Data Engineer For Restaurant Booking

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 technicalPOCs 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 systemweaknesses, 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 technicalalignment across teams through documentation, standards, and mentoring;
  
• Partner with DataOps on infrastructure, CI/CD, and platform automation at scale;
  
• Support productand 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 helpother 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. xhfqzwm

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.