Senior Data Engineer.

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.