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.
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 NansenYou'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
- 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
- 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
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
Digital Media • Fintech • Gaming • Sports
Design, build and maintain Zero-ETL scalable data pipelines and Redshift data models. Develop and manage Airflow workflows, integrate multiple data sources, ensure data quality and availability, optimize queries and warehouse performance, monitor and resolve platform issues, document pipelines and collaborate with analysts and stakeholders on architecture and analytics needs.
Top Skills:
Amazon RdsAmazon RedshiftApache AirflowAWSSQLZero-Etl
Fintech • Software • Analytics • Financial Services
Lead design and ownership of a cloud-native data platform: build scalable batch ETL and ingestion pipelines, develop analytical models (Athena/Redshift/ClickHouse), integrate data workflows with microservices on ECS, ensure data quality/observability, performance tuning, implement IaC and CI/CD, and mentor engineers.
Top Skills:
Amazon AthenaAmazon EcsAmazon Kinesis FirehoseAmazon RedshiftAmazon S3Aws AppflowAws DmsAws GlueAws LambdaAws Step FunctionsCi/CdClickhouseCloudFormationEventbridgeJavaKinesisPythonSparkSQLSqsTerraform
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
