ppAre you ready to trade your job for a journey? Become a FlyMate! /p pPassion, excitement global collaboration are all core to what it means to be a FlyMate. At Flywire, we're on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. /p pWhat more do we need to truly be unstoppable? Perhaps, that is you! /p pWho we are: /p pFlywire is a general payments enablement and software company, founded a decade ago to solve high-stakes, high-value payments in education, using modern technology. /p pToday, we've digitized payments for more than 3,300+ global clients across education, healthcare, travel B2B, covering more than 240 countries and territories and supporting over 140 currencies. And, we're just getting started! /p pWith over 1000+ global FlyMates, representing more than 40 nationalities, and in 14 offices world-wide, we're looking for FlyMates to join the next stage of our journey as we continue to grow. /p h3Job Description /h3 h3The Opportunity: Data Infrastructure, SRE AI Foundations /h3 pFlywire is seeking a Senior Data Engineer I specialized in SRE (Site Reliability Engineering) and AI Infrastructure. In this high-impact role, you will not just build data pipelines; you will architect and guarantee the reliability, observability, and scalability of the platforms that power our high-stakes payment intelligence and Artificial Intelligence / Machine Learning strategy. You will treat "Data as a Product" and Infrastructure as Code, serving as the engineering backbone for our Data Science and Analytics teams, reporting into the team led by our Hiring Manager, Roberto. /p h3Key Responsibilities /h3 ul libData SRE Platform Reliability: /b Define, monitor, and enforce SLIs, SLOs, and SLAs for critical data platforms. Architect automated self-healing systems and advanced alerting frameworks to minimize MTTR and pipeline downtime.



/li libAI Data Platform Agent Integration: /b Design and maintain the infrastructure, feature stores, and scalable API/data pipelines required to enable advanced AI Agents to securely access, query, and interact with the data platform and its various features. /li libCloud Infrastructure as Code (IaC): /b Lead the design and deployment of global data infrastructure using Terraform (GCP/AWS) to ensure highly reproducible, secure, and version-controlled environments. /li libAdvanced CI/CD Automation: /b Architect robust GitLab CI automation for data workflows, dbt transformations, and infrastructure deployments, ensuring a zero-manual-intervention environment. /li libData Observability Cost Optimization: /b Implement advanced monitoring for complex queries and resource allocation to balance peak performance with cloud cost efficiency. /li libStreaming Real-Time AI Feeds: /b Build and optimize real-time data streaming infrastructure using Apache Beam, Flink, and Pub/Sub to feed instant data into predictive AI models. /li libData Governance via Code: /b Automate security, access control policies (RBAC/ABAC), and data lineage tracing natively within the infrastructure. /li /ul h3Qualifications /h3 h3What You'll Bring /h3 ul li7+ years of experience in Data Engineering, with at least 2 years in a Senior or Lead capacity, focusing on Data Infrastructure, Production Engineering, or Platform Operations. /li libSRE Observability Expertise: /b Proven experience applying SRE principles to data (uptime tracking, alerting design, incident response, and performance tuning). /li libAI/ML Infrastructure Awareness:



/b Experience collaborating with Data Science teams or implementing connectivity infrastructure for AI applications and agents. /li libStrong Cloud Infrastructure (IaC): /b Deep expertise with Terraform managing scalable environments in GCP or AWS. /li libDevOps Mindset: /b Hands-on experience with containerization (Docker/Kubernetes) and creating complex CI/CD pipelines from scratch. /li libModern Data Stack: /b High proficiency in Python, SQL, dbt, and workflow orchestrators like Airflow (GCP Composer). /li libStreaming Data: /b Solid understanding of streaming architectures (Kinesis, Pub/Sub, Beam, or Flink) for real-time applications. /li libLocation: /b Based within a short commutable distance of Valencia, as this role requires regular weekly hybrid presence in our office. /li /ul h3Additional Information /h3 h3What We Offer /h3 ul liCompetitive compensation /li liEmployee Stock Purchase Plan (ESPP) /li liFlying Start - Our immersive Global Induction Program /li liWork with brilliant people that will keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media /li liDynamic Global Team (we have been collaborating virtually for years!) /li liWellbeing Programs (Mental Health, Wellness) with Global FlyMates /li liBe a meaningful part in our success - every FlyMate makes an impact /li liCompetitive time off including FlyBetter Days to volunteer in a cause you believe in /li liDigital Disconnect Days! /li liGreat Talent Development Programs /li /ul pWe are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your "go-to" person for any questions. /p pFlywire is an equal opportunity employer. With over 30 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we're excited to watch our unique culture evolve with each new hire. /p /p #J-18808-Ljbffr

📌 Senior Data Engineer I (València d'Àneu)
🏢 Flywire
📍 València d'Àneu