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 general 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)

Big Query — schema design, analytical queries, dataset management




Apache Beam / Google Dataflow — distributed ETL at scale
Data lakes
Dev Ops & Tooling
CI/CD
Docker, minikube
Git submodules, gcloud SDK
Responsibilities
Maintain and extend ETL pipelines
Build and operate REST microservices (Akka HTTP / Python)
Design Big Query 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: Apache Beans

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. xiphteb

Find out more about our culture here.

📌 Senior Data Engineer (Lérida)
🏢 Wizeline
📍 Lérida