Data Engineer For Restaurant Booking
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Role details
Tech stack
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Job description
????????TheFork is a leading restaurant booking platform in Europe that connects diners with restaurants and creates dining experiences across 11 countries.It is part of the Tripadvisor Group.??????Design and implement scalable, production-grade data pipelines using version control, CI/CD, automated testing, and observability; Lead the evolution of Airflow orchestration patterns to improve scalability, reliability, and maintainability; Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap; Contribute to shaping and validating the target data architecture with Architects, Staff Engineers, and DataOps; Identify system weaknesses, design for failure, and define mitigation strategies and resilience patterns; Implement and enforce data contracts and quality controls aligned with defined SLOs; Apply data modeling bestpractices, including medallion architecture, to create trusted and reusable data assets; Establish domain ownership principles and clear single sources of truth; Embed lineage, metadata,and observability mechanisms in all pipelines; Drive technical alignment across teams through documentation, standards, and mentoring; Partner with DataOps on infrastructure, CI/CD, and platform automation at scale; Support product and engineering teams in adopting the platform with a focus on developer experience; Build cross-functional relationships to accelerate adoption and platform impact; Lead initiatives end-to-end from problem framing to production rollout; Structure complex technical problems into actionable plans and manage cross-team dependencies; Make architectural trade-offs balancing scalability, cost, reliability, and time-to-market; Take ownership of platform stability and continuously improve operational excellence; Mentor and help other engineers grow through technical guidance and feedback.??????????At least 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership; Deep hands?on experiencewith a modern cloud lakehouse in production-grade environments, such as Snowflake or Databricks; Strong expertise in analytical data modeling, including medallion architecture, and safe schema evolution; Proven experience designing scalable, incremental ELT pipelines; Strong understanding of MPP systems and distributed data processing principles; Experience optimizing query performance and compute costs in cloud data warehouses; Cost?aware design mindset; Advanced experience withAirflow, including scalable DAG design, dependency management, and failure handling strategies; Strong experience designing and operating production?grade ELT pipelines with modern integration tools such as Airbyte or similar, or custom ingestion frameworks; Strong experience with AWS?based data architectures, including S3, IAM, and networking fundamentals; Hands?on experience withInfrastructure as Code, such as Terraform; Experience implementing CI/CD pipelines for data workflows; Understanding of security?by?design principles in cloud data environments; Experience implementing data quality frameworks, data contracts, and validation strategies; Strong understanding of metadata management, lineage tracking, and monitoring practices; Experience embedding observability and reliability into pipelines, including alerting, SLOs, and incident response; Nice to have: Experience designing self-service data platform capabilities.???????Contract is permanent; Competitive fixed salaryand bonus; Lunch vouchers for each working day; Lifestyle benefits reimbursing physical and leisure activities, family support, travel, and other expenses; Continuous learning and development programs; Free access to the Calm app; Dedicated parental leaveand caregiver leave policies, including 12 weeks fully paid; Health insurance;Life and disability insurance at no cost to the employee; International teams and a multicultural environment across 10 offices in Europe; Inclusive working environment; Team building events.#J-*****-Ljbffr
Requirements
??????????At least 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership; Deep hands?on experiencewith a modern cloud lakehouse in production-grade environments, such as Snowflake or Databricks; Strong expertise in analytical data modeling, including medallion architecture, and safe schema evolution; Proven experience designing scalable, incremental ELT pipelines; Strong understanding of MPP systems and distributed data processing principles; Experience optimizing query performance and compute costs in cloud data warehouses; Cost?aware design mindset; Advanced experience withAirflow, including scalable DAG design, dependency management, and failure handling strategies; Strong experience designing and operating production?grade ELT pipelines with modern integration tools such as Airbyte or similar, or custom ingestion frameworks; Strong experience with AWS?based data architectures, including S3, IAM, and networking fundamentals; Hands?on experience withInfrastructure as Code, such as Terraform; Experience implementing CI/CD pipelines for data workflows; Understanding of security?by?design principles in cloud data environments; Experience implementing data quality frameworks, data contracts, and validation strategies; Strong understanding of metadata management, lineage tracking, and monitoring practices; Experience embedding observability and reliability into pipelines, including alerting, SLOs, and incident response; Nice to have: Experience designing self-service data platform capabilities.
Benefits & conditions
???????Contract is permanent; Competitive fixed salaryand bonus; Lunch vouchers for each working day; Lifestyle benefits reimbursing physical and leisure activities, family support, travel, and other expenses; Continuous learning and development programs; Free access to the Calm app; Dedicated parental leaveand caregiver leave policies, including 12 weeks fully paid; Health insurance;Life and disability insurance at no cost to the employee; International teams and a multicultural environment across 10 offices in Europe; Inclusive working environment; Team building events. #J-*****-Ljbffr
About the company
????????TheFork is a leading restaurant booking platform in Europe that connects diners with restaurants and creates dining experiences across 11 countries. It is part of the Tripadvisor Group. ??????Design and implement scalable, production-grade data pipelines using version control, CI/CD, automated testing, and observability; Lead the evolution of Airflow orchestration patterns to improve scalability, reliability, and maintainability; Drive technical POCs to evaluate new tools, architectural patterns, and performance improvements aligned with the platform roadmap; Contribute to shaping and validating the target data architecture with Architects, Staff Engineers, and DataOps; Identify system weaknesses, design for failure, and define mitigation strategies and resilience patterns; Implement and enforce data contracts and quality controls aligned with defined SLOs; Apply data modeling bestpractices, including medallion architecture, to create trusted and reusable data assets; Establish domain ownership principles and clear single sources of truth; Embed lineage, metadata,and observability mechanisms in all pipelines; Drive technical alignment across teams through documentation
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