Cachet

Senior Data Engineer

Cachet

full-time

Posted on:

Location Type: Hybrid

Location: TallinnEstonia

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About the role

  • Build & maintain scalable data pipelines to transform raw insurance and platform data into reliable, structured datasets
  • Develop data models and analytics integrations to support reporting, dashboards, and advanced analytics for Product, Finance, Insurance, and other teams
  • Collaborate closely with our data scientist, engineers, product manager, and stakeholders from Sales, Insurance, and Finance
  • Lead end-to-end data engineering projects: design, implement, test, deploy, document
  • Drive data quality, governance, and best practices to ensure stakeholders can confidently make data-driven decisions

Requirements

  • Strong Python and SQL skills
  • Experience with building ETL workflows (Airflow) and relational databases (PostgreSQL)
  • Familiarity with AWS and Docker
  • Excellent communication skills; ability to collaborate across teams
  • Passion for turning messy data into actionable insights
  • Experience in insurance, mobility, or gig economy industries (Nice to Have)
Benefits
  • Competitive salary and stock options
  • A chance to build something new, from the early stages before major growth
  • Hybrid setup, with flexible hours and work location
Applicant Tracking System Keywords

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

Hard Skills & Tools
PythonSQLETL workflowsAirflowrelational databasesPostgreSQLdata modelinganalytics integrationsdata qualitydata governance
Soft Skills
communicationcollaborationleadershipproblem-solvingdata-driven decision making