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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer I - **Company:** Flywire - **Location:** Valencia, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, DevOps, Python (Programming Language), Role-Based Access Control, Site Reliability Engineering Practices, SQL Databases, Data Streaming, AI Infrastructure, Mttr, Gitlab-ci, Core Data, Kubernetes, Data Lineage, Apache Flink, Data Analytics, Data Management, Terraform, Data Pipelines, Apache Beam, Docker - **Published:** July 28, 2026 - **Apply:** https://www.buscojobs.com.es/senior-data-engineer-i-en-valencia-ID-364774350 ## About the Role 7+ years in Data Engineering with at least 2 years in a Senior/Lead role - SRE u**** Observability expertise in data environments - Experience collaborating with Data Science teams or AI infrastructure connectivity - Strong cloud IaC experience with Terraform in GCP/AWS - DevOps mindset with Docker/Kubernetes and end-to-end CI/CD pipelines - Proficiency with Python, SQL, dbt, and Airflow (GCP Composer) - Experience with streaming architectures (Kinesis, Pub/Sub, Beam, Flink) - Location within short commutable distance of Valencia for hybrid workRequisitos principales ## Description Experteer Overview In this role you will architect and guarantee the reliability, observability, and scalability of data platforms powering our AI and data-driven payment intelligence.You'll partner with Data Science and Analytics to treat data as a product, applying IaC and modern CI/CD to keep pipelines fast and trustworthy.You will lead SRE practices for data, build real-time streaming and AI-ready infrastructure, and guide secure, scalable cloud deployments.This is a hands-on, impact-focused position within a global team accelerating Flywire's AI-driven payments platform.Compensaciones / Beneficios- Define and monitor SLIs/SLOs/SLAs for core data platforms and design automated self-healing systems to minimize MTTR and downtime- Design and maintain infra, feature stores, and scalable API/data pipelines to enable AI Agents to securely access data platforms- Lead Cloud Infrastructure as Code design and deployment (Terraform) for global, reproducible environments in GCP/AWS- Architect robust GitLab CI pipelines for data workflows, dbt transformations, and infra deployments with zero manual intervention- Implement advanced data observability and cost optimization to balance performance with cloud spend- Build real-time streaming data infrastructure (Apache Beam, Flink, Pub/Sub) feeding predictive AI models- Automate security, RBAC/ABAC policies, and data lineage tracing within the infrastructureResponsabilidades- 7+ years in Data Engineering with at least 2 years in a Senior/Lead role- SRE u**** Observability expertise in data environments- Experience collaborating with Data Science teams or AI infrastructure connectivity- Strong cloud IaC experience with Terraform in GCP/AWS- DevOps mindset with Docker/Kubernetes and end-to-end CI/CD pipelines- Proficiency with Python, SQL, dbt, and Airflow (GCP Composer)- Experience with streaming architectures (Kinesis, Pub/Sub, Beam, Flink)- Location within short commutable distance of Valencia for hybrid workRequisitos principales- Competitive compensation- Employee Stock Purchase Plan (ESPP)- Flying Start - Global Induction Program- Wellbeing programs- FlyBetter Days to volunteer- Digital Disconnect Days ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) ## Related Articles - 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