Staff Software Engineer - Curated Data
Jobgether
Staff Software Engineer - Curated Data
Staff Software Engineer - Curated Data needed for a remote-first role in the Netherlands, focused on designing and building systems for high-quality, trusted datasets in an onchain data environment. Requires deep backend engineering and data systems expertise, with strong architectural thinking and experience in orchestration, schema evolution, and large-scale data operations.
Staff Software Engineer - Curated Data
Staff Software Engineer - Curated Data needed for a remote-first role in the Netherlands, focused on designing and building systems for high-quality, trusted datasets in an onchain data environment. Requires deep backend engineering and data systems expertise, with strong architectural thinking and experience in orchestration, schema evolution, and large-scale data operations.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design and build the control plane for the curated data lifecycle, including dependency-aware orchestration, backfills, restatements, retries, partial-failure handling, and recovery mechanisms.
- Own architectural decisions across datasets, determining when a problem is best addressed through a data model, service, or job.
- Design and maintain clear contracts between data ingestion and curation layers so datasets can be understood and managed end to end.
- Build reliable alerting, monitoring, and data-quality signals that identify genuine issues while minimising operational noise.
- Work across Go, Kotlin, Rust, Python, and SQL, selecting technologies based on the requirements of each problem.
- Develop software that orchestrates and manages thousands of interdependent data models and supports large-scale data operations.
- Design systems capable of propagating schema changes and data corrections without unnecessarily disrupting downstream consumers.
- Translate ambiguous product requirements into technical designs, execution sequences, and actionable work for the broader engineering team.
- Personally implement the most technically challenging components while enabling other engineers to own and deliver complementary work.
- Debug complex production issues independently and lead root-cause analysis through to durable fixes.
- Contribute to technical architecture, engineering practices, and system design decisions across the curated data domain.
- Collaborate effectively with a distributed engineering organisation through clear written communication and a strong async-working approach.
- Use AI-assisted development tools thoughtfully to increase engineering productivity while validating outputs and maintaining high standards for correctness and quality.