Senior Data Engineer

Wizeline·Barcelonasenior

In short

→Ingeniero de datos senior que construye y mantiene pipelines ETL escalables en Google Cloud con Scala y Python.
→Dia a dia: desarrolla servicios REST, optimiza consultas en BigQuery, gestiona CI/CD y opera herramientas de IA para automatización.
→Destaca: trabajar en un entorno global con enfoque en AI-native y tecnología de punta, con impacto directo en productos digitales.

Spanish and English

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What they ask for

✓Experiencia con Scala y Apache Beam
✓Habilidades en Python y FastAPI
✓Conocimiento profundo de Google Cloud Platform (GCP)
✓Experiencia con BigQuery: diseño de esquemas y consultas analíticas
✓Experiencia en ETL distribuido a gran escala con Dataflow
✓Capacidad de mantener compatibilidad con flujos de autenticación legados

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ScalaApache BeamPythonFastAPIpytestGoogle Cloud PlatformApp EngineCloud Functions v2Cloud BuildDataflow

Who should you write to at Wizeline?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

We are: 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 global 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 Languages • Spanish and English Responsibilities • Maintain and extend ETL pipelines • Build and operate REST microservices (Akka HTTP / 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. Find out more about our culture here .

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