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Senior Data Engineer

Senior Data Engineer

dLocalMadrid, Comunidad de Madrid, España
Hace más de 30 días
Descripción del trabajo

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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