Data Engineer, Proton

• ~1–3 years in data engineering or backend engineering with data-heavy systems (internships or projects count)
• Solid software engineering foundations: version control, testing, code reviews, readable code
• Working knowledge of one of: Kafka or another streaming system; Spark or another distributed compute engine
• Proficiency in Python; willingness to learn Scala (or vice versa)
• Comfortable with SQL; curiosity to learn ClickHouse specifics
• Clear communication, ownership mindset, and eagerness to learn

Desirable

• The Proton Data Platform team is responsible for everything that enables the company to make data-driven decisions, with our on-premise, custom data platform at the center. We are looking for a Data Engineer to join the team and help building and maintaining reliable batch and streaming data pipelines and tools, learn best practices for data modeling and quality, and support analytics/ML use cases. You’ll work with mentors on the team and grow into owning pipelines end-to-end
• Implement and maintain ingestion & transformation jobs (Kafka → Spark), with guidance
• Write clean, testable code in Scala and Python for data pipelines and utilities
• Query and optimize datasets in ClickHouse SQL (partitioning, basic tuning)
• Add data quality checks and monitoring; help triage pipeline issues
• Contribute to CI/CD and containerized jobs (Docker, GitLab CI; exposure to Kubernetes)
• Collaborate with analysts/ML engineers to turn requirements into well-scoped tasks
• Document workflows and share learnings in code reviews and short design notes