Senior Data Engineer

Senior Data Engineer at Nansen (remote, Europe). Build and scale onchain analytics data infrastructure with ClickHouse, Postgres, Python, dbt, streaming/batch data. IC role with path to Engineering Manager.

Nansen is the onchain analytics platform traders and funds use to see what's actually happening on-chain, labeling and tracking 500M+ blockchain addresses - the largest such dataset in the industry. You'll work with data engineers and ML engineers to build the data infrastructure that powers Nansen's customer-facing analytics product. This seat starts as an IC with a clear path to Engineering Manager within 12-18 months for the right person. Responsibilities: - Design, build, and scale data pipelines and infrastructure in ClickHouse, Postgres, Python, and dbt - Run the pipelines behind 500M+ labeled addresses, moving terabytes of streaming and batch data every day - Partner with crypto researchers, software engineers, and product to shape how data gets modeled, surfaced, and productized - Own data quality, reliability, and observability end-to-end - Mentor other data engineers and raise the technical bar across the team - Use AI tools and agents to move faster and cut the busywork out of your day

- You've shipped and scaled high-performance data systems in production - Deep expertise in SQL and Python, with real hands-on experience in dbt, ClickHouse, and Postgres - Strong grasp of streaming data architectures, comfortable operating at genuine scale - You work the full data stack: ingestion, transformation, storage, modeling, serving - You already build with tools like Cursor, Claude Code, and MCPs - You write clearly - this team is remote and async - Bonus: experience leading or managing projects in a smaller team; fluency in onchain data structures, Web3 technologies, and crypto markets

Remote - Europe Starts as an IC with a clear path to Engineering Manager within 12-18 months.