Translate product requirements into robust technical solutions by modeling domains, interfaces, and workflows, and making architectural trade-offs.
Break complex initiatives into well-defined pieces of work, owned by multiple engineers, delivering early production value.
Drive end-to-end architectural decisions across the data platform; own critical components from design to production operation.
Design and build scalable systems for large-scale data ingestion, distributed processing, and data lake storage with high correctness and performance.
Work across the stack using Go, Kotlin, Rust, and Python; select technologies based on the problem.

Key requirements

Translate product requirements into robust technical solutions by modeling domains, interfaces, and workflows, and making architectural trade-offs.
Break complex initiatives into well-defined pieces of work, owned by multiple engineers, delivering early production value.
Drive end-to-end architectural decisions across the data platform; own critical components from design to production operation.
Design and build scalable systems for large-scale data ingestion, distributed processing, and data lake storage with high correctness and performance.
Work across the stack using Go, Kotlin, Rust, and Python; select technologies based on the problem.

Jobs at Partner company

42 active roles from this employer in the JobMatcher catalog.

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Jobs at Partner company

42 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Staff Software Engineer - Data (Germany, Remote) We are seeking a Staff Software Engineer - Data for a partner company to work on a large-scale blockchain analytics data platform. This remote-first role involves shaping how blockchain data is ingested, modeled, processed, stored, and delivered to users and developers. The role blends computer science, distributed systems, data engineering, architecture, and product thinking. You will translate ambiguous requirements into clear designs, delivery plans, and production-ready systems, working across Go, Kotlin, Rust, and Python.

Responsibilities

Translate product requirements into robust technical solutions by modeling domains, interfaces, and workflows, and making architectural trade-offs.
Break complex initiatives into well-defined pieces of work, owned by multiple engineers, delivering early production value.
Drive end-to-end architectural decisions across the data platform; own critical components from design to production operation.
Design and build scalable systems for large-scale data ingestion, distributed processing, and data lake storage with high correctness and performance.
Work across the stack using Go, Kotlin, Rust, and Python; select technologies based on the problem.
Apply CS fundamentals to distributed data systems: contracts, state transitions, invariants, fault tolerance, and scaling.
Raise engineering standards via design reviews, testing, decomposition, and process improvements.
Collaborate with product, customers, and engineers to clarify requirements, define scope, and guide technical de

About the role

Staff Software Engineer - Data (Germany, Remote) We are seeking a Staff Software Engineer - Data for a partner company to work on a large-scale blockchain analytics data platform. This remote-first role involves shaping how blockchain data is ingested, modeled, processed, stored, and delivered to users and developers. The role blends computer science, distributed systems, data engineering, architecture, and product thinking. You will translate ambiguous requirements into clear designs, delivery plans, and production-ready systems, working across Go, Kotlin, Rust, and Python.

Responsibilities

Translate product requirements into robust technical solutions by modeling domains, interfaces, and workflows, and making architectural trade-offs.
Break complex initiatives into well-defined pieces of work, owned by multiple engineers, delivering early production value.
Drive end-to-end architectural decisions across the data platform; own critical components from design to production operation.
Design and build scalable systems for large-scale data ingestion, distributed processing, and data lake storage with high correctness and performance.
Work across the stack using Go, Kotlin, Rust, and Python; select technologies based on the problem.
Apply CS fundamentals to distributed data systems: contracts, state transitions, invariants, fault tolerance, and scaling.
Raise engineering standards via design reviews, testing, decomposition, and process improvements.
Collaborate with product, customers, and engineers to clarify requirements, define scope, and guide technical de

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