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Salary: EUR 63,000 - 99,000 / annual
Affirm is hiring an Analytics Engineer to own and optimize the finance data platform that powers accounting, reporting, reconciliations, and automation across the organization. You will work with dbt and Snowflake to build and maintain the single source of truth for financial data.
Key Responsibilities:
- Build and maintain dbt models and core datasets supporting Accounting reporting and downstream automation use cases
- Improve platform reliability through strong testing patterns, alerting, and runbooks
- Own and document data pipelines and lineage, ensuring changes are understandable and auditable
- Identify, troubleshoot, and resolve production data issues; drive root-cause fixes
- Optimize performance and cost in Snowflake and dbt to support scaling needs
- Partner with engineering and business stakeholders to translate requirements into durable, well-tested data assets
- Contribute to team best practices in version control, code review, documentation, and release hygiene using GitHub-based workflows
This role is ideal for someone who enjoys operational ownership, building strong foundations, and making data systems easier and safer to run at scale. You will have the opportunity to work on mission-critical financial systems in a fast-moving fintech environment.
Requirements:
- 3+ years of experience in analytics engineering, data engineering, or similar roles working with production data systems
- Strong SQL skills and hands-on experience building in dbt (modeling, testing, documentation)
- Experience operating in a modern development workflow: Git and pull-request based collaboration (GitHub preferred), familiarity with standard IDEs and collaborative debugging practices
- Experience working with cloud data warehouses (Snowflake preferred)
- Strong sense of ownership and comfort working in ambiguous, fast-moving environments
Nice to Have:
- Finance/accounting data familiarity (close concepts, reconciliations, ledger-style modeling)
- Experience with integration/automation platforms (Workato, Fivetran, or similar)
- Experience supporting reporting layers and BI tooling
- Working knowledge of Python for data manipulation and automation
- Familiarity with CI pipelines and quality gates for code quality, testing, and build validation
- Interest in applying AI-assisted development responsibly within engineering guardrails
