We are

Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV 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 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

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

Integral Opportunities

Vibrant Community

Total Rewards

*Specific benefits are determined by the employment type and location. xugodme

Find out more about our culture here

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📌 Senior Data Engineer (Barcelona)
🏢 Wizeline
📍 Barcelona