Full-Time Analytics Engineer

• As an Analytics Engineer, you'll be responsible for designing clean, reusable data models that unlock operational insights and power data-driven tools.
• You’ll work cross-functionally across Data Insights, Product & Engineering, and Business to build analytics systems that scale.
• You’ll help us protect honest people online by:
  • Build and maintain sustainable dbt models aligned with business logic and stakeholder workflows
  • Own model development for core operational and customer-facing analytics use cases
  • Support the self-service tooling initiative by building reliable, permissioned data foundations
  • Translate complex raw datasets into clear, documented, analyst-ready structures

• Have 3+ years of experience in analytics engineering or BI development with strong SQL and solid intermediate level Python proficiency
• Have production experience with dbt in a version-controlled environment
• Understand scalable data pipelines and cloud-based data environments (e.g. Redshift, BigQuery, Snowflake)
• Know how to build models that are reusable, auditable, and stakeholder-aligned
• Care deeply about sustainable pipelines, naming conventions, testing, and metadata
• Translate business problems into scalable model logic
• Communicate clearly across technical and non-technical teams
• Thrive in cross-functional and hybrid work environments

• A high-impact role shaping analytics foundations for mission-critical operations
• The opportunity to own major data model domains and unlock scalable self-service
• A culture that values engineering discipline, systems thinking, and shared ownership
• Flexibility to work from Tallinn or Spain

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