Senior Data Platform Engineer
Bitvavo helps Europeans trade and earn returns on digital assets through a regulated platform with low fees and multiple payment options.
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Build and maintain a self-service data platform that enables teams to ship data products quickly. Evolve the platform for real-time analytics, batch processing, and machine learning while maintaining secure, scalable, compliant infrastructure through infrastructure as code and automation. Enable data ingestion, processing, and consumption at scale, and mentor teammates to drive engineering excellence.
Requirements
- Experience with one or more programming languages, primarily Python, Go, or Kotlin.
- Strong understanding of data engineering principles, including distributed data processing, stream processing, and data storage systems.
- Fluency with infrastructure as code tools such as Terraform and container orchestration platforms such as Kubernetes in a cloud-first environment.
- Exceptional communication skills and ability to take ownership and communicate directly with stakeholders.
- High sense of ownership and accountability, with willingness to take initiative and advocate for the long-term health of the data ecosystem.
Responsibilities
- Build a self-service data platform that enables teams to build data products reliably.
- Evolve the platform to support real-time analytics, batch processing, and machine learning.
- Build and maintain 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, providing constructive feedback, and driving engineering excellence.