{"schemaVersion":"jobsearcher.job.v1","id":"bafbf4b1677bd73cd6a2041e","url":"https://jobsearcher.com/jobs/bafbf4b1677bd73cd6a2041e","canonicalUrl":"https://jobsearcher.com/jobs/bafbf4b1677bd73cd6a2041e","title":"Data Engineer","description":"Join our Movement and Champion Restaurant Culture!\r\nAt TheFork we believe that the best things in life happen around the table. As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world's favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.\r\nWe're part of the Tripadvisor Group and proud to be building a diverse, people-first culture where \"respect\", \"ownership\", \"growth\" and \"better together\" values thrive.\r\nIf you're passionate about food, technology, and making a real impact, your seat at the table is ready.\r\nDiscover life at TheFork\r\nAbout the Role\r\nWe are looking for a Data Engineer to join our Core Data team as we transform TheFork's data capabilities through the implementation of a modern, self-service Data Platform (DPaaS).\r\nIn this role, you will design and build end-to-end data pipelines and contribute to evolving a platform that enables domain teams to autonomously produce and consume trusted data products.\r\nYou will apply strong software engineering principles to data engineering, collaborate closely with platform stakeholders, and support the shift from a centralized BI model to a federated, domain-oriented data ecosystem.\r\nKey Responsibilities\r\nTechnical Contribution & Delivery\r\nDesign and implement high-quality, production-ready data pipelines following software engineering best practices (version control, CI/CD, testing, observability).\r\nBuild data collection, ingestion, validation, and export pipelines for various sources using modern data stack tools.\r\nContribute to the refactoring of existing orchestration design in Airflow to support scalability and maintainability.\r\nContribute to technical POCs to evaluate new technologies and architectural approaches for the platform.\r\nCollaborate with Architects, Staff Engineers, and the Engineering Manager to validate and evolve the target data architecture.\r\nData Governance & Quality\r\nImplement data contracts and quality controls to ensure data products meet defined SLOs.\r\nApply data modelling best practices including medallion architecture to create trusted, reusable data assets.\r\nSupport the implementation of domain ownership models and single sources of truth per capability.\r\nEnsure data lineage, observability, and metadata management are embedded in all pipelines.\r\nEnablement & Collaboration\r\nContribute to building a strong developer experience (DevEx) to enable engineering teams to adopt self-service data capabilities.\r\nWork closely with DataOps to leverage CI/CD pipelines and infrastructure-as-code practices.\r\nCollaborate with BI and analytics engineering teams, who are the primary users of the Data Platform.\r\nSupport engineering teams in onboarding new data use cases onto the platform.\r\nBuild strong cross-team relationships to facilitate adoption and continuous improvement of the platform.\r\nWho you are\r\nTechnical Expertise\r\nData Engineering Fundamentals\r\nStrong Python skills for building and maintaining data pipelines.\r\nAdvanced SQL and understanding of performance basics.\r\nExperience building production-grade data pipelines.\r\nGood understanding of data modeling concepts (including medallion architecture).\r\nData Platform & Warehousing\r\nHands-on experience with Snowflake or another modern cloud data warehouse (e.g. BigQuery, Redshift, Databricks).\r\nUnderstanding of ELT patterns and how transformations are performed inside analytical warehouses.\r\nFamiliarity with performance considerations such as partitioning, clustering, and query optimization basics.\r\nOrchestration & Integration\r\nExperience using Airflow orchestration tool to design and maintain DAGs.\r\nExposure to modern data integration tools (e.g. Airbyte) is a strong plus.\r\nUnderstanding of API-based ingestion, database connectors, and schema evolution handling.\r\nCloud & Infrastructure\r\nPractical experience with cloud services such as AWS S3 and IAM for instance.\r\nFamiliarity with Infrastructure as Code (e.g. Terraform) is a plus.\r\nUnderstanding of CI/CD workflows and Git-based collaboration.\r\nData Quality & Reliability\r\nAwareness of data validation and testing practices.\r\nExperience working with monitoring or observability tools is a plus.\r\nBasic understanding of data governance concepts (PII handling, access control).\r\nExecution & Autonomy\r\nAbility to break down complex technical problems into structured, actionable tasks.\r\nStrong ownership mindset with the ability to deliver end-to-end pipeline components.\r\nProduct-oriented mindset with understanding of how data enables business value.\r\nEffective collaboration across engineering, product, BI, and data science teams.\r\nEagerness to learn and continuously improve technical and platform knowledge.\r\nExperience\r\nMinimum 3 years of data engineering experience.\r\nYou will report directly to the Senior Data Engineering Manager and work in close collaboration with\r\nDataOps team : who own the Data Platform infrastructure\r\nArchitects : to ensure technical decisions align with enterprise architecture\r\nBI teams, Engineering teams and Data Science teams : who are the main consumers of the platform\r\nWhat we offer you\r\nAn awesome team\r\nA permanent contract\r\nFlexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)\r\nCompetitive fixed salary and bonus\r\nInternational teams and a multicultural environment spanning 10 offices across Europe\r\nHighly inclusive working environment\r\nLifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc\r\nContinuous learning and development programs\r\nFree access to the Calm app to help you build resilience wherever you are in your mental health journey\r\nDedicated parental leave and caregiver leave policies (12 weeks fully paid)\r\nLife & Disability Insurance at no cost to the employee\r\nAmazing offices with dining, a coffee point on each floor, and leisure area\r\nTeam building events\r\nWe believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.\r\nJ-18808-Ljbffr","company":"Fork","rawCompany":"fork","city":"Waterproof","state":"LA","isRemote":false,"isActive":false,"createdAt":"2026-06-22T01:11:56.484Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Join our Movement and Champion Restaurant Culture!\r\nAt TheFork we believe that the best things in life happen around the table. As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world's favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries.\r\nWe're part of the Tripadvisor Group and proud to be building a diverse, people-first culture where \"respect\", \"ownership\", \"growth\" and \"better together\" values thrive.\r\nIf you're passionate about food, technology, and making a real impact, your seat at the table is ready.\r\nDiscover life at TheFork\r\nAbout the Role\r\nWe are looking for a Data Engineer to join our Core Data team as we transform TheFork's data capabilities through the implementation of a modern, self-service Data Platform (DPaaS).\r\nIn this role, you will design and build end-to-end data pipelines and contribute to evolving a platform that enables domain teams to autonomously produce and consume trusted data products.\r\nYou will apply strong software engineering principles to data engineering, collaborate closely with platform stakeholders, and support the shift from a centralized BI model to a federated, domain-oriented data ecosystem.\r\nKey Responsibilities\r\nTechnical Contribution & Delivery\r\nDesign and implement high-quality, production-ready data pipelines following software engineering best practices (version control, CI/CD, testing, observability).\r\nBuild data collection, ingestion, validation, and export pipelines for various sources using modern data stack tools.\r\nContribute to the refactoring of existing orchestration design in Airflow to support scalability and maintainability.\r\nContribute to technical POCs to evaluate new technologies and architectural approaches for the platform.\r\nCollaborate with Architects, Staff Engineers, and the Engineering Manager to validate and evolve the target data architecture.\r\nData Governance & Quality\r\nImplement data contracts and quality controls to ensure data products meet defined SLOs.\r\nApply data modelling best practices including medallion architecture to create trusted, reusable data assets.\r\nSupport the implementation of domain ownership models and single sources of truth per capability.\r\nEnsure data lineage, observability, and metadata management are embedded in all pipelines.\r\nEnablement & Collaboration\r\nContribute to building a strong developer experience (DevEx) to enable engineering teams to adopt self-service data capabilities.\r\nWork closely with DataOps to leverage CI/CD pipelines and infrastructure-as-code practices.\r\nCollaborate with BI and analytics engineering teams, who are the primary users of the Data Platform.\r\nSupport engineering teams in onboarding new data use cases onto the platform.\r\nBuild strong cross-team relationships to facilitate adoption and continuous improvement of the platform.\r\nWho you are\r\nTechnical Expertise\r\nData Engineering Fundamentals\r\nStrong Python skills for building and maintaining data pipelines.\r\nAdvanced SQL and understanding of performance basics.\r\nExperience building production-grade data pipelines.\r\nGood understanding of data modeling concepts (including medallion architecture).\r\nData Platform & Warehousing\r\nHands-on experience with Snowflake or another modern cloud data warehouse (e.g. BigQuery, Redshift, Databricks).\r\nUnderstanding of ELT patterns and how transformations are performed inside analytical warehouses.\r\nFamiliarity with performance considerations such as partitioning, clustering, and query optimization basics.\r\nOrchestration & Integration\r\nExperience using Airflow orchestration tool to design and maintain DAGs.\r\nExposure to modern data integration tools (e.g. Airbyte) is a strong plus.\r\nUnderstanding of API-based ingestion, database connectors, and schema evolution handling.\r\nCloud & Infrastructure\r\nPractical experience with cloud services such as AWS S3 and IAM for instance.\r\nFamiliarity with Infrastructure as Code (e.g. Terraform) is a plus.\r\nUnderstanding of CI/CD workflows and Git-based collaboration.\r\nData Quality & Reliability\r\nAwareness of data validation and testing practices.\r\nExperience working with monitoring or observability tools is a plus.\r\nBasic understanding of data governance concepts (PII handling, access control).\r\nExecution & Autonomy\r\nAbility to break down complex technical problems into structured, actionable tasks.\r\nStrong ownership mindset with the ability to deliver end-to-end pipeline components.\r\nProduct-oriented mindset with understanding of how data enables business value.\r\nEffective collaboration across engineering, product, BI, and data science teams.\r\nEagerness to learn and continuously improve technical and platform knowledge.\r\nExperience\r\nMinimum 3 years of data engineering experience.\r\nYou will report directly to the Senior Data Engineering Manager and work in close collaboration with\r\nDataOps team : who own the Data Platform infrastructure\r\nArchitects : to ensure technical decisions align with enterprise architecture\r\nBI teams, Engineering teams and Data Science teams : who are the main consumers of the platform\r\nWhat we offer you\r\nAn awesome team\r\nA permanent contract\r\nFlexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely)\r\nCompetitive fixed salary and bonus\r\nInternational teams and a multicultural environment spanning 10 offices across Europe\r\nHighly inclusive working environment\r\nLifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc\r\nContinuous learning and development programs\r\nFree access to the Calm app to help you build resilience wherever you are in your mental health journey\r\nDedicated parental leave and caregiver leave policies (12 weeks fully paid)\r\nLife & Disability Insurance at no cost to the employee\r\nAmazing offices with dining, a coffee point on each floor, and leisure area\r\nTeam building events\r\nWe believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great.\r\nJ-18808-Ljbffr","datePosted":"2026-06-22T01:11:56.484Z","dateModified":"2026-06-22T01:11:56.484Z","hiringOrganization":{"@type":"Organization","name":"Fork","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Waterproof","addressRegion":"LA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bafbf4b1677bd73cd6a2041e"},"url":"https://jobsearcher.com/jobs/bafbf4b1677bd73cd6a2041e"}}