Data Engineer

Mexico City · 90% Remote Mid-Senior · 3–5 years experience Reports to: Data Lead

About the role

We’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 professional working English.

- Degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to have

- Experience in payments, fintech, banking, or other high-volume environments .

- Kafka, Debezium, Spark, or Flink.

- Data quality and observability tools such as Great Expectations or Monte Carlo.

- Terraform, Iceberg, or Delta Lake.

- Experience supporting ML pipelines or feature engineering, especially for fraud or risk.

- Exposure to LLM use cases such as embeddings, vector search, or text-to-SQL.

- Familiarity with PCI DSS or the Mexican payments ecosystem , including SPEI, card networks, and acquiring.

Why join?

You’ll work on data where reliability really matters : every transaction represents someone's money. The role combines data engineering, fintech, AI, and high-scale infrastructure, with the opportunity to have direct ownership over critical parts of the platform.

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