Jobs in Getafe, Spain

Why should you join dLocal?

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 a part of an amazing global team that makes it all happen, in a flexible, remote‑first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer‑centric, and if this sounds like you, we know you will thrive in our team.

As a Senior Data Engineer, you'll be a strategic professional shaping 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 be a go‑to expert, mentoring other engineers and influencing architectural decisions across the company.

• Architect and evolve scalable infrastructure to ingest, process, and serve large volumes of data efficiently
• Lead improvements to existing frameworks and pipelines to ensure performance, reliability, and cost‑efficiency
• Establish and maintain robust data governance practices that empower cross‑functional teams to access and trust data
• Transform raw datasets into clean, usable formats for analytics, modeling, and reporting
• Investigate and resolve complex data issues, ensuring data accuracy and system resilience
• Maintain high standards for code quality, testing, and documentation, with a strong focus on reproducibility and observability
• Stay current with industry trends and emerging technologies to continuously raise the bar on our engineering practices

• Bachelor’s degree in Computer Engineering, Data Engineering, or related technical field
• Proven experience in data engineering or backend software development, ideally in cloud‑native environments
• Deep expertise in Python and SQL
• Strong experience with distributed data processing frameworks such as Apache Spark
• Solid understanding of cloud platforms (AWS and GCP)
• Strong analytical thinking and problem‑solving skills
• Able to work autonomously and collaboratively, balancing hands‑on work with technical leadership

• Experience designing and maintaining DAGs with Apache Airflow or similar orchestration tools
• Familiarity with modern data formats and table formats (e.g., Parquet, Delta Lake, Iceberg)
• Master’s degree in a relevant field
• Prior experience mentoring engineers and influencing architectural decisions at scale

• Remote work: work from anywhere or one of our offices around the globe!
• Flexibility: we have flexible schedules and we are driven by performance.
• Fintech industry: work in a dynamic and ever‑evolving environment, with plenty to build and boost your creativity.
• Referral bonus program: our internal talents are the best recruiters – refer someone ideal for a role and get rewarded.
• Learning & development: get access to a Premium Coursera subscription.
• Language classes: we provide free English, Spanish, or Portuguese classes.
• Social budget: you’ll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
• dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
• *For people based in Montevideo (Uruguay) applying to non‑IT roles, 55% monthly attendance to the office is required

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

You can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!