About Us

At Pagos, we’re passionate about empowering businesses to take control of their payments stack and solve the puzzles standing between them and optimized growth. Our global platform provides developers, product teams,and payments leaders with both a deeper understanding of their payments data and access to new payments technology through user-friendly tools that are easy to implement. To succeed in this, we need creative thinkers who are willing to roll up their sleeves and start building alongside us.

About the Role

Data is core to everything we do at Pagos. As a Data Quality Engineer, you’ll play a key part in ensuring the quality and consistency of our data.

With a keen eye for detail and a collaborative approach, you’ll partner and collaborate with our Engineering and Product teams. You’ll focus on testing data pipelines, debugging rogue SQL queries, and tracking down data inconsistencies.

As a Data Quality (DQ) Engineer, you will:

• Own data quality across the entire platform

• Design scalable and reliable test plans to ensure consistent data delivery

• Find, research, and track bugs

• Plan and coordinate testing activities across cross-functional teams

What We’re Looking For

We’re looking for someone with:

• 2-4 years in QA/DQ engineering, data analysis, or equivalent professional experience

• Excellent knowledge of data observability, data governance, data quality tools, data lineage, and data validation tools

• Experience setting up continuous integration for test automation

• Strength in writing and enhancing test automation framework

• Excellent SQL knowledge, with experience writing and debugging complex queries

• Experience with data quality test automation (e.g. Great Expectations, Apache Griffin, Deequ, DBT tests, custom Python scripts + Airflow, or similar tools)

• Experience programming in Python

• A bias for action, where no task is too small

• Excellent communication skills—both written and verbal while working with an asynchronous global team

Nice to haves:

• Experience in the fintech/finance industry

• Experience with Data Build Tool

• Comfort and/or past experience working with big data testing

• Comfort and/or past experience working with ETL

Pagos does not accept unsolicited resumes from third-party recruiting agencies. All interested candidates are encouraged to apply directly.