Senior Data Engineer

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us, you will be part of an amazing global team that makes it all happen, in a flexible, remote-first culture with travel, health, and learning benefits, among others. Being part of dLocal means working with over 1,000 teammates from more than 30 nationalities and developing an international career impacting millions of lives. We are builders, customer-centric, and thrive on challenges. If this sounds like you, you'll thrive here.

What’s the opportunity?

As a Senior Data Engineer, you'll shape the foundation of our data platform. You’ll design and evolve scalable infrastructure, enable data governance at scale, and ensure our data assets are clean, reliable, and accessible. You will mentor engineers and influence architectural decisions across the company.

What will I be doing?

Architect and evolve scalable infrastructure for data ingestion, processing, and serving

Lead improvements to frameworks and pipelines for performance, reliability, and cost-efficiency

Establish and maintain data governance practices for cross-functional teams

Transform raw datasets into clean, usable formats for analytics and reporting

Investigate and resolve complex data issues

Maintain high standards for code quality, testing, and documentation

Stay current with industry trends and emerging technologies

What skills do I need?

Bachelor’s degree in Computer Engineering, Data Engineering, or related field

Experience in data engineering or backend development, preferably in cloud environments

Expertise in Python and SQL

Experience with distributed data processing frameworks like Apache Spark

Understanding of cloud platforms (GCP preferred)

Strong analytical and problem-solving skills

Ability to work autonomously and collaboratively

Nice to have

Experience with Apache Airflow or similar orchestration tools

Familiarity with data formats like Parquet, Delta Lake, Iceberg

Master’s degree in a relevant field

Experience mentoring engineers and influencing architecture at scale

What do we offer?

Besides tailored benefits, dLocal offers :

Remote work from anywhere or our offices worldwide

Flexible schedules driven by performance

Dynamic fintech environment to boost creativity

Access to Premium Coursera subscription

Monthly social budget

dLocal Houses for remote coworking

Note : For non-IT roles based in Montevideo, Uruguay, 55% office attendance is required.

After applying, our Talent Acquisition team will review your CV and keep you updated throughout the process. For more info about dLocal, visit our website.

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