ОписаниеTheFork 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.Задачи- 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 best practices, 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-functionalrelationships 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.Требования- At least 6 years of data engineering experience,



including significant exposure to production-grade data platforms and cross-team leadership; - Deep hands‑on experience with 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 with Airflow, 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 withAWS‑based data architectures, including S3, IAM, and networking fundamentals; - Hands‑on experience with Infrastructure 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.Условия- Contract is permanent; - Competitive fixed salary and 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 leave and 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-18808-Ljbffr

📌 Data Engineer For Restaurant Booking (Barcelona)
🏢 Enfint
📍 Barcelona