Remote Backend Engineer - Scale ClickHouse Data Pipelines

ClickHouse; Noord-Holland; Remote; EUR 90,000 - 160,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare contributions

Stock options

Flexible time off

Home office stipend of USD 500

Global gatherings

Job summary

Langfuse, now part of ClickHouse, seeks a strong backend engineer to optimize ingestion pipelines and ClickHouse data models. You will design backend abstractions enabling data-heavy features and ensure scalable, cost-effective data processing across multiple environments.

You will work in a globally distributed, remote-friendly team with access to the internals of the core datastore and the chance to contribute to open source projects.

Qualifications

• Strong backend engineer with a focus on database internals, query optimization and distributed systems.
• Experience with analytical databases, data pipelines, or high-throughput event processing; ClickHouse is a big plus but not required.
• Comfortable reading and writing TypeScript and SQL

Responsibilities

• Own and optimize the ingestion pipeline processing massive tracing data.
• Make ClickHouse-based storage fast and cost-efficient.
• Build infrastructure-heavy features such as LLM-as-a-Judge and large-scale alerting.
• Test with real production data to validate performance improvements.
• Scale infrastructure for future product directions and 10x growth.
• Operate Langfuse Cloud across multiple production environments and support self-hosting via Docker/Helm

Skills

Backend engineering

Database internals

Query optimization

Distributed systems

TypeScript

SQL

Education

CS degree

Quantitative degree preferred

Tools

ClickHouse

Job description

Langfuse, now part of ClickHouse, seeks a strong backend engineer to optimize ingestion pipelines and ClickHouse data models. You will design backend abstractions enabling data-heavy features and ensure scalable, cost-effective data processing across multiple environments.

You will work in a globally distributed, remote-friendly team with access to the internals of the core datastore and the chance to contribute to open source projects.