Nansen

Senior Data Engineer – Integrations

Nansen

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇪🇺 Anywhere in Europe

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Job Level

Senior

Tech Stack

PythonSQLWeb3

About the role

  • Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse, Python, and dbt.
  • Build systems that handle large-scale streaming and batch data, with a strong emphasis on correctness and operational stability.
  • Own the end-to-end lifecycle of data pipelines, from raw ingestion to clean, well-defined datasets consumed by downstream teams.
  • Improve pipeline observability, data quality checks, and failure handling to ensure predictable operation at scale.
  • Collaborate closely with data consumers (data engineers, product engineers, researchers) to define clear dataset contracts and schemas.
  • Use AI tools and agents such as Cursor, MCPs, and LLMs to accelerate development, automate repetitive work, and boost quality.
  • Bring fresh thinking to the table, staying current with best practices and evolving your toolkit over time.

Requirements

  • Proven experience building and operating production data pipelines that run continuously and reliably.
  • Strong data engineering and software engineering fundamentals, with deep experience in Python and SQL.
  • Hands-on experience with ClickHouse and dbt in production environments.
  • Solid understanding of streaming and batch ingestion patterns, including backfills, reprocessing, and schema evolution.
  • Comfortable working across the data infrastructure stack: ingestion, transformation, storage, and exposure to downstream systems.
  • Experience designing clean, reusable datasets intended as foundations for other teams.
  • Experience using AI-powered tools in day-to-day development, with a natural curiosity to push boundaries.
  • Clear written and verbal communication skills, well-suited for a remote-first, async environment.
  • A pragmatic, execution-oriented mindset with a strong sense of ownership.
  • Experience with, or strong interest in, blockchain data structures, crypto, and Web3 technologies.
Benefits
  • competitive compensation and benefits package tailored to a remote-first environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLClickHousedbtdata pipelinesdata ingestiondata transformationdata storagedata quality checksstreaming and batch processing
Soft skills
communication skillscollaborationpragmatic mindsetexecution-orientedcuriosityproblem-solvingownershipadaptabilitycritical thinkingcreativity