Senior Engineer, Data Engineering (Madrid)

Senior Engineer, Data Engineering (Madrid)

30 jul
|
JobFlurry
|
Madrid

30 jul

JobFlurry

Madrid

Join our Movement and Champion Restaurant Culture!

As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries. If you’re passionate about food, technology, and making a real impact, your seat at the table is ready.

Senior Data

Engineer to join our Core Data team and play a key role in transforming TheFork’s data capabilities through the implementation of a modern, self‑service Data Platform (DPaaS). In this role, you will not only build scalable, production‑grade data pipelines, but also contribute to designing and evolving the platform that enables domain teams to autonomously produce and consume trusted data products. You will apply strong software engineering principles to data engineering, help define governance standards, and actively contribute to shifting our organisation from a centralised BI model to a federated, domain‑oriented data ecosystem.

You will report directly to the Senior Data Engineering Manager and work in close collaboration with: DataOps team : who own the Data Platform infrastructure BI teams, Engineering teams and Data Science teams : who are the main consumers of the platform Design and implement scalable, production‑grade data pipelines following strong software engineering practices (version control, CI/CD, automated testing, observability).

Airflow

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 in collaboration with Architects, Staff Engineers, and DataOps. Data Governance & Quality Implement and enforce data contracts and quality controls aligned with defined SLOs.

Apply data modeling best practices including medallion architecture to create trusted, reusable data assets. Minimum 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 (e.g.

Snowflake , Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution. Strong understanding of MPP systems and distributed data processing principles. Performance & Cost Optimization Experience optimizing query performance and compute cost in cloud data warehouses.

Orchestration & Data Integration Airflow , including scalable DAG design, dependency management, and failure handling strategies.

Experience designing self‑service data platform capabilities is a strong plus. Strong experience with AWS‑based data architectures (S3, IAM, networking fundamentals). Terraform ).





Experience implementing CI/CD pipelines for data workflows. Understanding of security‑by‑design principles in cloud data environments. Data Quality, Governance & Observability Experience implementing data quality frameworks, data contracts, and validation strategies.

Strong understanding of metadata management, lineage tracking, and monitoring practices. A permanent contract. Versátil working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely).

Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc. Amazing offices with dining, coffee points and leisure area. Please report any suspicious messages immediately.

We endeavor to ensure that everyone – regardless of ability, age, socio‑economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law – has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries to [email protected].

📌 Senior Engineer, Data Engineering (Madrid)
🏢 JobFlurry
📍 Madrid

Postulate a este anuncio

Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: senior engineer, data engineering (madrid) / madrid

Suscribete a esta alerta:

Recibe por email las nuevas ofertas de trabajo para: senior engineer, data engineering (madrid) / madrid