Data EngineerMexico City · 90% Remote Mid-Senior · 3–5 years experience Reports to: Data Lead
About the roleWe’re looking for a Data Engineer to help build and scale the data infrastructure behind a fast-growing payments platform in Mexico.
You’ll work with high-volume, business-critical data and own meaningful parts of the data platform end to end—from ingestion and modeling to quality, monitoring, and reliability.
What you’ll do
- Build and maintain batch and near real-time data pipelines from transactional systems, banks, card networks, and partners.
- Design reliable, observable, and scalable data flows with clear SLAs.
- Build layered data models from raw > curated > business-ready.
- Create trusted datasets for metrics such as transaction volume, approval rates, chargebacks, and settlements.
- Implement data quality, testing, monitoring, and alerting.
- Work with sensitive data following PCI DSS and Mexican financial regulations.
- Partner with Analytics, Data Science, Risk, and Fraud teams to support reporting and ML models.
- Monitor platform performance, reliability,



and cloud costs.
- Participate in incident response and blameless post-mortems.
- Use AI coding assistants as part of your daily engineering workflow, while validating their output.

What we’re looking for
- 3–5 years of experience as a Data Engineer or similar role, with production data pipelines.
- Strong experience owning data systems end to end.
- Advanced SQL and strong Python skills.
- Hands‑on experience with Apache Airflow and dbt.
- Experience with AWS or GCP and data warehouses such as Redshift, BigQuery, or Snowflake.
- Solid knowledge of data modeling, including dimensional and layered/medallion architectures.
- Experience with relational databases such as PostgreSQL/MySQL and NoSQL databases.
- Good engineering practices: Git, code reviews, testing, CI/CD, and Docker.
- Daily experience with AI coding tools such as Claude Code, Cursor, Copilot, or similar.
- Fluent Spanish and prof

📌 Data Engineer (Ciudad de México)
🏢 Time to Hire
📍 Ciudad de México