Senior Data Engineer

Why Recharge

At Recharge, we’re making prepaid easy—for everyone, everywhere. Whether it’s topping up your mobile, sending gaming credit, or grabbing a gift card, our platform gives people instant access to digital prepaid payment products across 180+ countries. We’re already working with thousands of brands, have passed 2 million app downloads, and are on our way to €1b in sales. As a profitable scale-up with big ambitions: new markets, new products, and new ways to pay. And we’re just getting started.

Our team of 150+ people from 30+ nationalities are building something exciting—and we’re looking for curious, driven people to help us shape what’s next. Sound like you? Come join the journey.

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.

Requirements

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 (13”or 15”)

• Budget for noise-cancelling headphones, travel to and from the office, working-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, pub quizzes, bingo sessions, celebrations and other events

The process

Apply: Interested? Let us know! Submit your application so we can get to know the best version of you.

TA Interview: A recruiter will be in touch to chat about your motivation, background, and some general HR topics to get to know you better.

First Interview: You'll meet with the hiring managers to chat about your experience, our culture, and how you might be a great fit for the role.

Technical Interview: You’ll team up with our engineers for a live coding challenge. It's a bit longer, but a great opportunity to connect with potential future teammates.

Third Interview: Meet with our Principal Engineer to dive deeper into how we work and collaborate within the engineering team.

Offer: You did it! There are only a few tickets to the team—this one has your name on it. Welcome to the crew 🍵

Proactive acquisition from 3rd parties is not appreciated.