Nansen

Est. expiry Sep 17

Last seen Oct 7

Posted Aug 13 · 55 days ago

Open 55 days, longer than the usual 20 for this role

Senior Data Engineer

Data Engineer
Remote Europe
HybridEuropeFull-time, Senior
Estimated €4,714 - €6,214
At a glance

Senior Data Engineer at Nansen, remote Europe, path to Engineering Manager.

Original job description

Talent Wanted. For hazardous journey. Small wages, bitter cold, long months of complete darkness, constant danger, safe return doubtful. Honour and recognition in case of success. Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain: charting entirely new territory. Nansen is the onchain analytics platform traders and funds use to see what's actually happening on-chain. We label and track 500M+ blockchain addresses, the largest such dataset in the industry. Our mission: Surface the signal and create winners. This seat also comes with a defined runway: you'll start as an IC, with a clear path to Engineering Manager within 12–18 months for the right person. What you'll do at Nansen You'll work with data engineers and ML engineers to build the data infrastructure that powers Nansen's customer-facing analytics product. 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. At most analytics companies a wrong number is a support ticket. Here, it's a position someone took. 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 What we're looking for 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, so most decisions get made in writing Bonus: experience leading or managing projects in a smaller team, fluency in onchain data structures, Web3 technologies, and crypto markets What we offer our crew Competitive salary. Meaningful equity. Real ownership in what you build Fully remote with support for in-person co-location Annual company retreat and team off-sites in Singapore, Bangkok, or Oslo, with flights and accommodation covered Unlimited AI tokens Your own OpenClaw for work Nansen Pro account: full access to the most detailed onchain data in the market Speed, ownership, curiosity, courage, transparency, simplicity A front-row seat (and a hand in building) the next chapter of finance Work visa sponsorship is not provided for this role. Safe return doubtful. Honour and recognition in case of success.

The text above is the employer's original job description, extracted as written. Other details on this page, like salary, responsibilities, and requirements, are interpreted from that text by our system, not values the employer explicitly confirmed, so treat them as our best interpretation rather than verified facts.

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Skills & Technologies
ClickHousePostgresPythonDbtCursorClaude CodeMCPs
How this salary compares
Estimated €4,714 - €6,214Est. take-home €3,285 - €4,024

Estimated from 33 comparable listings

25% below senior roles
€3,400€5,750 median€11,101
Monthly salary comparison for Data Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
senior roles€4,500 per month€5,750 per month€9,129 per month
This offer€4,714 per month€5,464 per month€6,214 per month
Responsibilities
  • Design, build, and scale data pipelines and infrastructure
  • Run pipelines behind 500M+ addresses
  • Partner with researchers and engineers to shape data modeling
  • Own data quality, reliability, observability
  • Mentor other data engineers
  • Use AI tools to improve efficiency
Requirements
  • Shipped and scaled high-performance data systems in production
  • Deep expertise in SQL and Python
  • Hands-on experience in dbt, ClickHouse, and Postgres
  • Strong grasp of streaming data architectures
  • Full data stack experience: ingestion, transformation, storage, modeling, serving
  • Experience with Cursor, Claude Code, MCPs
  • Clear written communication in a remote/asynchronous team
  • Bonus: leadership or project management in small teams, on-chain data structures, Web3, crypto markets
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Nansen · 1 open roles
Top locations (all time): Remote Europe · 1
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LocationActive listings
Remote Europe1
Current role mix at Nansen on JobCrawls
Role typeActive listings
Data Engineer1
Current role-level mix at Nansen on JobCrawls
Role levelActive listings
Senior1

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