Analytics Engineer at Coinbase — Remote Europe

What We Do:

Build and maintain the Regulatory Data Mart as the single source of truth for regulatory reporting across Coinbase's international entities, handling the nuances of multi-entity, multi-jurisdiction reporting

Enable compliance stakeholders to self-serve regulatory data needs rather than depending on ad-hoc data pulls

Build AI-driven workflows that automate regulatory reporting while maintaining the highest accuracy standards

Ensure Coinbase meets regulatory reporting SLAs and stays compliant across international markets

Own end-to-end data quality through data contracts, validation checks, and monitoring

What you’ll be doing:

Design and build data models that serve as the foundation for regulatory reporting, with the entity-level granularity and definitions regulators require

Build and maintain data quality checks, monitoring, and data contracts; implement reconciliation against prior submissions

Write specs and definitions that AI tools use to generate pipelines and answer regulatory questions accurately

Standardize regulatory metric definitions, entity-specific nuances, and historical reporting decisions into durable, machine-readable formats

Partner with Compliance, Legal, and Business Operations to translate regulatory requirements into data models, and with upstream Engineering to ensure accurate, well-contracted source data

Shift progressively from handling regulatory data requests toward building automated, self-serve solutions that reduce manual effort over time

Maintain clear, structured documentation of business logic optimized for AI agent consumption, so agents can reliably trace and query regulatory data end-to-end

What We Look For in You:

You think in systems, not tasks: When something is broken or a data request lands, you move toward it and ask "how do I make sure no one ever has to do this manually again?"

You treat AI as your first collaborator: You break problems down, delegate execution to agents, and focus on what requires human judgment. You design data, metadata, and documentation so agents can reason over them without human translation. You've developed the taste to know when AI output is correct vs. just convincing

You learn fast in unfamiliar territory: You pull knowledge from people, docs, and data quickly and turn tribal knowledge into durable infrastructure. You understand that building the right platform means doing the work manually first to learn the patterns worth automating

You choose accuracy over speed and it shows: Regulatory data cannot be wrong. Data contracts, validation frameworks, quality checks. You know that trust is earned through rigor, especially when agents are generating the pipelines

You're strong in the analytics engineering fundamentals: Advanced SQL, Python, data modeling (star/snowflake, OBTs, SCDs), pipeline development (dbt, Airflow), and modern warehouse architecture (Snowflake, Databricks). These aren't resume keywords; they're tools you reach for daily

You operate independently: You proactively identify what needs to be done, and drive it forward without waiting for direction from your manager or stakeholders

Analytics Engineer

What We Do:

What you’ll be doing:

What We Look For in You:

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