Описание

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. 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-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. 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 with AWS‑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.

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📌 data engineer for restaurant booking (Madrid)
🏢 Enfint
📍 Madrid