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 ownershipof 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 vouchersfor each working day;

- Lifestyle benefits reimbursing physical and leisure activities, family support, travel, and other expenses;

- Continuous learning and development programs;

- Free access tothe 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 (Barcelona)
🏢 Enfint
📍 Barcelona