Senior Data engineer
Amsterdam, Noord-Holland, Netherlands
Recharge
Recharge is a B2C prepaid payments platform operating digital storefronts. With our mission to 'Make Prepaid Easy,' we offer over 16,000 digital vouchers and prepaid products, for large prepaid categories such as e-gift, shopping, and gaming...Why Recharge.com
At Recharge, we're revolutionising prepaid payments! From call credits to gaming, entertainment and more, we make online recharge easy, anytime, anywhere.
Join us in our exciting journey of an ambitious scale-up in a state of rapid growth & make a real impact. Together, we believe we can create something extraordinary.
Let's skip the corporate talk and get to the good stuff: we offer 15,000+ products, have secured $70 million in funding and achieved over 20% growth in 2023. Our goal? €75 million in revenue by 2024. With 1.1 million app downloads last year, 5 million active customers, a presence in 180 countries and a diverse team of 160+ employees from 40+ nationalities, we’re just getting started.
We’re searching for passionate and driven individuals to join our mission. If this sounds like you, consider this your sign: we want you on our team!
Requirements
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 an Engineering Manager.
If you thrive in environments where you can shape and scale data solutions that serve millions globally, we want to hear from you.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS CI/CD Data governance Data pipelines Data quality dbt Docker Engineering ETL FiveTran GitHub Machine Learning Pipelines PySpark Python Redshift Spark SQL Step Functions Terraform Testing
Perks/benefits: Career development Flex hours Gear Relocation support Team events Travel
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