Why Recharge

We are the leading one-stop-shop for branded payments, making online recharge possible for anyone, anywhere at any time — whether you or someone you love needs credit for calling, gaming, entertainment or money. This is your chance to join an ambitious scaleup in a state of rapid growth; we’ll push you to develop yourself and help you create a real impact in your role. Put simply: we could write history together.

We won’t bore you with a corporate spiel about how we might be taking on the world of branded payments (spoiler: we are). Instead, we’ll let the numbers speak for themselves: we bring consumers their favourite brands to their fingertips, with over 15,000 products available globally. We have a revenue target of €55+ million for 2025,  which corresponds to 15%+ Year-on-Year growth which we achieved in 2024 already. We're just getting started with 2 million app downloads, we are counting 2+ million monthly active customers, a presence in 180 countries and 25 markets, a team of 150+ employees and 35+ nationalities, and 1 person missing — you.

We’re on the hunt for the hungriest and most passionate talent out there. If at any point your brain screams “I want in!” while you’re reading this, then consider this the sign you’ve been looking for: we want you too.

The role

We’re looking for a Senior Data Engineer to join our innovative Data Platform team, a core component of Recharge’s ambitious goals.

In this role, you’ll be integral to designing, building, and maintaining scalable data pipelines that fuel decision-making across the business. You’ll work closely with product, engineering, and analytics teams to ensure data is accessible, reliable, and impactful. You will work alongside other 2 Data Engineers and report directly to Oberdan Bitencourt Ferreira.

What will you be working on:

  • Design and implement robust data pipelines to support both batch and real-time data processing, ensuring optimal performance and scalability;

  • Collaborate with cross-functional teams to gather requirements, develop ETL processes, and deliver high-quality data products for analytics and machine learning;

  • Own end-to-end data workflows, from ingestion through transformation to delivery, ensuring data accuracy, consistency, and accessibility;

  • Identify and implement best practices for data engineering, data quality, and data governance, continuously improving our platform;

  • Develop monitoring and alerting mechanisms to detect and resolve issues within the data infrastructure proactively;

  • Work with cloud services, particularly AWS, to build, manage, and optimise data lakes and warehouses;

  • Contribute to designing and enforcing Recharge’s data architecture, policies, and processes;

  • Mentor and collaborate with less experienced engineers, fostering a culture of knowledge sharing and continuous learning;

  • Participate in roadmap development, proactively proposing innovative data solutions aligning with business objectives.

What You Have:

  • 5+ years of experience in data engineering, building data pipelines, and managing ETL workflows at scale;

  • Strong hands-on experience with data processing frameworks and languages like SQL and Python;

  • Solid understanding of cloud environments, especially AWS, focusing on services like S3 and AWS Step Functions;

  • Solid experience with AWS Redshift;

  • Knowledge or experience with SaaS tools such as Airbyte, Fivetran, dbt, Sifflet, Spark/PySpark or similar tools;

  • Experience with containerisation solutions like Docker

  • Proven expertise in designing, building, and managing data lakes, data warehouses, and other data infrastructure solutions with or without using SaaS applications;

  • Solid understanding of workflow management tools like Apache Airflow;

  • Experience with data quality management, monitoring, and observability best practices to ensure data reliability

  • Experience with defining/maintaining CI/CD for data pipelines, including automated testing, environment provisioning and other best practices. We rely on GitHub Actions and Terraform;

  • Ability to collaborate and communicate effectively with technical and non-technical stakeholders, aligning data initiatives with business goals;

  • A self-starter with strong problem-solving skills, continually seeking ways to optimise and innovate in data engineering processes;

  • Ability to operate responsibly in alignment with the industry's best practices and team conventions. The ability to drive initiatives toward completion and deliver working solutions is a must-have.

What we offer

  • 30 days of holiday, a great pension scheme, and one of the best relocation packages in Amsterdam

  • Flexible working hours and an office overlooking the Amstel

  • Macbook Pro or Windows Laptop

  • Budget for noise-cancelling headphones, travel to and from the office, opportunities to work-from-home and self-learning

  • Free healthy breakfast, lunch and snacks by our in-house chef

  • Unlimited access to mental health support by certified psychologists via OpenUp

  • Free Dutch classes to help out with daily life in the Netherlands

  • Regular parties, celebrations and other events.