Nansen Logo

Nansen

Senior Data Engineer

Posted 10 Days Ago
Remote
Hiring Remotely in Greece
Senior level
Remote
Hiring Remotely in Greece
Senior level
Design, build, and scale high-performance data pipelines and infrastructure (ingestion, transformation, storage, modeling, serving) using ClickHouse, Postgres, Python and dbt. Manage data quality, reliability, and observability at terabyte and 500M+ address scale, collaborate with researchers and product, mentor engineers, and leverage AI tools to accelerate work.
The summary above was generated by AI

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.

Similar Jobs

3 Days Ago
Remote
Senior level
Senior level
Gaming • News + Entertainment
Design and optimize scalable batch and streaming data pipelines across cloud platforms. Implement data observability, governance, security controls, CI/CD, and metadata management. Collaborate with domain teams on data contracts and platform standards while supporting a transition to Data Mesh architecture. Evaluate emerging technologies to improve scalability and efficiency in a production-grade data platform.
Top Skills: AirbyteApache AirflowAWSAzureCi/CdDagsterData LakeData MaskingData MeshDatabricksDelta LakeEncryptionGitlabGrafanaKafkaPythonRole-Based Access ControlScalaSpark
4 Days Ago
Remote
Senior level
Senior level
Information Technology • Consulting
Design and build scalable real-time and batch data pipelines for programmatic advertising, processing bid streams, impressions, revenue, and auction data. Develop ETL/ELT workflows, data models, warehouses, and lakes supporting yield optimization and analytics. Integrate SSPs, DSPs, ad servers, and reporting APIs; implement data quality monitoring, anomaly detection, privacy compliance, and performant infrastructure for BI and analytics teams.
Top Skills: AdjustAmazon KinesisAmazon RedshiftApache AirflowSparkAppsflyerAWSBigQueryCcpaClickhouseDbtGCPGdprGoogle Ad ManagerGoogle Pub/SubIndex ExchangeInfrastructure As CodeKafkaKochavaMagniteOpenrtbPrebid AnalyticsPubmaticPythonSnowflakeSQLXandr
11 Days Ago
Remote
Senior level
Senior level
Gaming
Own and evolve the core data platform: warehouse design, dbt transformations, and production AWS pipelines. Refactor and harden API-driven data flows, ensure observability and testing, partner with backend and product teams, and contribute to data-aware backend features to deliver reliable, product-focused data.
Top Skills: AWSBigQueryDatabricksDbtPythonRedshiftSnowflakeSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account