Analytics Engineer: Data Pipelines & FinTech Insights

PayJoy; Ciudad de México; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health for employees and family

Life Insurance

Indefinite-term contract

20 days vacations

Co-working Travel perk ($2,000 USD)

Professional Development perk ($2,000)

Home office equipment allowance

Catered lunches

Descripción de la vacante

PayJoy is seeking a Data Engineer to design, build, and maintain scalable data pipelines, models, and governance processes. You will convert raw data into analytics-ready datasets, enabling reliable reporting and data-driven products.

Join a fintech team focused on secure data infrastructure, privacy, and scalable analytics, with strong collaboration across analysts, scientists, and business stakeholders.

Formación

• Must have strong SQL and Python for data engineering.
• Experience with ETL/ELT and orchestration tools (Airflow/dbt).
• Experience with cloud data warehouses (BigQuery/Snowflake/Redshift) and at least one major cloud (GCP/AWS/Azure).
• Proficient version control using Git; data modeling and governance knowledge a plus.

Responsabilidades

• Design, build, and maintain scalable data pipelines from multiple sources into data warehouse/lake.
• Develop and maintain data models, schemas, and transformations for analytics-ready datasets.
• Ensure data quality, governance, validation, testing, monitoring, and documentation across the platform.
• Optimize storage, query performance, and pipeline cost; implement robust error handling.
• Collaborate with analysts, data scientists, and business teams to meet data needs.
• Apply security and compliance best practices (PII protection, access controls).

Conocimientos

SQL

Python

ETL/ELT

Airflow

dbt

BigQuery

Snowflake

Redshift

Cloud platforms

Git

Herramientas

Airflow

dbt

Git

BigQuery

Snowflake

Redshift

Descripción del empleo

PayJoy is seeking a Data Engineer to design, build, and maintain scalable data pipelines, models, and governance processes. You will convert raw data into analytics-ready datasets, enabling reliable reporting and data-driven products.

Join a fintech team focused on secure data infrastructure, privacy, and scalable analytics, with strong collaboration across analysts, scientists, and business stakeholders.