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
- Versátil 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.

📌 Senior Data Engineer (España)
🏢 Wizeline
📍 España