Client: Our client is a leading airline group known for its extensive network and dedication to outstanding customer service.
Position overview: We’re looking for a Data Engineer to join the Customer Loyalty team, directly embedded with the business. In this role, you’ll design, build, and manage data pipelines that support business-driven data products. You will collaborate closely with cross-functional teams, including Data Scientists, ML Engineers, and business stakeholders. The role focuses on delivering production-quality, end-to-end solutions in a cloud-first environment, leveraging AdCore tools.
- Responsibilities: Collaborate closely with business teams to understand data needs, ensuring that solutions are aligned with business objectives and support data-driven decision-making.
- Design and implement scalable data pipelines (batch and streaming)
- Collaborate with Data Scientists and ML Engineers to support model development and retraining
- Ingest data into the Data Lake using GCP-native tools




- Build and maintain ETL/ELT processes and unified data models
- Continuously test and optimize data workflows
- Promote a data-driven culture with a focus on reliability and scalability
- Requirements: Ability to work closely with business teams and clear communication with non-technical profiles
- 4+ years as a Data Engineer or Software Engineer
- Strong Python and SQL skills
- Experience working in UNIX environments
- Hands-on experience with GCP, especially its data tools (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer)
- Experience with CI/CD pipelines and Docker
- Solid understanding of data structures and distributed processing
- Experience testing and debugging data pipelines
- Nice to have: Experience with Terraform
- Experience with API development
- Stream processing tools (e.g., Apache Beam, Kafka)
- Exposure to MLOps workflows and tools

📌 Senior Data Engineer (Monterrey)
🏢 DataArt
📍 Monterrey