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Senior Data Platform Engineer

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Bitvavo

Bitvavo helps Europeans trade and earn returns on digital assets through a regulated platform with low fees and multiple payment options.

Keizersgracht 281 1016 ED Amsterdam The Netherlands, Netherlands
About Bitvavo

Bitvavo is a cryptocurrency exchange for individuals and institutions looking to buy, sell, and manage digital assets. Users can trade over 350 cryptocurrencies, set up recurring purchases, and earn rewards on holdings through staking. The platform offers a simple interface and complies with local regulations to ensure a safe environment for digital asset management.

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Skills

About the Role

You will build and maintain a self service data platform that enables teams to ship data products quickly You will evolve the platform to support new data use cases including real time analytics batch processing and machine learning You will maintain a secure scalable and compliant data infrastructure using infrastructure as code and automation You will enable data ingestion processing and consumption at scale and you will mentor teammates to share knowledge and drive engineering excellence

Requirements

  • Experience with one or more programming languages We primarily use Python Go and Kotlin but we value problem solving ability over syntax familiarity
  • Strong understanding of data engineering principles including distributed data processing stream processing and data storage systems
  • Fluency in using infrastructure as code tools like Terraform and container orchestration platforms like Kubernetes in a cloud first environment
  • Exceptional communication skills and the ability to take ownership and communicate directly with stakeholders
  • High sense of ownership and accountability and willingness to take initiative and advocate for the long term health of our data ecosystem

Responsibilities

  • Build a self service data platform that enables teams to build data products as easily and reliably as possible
  • Continuously evolve the platform to support new data use cases including real time analytics and machine learning
  • Build and maintain a secure scalable and compliant data infrastructure using infrastructure as code and automation
  • Enable data ingestion processing and consumption at scale in a self service manner
  • Mentor teammates by sharing technical knowledge giving constructive feedback and driving engineering excellence