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Whisk.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWhisk
Sourceffda4301-92a9-43d2-ba72-1339fdc91182
ATS providerBambooHR

Description

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 schemas, improve performance, and ensure cost-effective access to high-volume datasets. Improve platform reliability and operability: strengthen orchestration, observability, data quality, 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 quality, ownership, lineage, 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 scalable technical solutions. Lead through expertise: contribute to architecture decisions, mentor other engineers, raise 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 track 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, code quality, 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 quality processes. Deep hands-on expertise in Python and SQL as core data engineering languages. Proven experience with workflow orchestration tools such as Airflow. Strong experience designing and optimizing analytical data stores, ideally including ClickHouse or similar columnar databases. Practical experience with dbt and modern ELT patterns, including testing, documentation, and modular 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 dimensional modeling and Kimball methodology. Ability to balance speed and quality, making thoughtful technical decisions 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 mindset: you identify problems, propose improvements, and follow through to completion. Nice to Have Experience with cloud environments. (We use GCP) Experience building platforms that support both analytics and operational or product-facing use cases. Familiarity with data quality 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. Good understanding of data governance principles, including data quality, metadata, lineage, ownership, and discoverability. Culture Fit You enjoy working in an environment where standards are high, context is rich, and there is real opportunity to shape the platform rather than just maintain it. You are pragmatic and thoughtful — you know when to build for scale, when to simplify, and how to keep systems useful for the people who depend on them. You value ownership, clarity, 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 evolve inside a fast-growing, product-led company. Why This Role This is an opportunity to help define the next generation of data foundations at Samsung Food. You’ll work on meaningful technical problems with direct impact on product quality, decision-making, and future 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 scale, we’d love to hear from you.

Full job record

Job IDf2e82204341bc77cd58e5da877e612c65ebe3ff4
Org ID5b26c200-ac94-47b4-a744-b8bd3d0d9f99
Source IDffda4301-92a9-43d2-ba72-1339fdc91182
Board IDffda4301-92a9-43d2-ba72-1339fdc91182
Providerbamboohr
Provider Job Key154
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentEngineering
Team
Employment Typecontract
Workplace Typeremote
Remote Policyremote
CountryPoland
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://whisk.bamboohr.com/careers/154
Apply URLhttps://whisk.bamboohr.com/careers/154
First Seen At2026-05-30 06:12:28Z
Last Seen At2026-06-06 10:21:09Z
Last Checked At2026-06-06 10:21:09Z
Last Changed At2026-05-30 06:12:28Z
Inactive At
Source Posted At2026-04-09 00:00:00Z
Source Updated At
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Event Fields
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Extensions
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    "description": "<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">About Samsung Food</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><a href=\"https://samsungfood.com/working-at-samsung-food/\" target=\"_blank\" rel=\"noopener noreferrer\">Learn</a> more about how we’ve shaped a high-performing global team over the past 14 years.</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">About the Role</span><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">We’re looking for a <span style=\"font-weight: bold\">Senior Data Engineer</span> to join our Data Platform team and help shape the foundations of how data is collected, modeled, governed, and served across Samsung Food.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">What You’ll Do</span><br></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Own transformation workflows: build and maintain transformation layers in dbt, improving testing, documentation, lineage, and reliability across our analytics stack.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Optimize data storage and query performance: work with ClickHouse to design efficient schemas, improve performance, and ensure cost-effective access to high-volume datasets.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Improve platform reliability and operability: strengthen orchestration, observability, data quality, and failure recovery across pipelines and services running in Kubernetes.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Drive engineering standards: establish best practices for data development, testing, deployment, versioning, and monitoring across the platform.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Champion data governance: help define and implement data governance principles, including data quality, ownership, lineage, consistency, and documentation.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Partner across teams: work closely with product managers, analysts, data consumers, and software engineers to understand business needs and translate them into scalable technical solutions.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Lead through expertise: contribute to architecture decisions, mentor other engineers, raise the technical bar, and influence how data engineering is practiced across Samsung Food.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">What You Bring</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong (4+ years) experience in data engineering, with a track record of building and operating production-grade data platforms in modern product or technology environments.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience using AI-assisted development tools to improve engineering efficiency, code quality, and delivery speed in a practical, secure, and maintainable way.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Interest in or experience with designing, integrating, or deploying AI agents/internal automation tools to support engineering workflows, platform operations, or data quality processes.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Deep hands-on expertise in Python and SQL as core data engineering languages.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Proven experience with workflow orchestration tools such as Airflow.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong experience designing and optimizing analytical data stores, ideally including ClickHouse or similar columnar databases.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Practical experience with dbt and modern ELT patterns, including testing, documentation, and modular transformation design.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience working with event-driven or streaming architectures using Kafka.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience deploying and operating data workloads in Kubernetes-based environments.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong knowledge of data modeling, especially dimensional modeling and Kimball methodology.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Ability to balance speed and quality, making thoughtful technical decisions in a fast-moving environment.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong communication and collaboration skills, with the ability to work effectively across functions and time zones.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">A proactive, ownership-driven mindset: you identify problems, propose improvements, and follow through to completion.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Nice to Have</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with cloud environments. (We use GCP)</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience building platforms that support both analytics and operational or product-facing use cases.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Familiarity with data quality frameworks, observability tooling, and CI/CD practices for data systems.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience working in consumer products, health, food-tech, or personalization-heavy environments.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience mentoring engineers and helping teams adopt stronger data engineering practices.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Good understanding of data governance principles, including data quality, metadata, lineage, ownership, and discoverability.</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Culture Fit</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">You enjoy working in an environment where standards are high, context is rich, and there is real opportunity to shape the platform rather than just maintain it.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">You are pragmatic and thoughtful — you know when to build for scale, when to simplify, and how to keep systems useful for the people who depend on them.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">You value ownership, clarity, and collaboration, and you care deeply about building reliable systems that others can trust.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">You are comfortable with ambiguity and excited by the chance to help define how a modern data platform should evolve inside a fast-growing, product-led company.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Why This Role</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">This is an opportunity to help define the next generation of data foundations at Samsung Food. You’ll work on meaningful technical problems with direct impact on product quality, decision-making, and future innovation across the Samsung ecosystem.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">If you’re a senior data engineer who loves building robust platforms, shaping standards, and making data genuinely useful at scale, we’d love to hear from you.</span></p>",
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