Analytics Engineer — Data Pipelines & Governance

PayJoy; Bogotá ciudad; Presencial; COP 80.000.000 - 140.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% Health coverage

Life Insurance

Indefinite-term contract

20 days vacation

Co-working Travel perk

Professional Development perk

Phone & equipment allowance

Catered lunches

Descripción de la vacante

PayJoy is seeking a Data Analyst to design, build, and maintain data infrastructure and pipelines. You will transform raw data from multiple sources into clean, analytics-ready datasets in the data warehouse/lake, enabling reporting and data-driven products.

The role focuses on ensuring data accuracy, timeliness, scalability, and governance so analysts, data scientists, and business teams can make informed decisions. Based in Bogotá, on-site position.

Formación

• Strong SQL and Python for data engineering.
• Experience with ETL/ELT and orchestration tools (e.g., Airflow).
• Knowledge of data modeling and warehousing (dimensional modeling, star schemas).
• Experience in fintech or high-volume transactional environments is valued.

Responsabilidades

• Design, build, and maintain scalable data pipelines (ETL/ELT) to ingest, clean, transform, and load data into the data warehouse/lake.
• Develop and maintain data models, schemas, and transformations (e.g., with dbt) for analytics-ready datasets.
• Ensure data quality, integrity, and governance across the data platform.
• Optimize storage, query performance, and pipeline cost, with robust error handling.
• Collaborate with analysts, data scientists, and business stakeholders to deliver datasets and infrastructure.
• Apply security and compliance best practices (PII protection) coordinating with Security/IT.

Conocimientos

SQL

Python

ETL/ELT

Airflow

dbt

BigQuery

Snowflake

Redshift

Git

Herramientas

BigQuery

Snowflake

Redshift

Git

Descripción del empleo

PayJoy is seeking a Data Analyst to design, build, and maintain data infrastructure and pipelines. You will transform raw data from multiple sources into clean, analytics-ready datasets in the data warehouse/lake, enabling reporting and data-driven products.

The role focuses on ensuring data accuracy, timeliness, scalability, and governance so analysts, data scientists, and business teams can make informed decisions. Based in Bogotá, on-site position.