Web3 Jobs & Crypto Jobs Where crypto teams hire. Where builders get found.

Analytics Engineer

Company: Coinbase
Location: Hybrid – Luxembourg
Salary: €122,900 EUR (annual base)
Type: Full-time

About the Company

Coinbase is uncompromising on its mission to increase economic freedom. The company is a remote-first, but not remote-only organization. Employees are expected to gather quarterly for intense in-person working sessions called "surges."

About the Role

The Compliance Data team, part of Coinbase's Platform organization, builds the trusted, certified data foundations that every regulatory obligation at Coinbase depends on. As an Analytics Engineer, you'll design, build, and maintain the production-grade data models and pipelines that downstream regulatory reporting, analytics, and AI workflows build on. This role blends data engineering discipline with analytical instincts—you'll build durable foundations while supporting live regulatory exams, audits, and time-sensitive data requests.

Responsibilities

• Design, build, and maintain production-grade data models and pipelines at the core of the Compliance Data Mart (CDM), covering user, transaction, and compliance data across retail and institutional product lines, owning the full lifecycle from architecture through deployment and maintenance
• Build data quality checks, data contracts, validation logic, and monitoring that protect the integrity of foundations before issues propagate into regulatory reports or downstream workflows
• Partner with upstream engineering teams to fix data gaps and absorb product changes at the source, taking accountability for data issues anywhere in the stack
• Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data, balancing deadline-driven reactive work with long-term foundational projects
• Automate recurring manual workflows into scalable pipelines and self-serve tooling, building durable infrastructure that enables downstream teams and AI agents to answer their own questions
• Perform front-line on-call duties, triage pipeline incidents, contribute to root cause analysis, and maintain clear technical documentation and runbooks

Requirements

• 2+ years of experience building and maintaining production data pipelines and data models, with daily proficiency in SQL, Python (scripting, automation, OOP), dbt, Airflow, and modern warehouse architecture (Snowflake or Databricks)
• Demonstrated experience with data modeling patterns (star/snowflake schemas, OBTs, SCDs) and building certified or canonical data models that serve multiple downstream consumers
• Track record implementing data quality frameworks including data contracts, validation logic, reconciliation, and monitoring to catch issues before they reach downstream reports
• Experience supporting time-sensitive, high-stakes data needs (regulatory exams, audits, or financial reporting) while maintaining accuracy standards under pressure
• Proven ability to work independently, scoping and driving foundational data work end-to-end without waiting for direction, and converting tribal knowledge into durable, documented infrastructure
• Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality