Analytics Engineer
Algea Care
full-time
Posted on:
Location Type: Hybrid
Location: Frankfurt • 🇩🇪 Germany
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudPythonSQL
About the role
- Build production-grade data infrastructure
- Design, build, and maintain robust and scalable data models
- Translate business logic into data flows
- Enable self-service analytics
- Optimize data processes and workflows for efficiency
- Ensure quality and governance in data
- Implement best practices in data testing, validation, and performance tuning
- Automate data-driven processes
- Champion data quality in healthcare
- Collaborate with a lean, dynamic team
Requirements
- Deep data modeling expertise
- Extensive experience in data modeling
- Proficiency in dbt and Snowflake
- Strong SQL skills
- Proficiency in Python
- DevOps mindset for analytics
- Comfortable with version control, CI/CD pipelines, automated testing, and infrastructure-as-code
- Familiarity with at least one cloud platform
- Stakeholder-centric problem solver
- Fluent in English; German is a plus
Benefits
- Hybrid work (office in Frankfurt, 3 days a week)
- Flexible hours
- Genuine work-life balance
- Competitive compensation
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data modelingSQLPythondbtSnowflakeautomated testingCI/CD pipelinesinfrastructure-as-codedata testingperformance tuning
Soft skills
stakeholder-centric problem solvercollaborationcommunication