Applications are closed for this role. It was originally posted 2026-08-27. It’s no longer accepting applicants — see roles Wizeline is still hiring for →, or browse the live openings below.
About this role
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 .
Tech stack
ScalaPythonFastAPIBigQueryDockerKafka