We are: Por favor, asegúrese de leer completamente el resumen y los requisitos de esta oportunidad de empleo que se detallan a continuación. Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a integral community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there's no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let's make sure you're a good fit for the role: Technical Requirements Languages & Frameworks Scala /Apache Beam Python /FastAPI, pytest Data & Cloud Google Cloud Platform: App Engine, Cloud Functions v2, Cloud Build, Dataflow, Pub/Sub, GCS, Cloud SQL (MySQL) BigQuery — schema design, analytical queries,



dataset management Apache Beam / Google Dataflow — distributed ETL at scale Data lakes DevOps & Tooling CI/CD Docker, minikube Git submodules, gcloud SDK Responsibilities Maintain and extend ETL pipelines Build and operate REST microservices (Akka

/ Python) Design BigQuery schemas and optimize analytical queries Operate and extend AI-powered tooling (PR reviewer, infrastructure monitoring bot) Maintain backward compatibility across legacy and modern authentication flows Nice-to-have: ApacheBeans Kafka Dataflow What we offer: A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Community Total Rewards *Specific benefits are determined by the employment type and location. xbhjioe Find out more about our culture here.

📌 Senior Data Engineer (Sallent)
🏢 Wizeline
📍 Sallent