Analytics / Data Engineer

You will bridge technical engineering and business strategy by developing maintainable data models, collaborating closely with Product and Commercial squads, and helping shape Analytics Engineering standards in a supportive, AI-forward environment.

What you'll do

• Develop comprehensive, well-tested, and well-documented data models in dbt built for long-term maintainability
• Build and maintain scalable Python scripts powering ETL/ELT processes and company-wide automations
• Establish close working relationships with business stakeholders, clarifying requirements and explaining technical decisions
• Represent the data team within cross-functional company squads, ensuring squad changes are understood from a data perspective while supporting them with metrics and insights
• Strengthen project automation and integration using GitHub, CI/CD, observability/monitoring tools, and incident root-cause rigor
• Leverage AI tools (e.g., Claude, Copilot) to accelerate development workflows, automate repetitive data tasks, and enhance code quality

What you'll need

• Advanced SQL proficiency and strong data modeling skills, alongside solid experience writing clean, scalable Python scripts
• Proven experience with data quality testing, monitoring/alerting, maintainable transformation pipelines, and incident investigation
• Excellent communication skills in English (C1) with a proven track record of bridging the gap between engineering and non-technical business partners
• Strong desire to understand healthcare business logic, operational processes, and metric definitions beyond heads-down coding
• High self-management capability to take full ownership of tasks, adapt to team standards, and solve operational problems pragmatically
• Degree in Computer Science, Mathematics, Natural Sciences, Physics, or a related technical field (or equivalent practical experience)

What they offer

• Remote-first with flexible working hours; office optional in Berlin-Mitte or up to 90 days a year outside of Germany
• Monthly home office allowance and additional meal subsidy
• 30 vacation days per year
• Budget for learning & development, conferences, and coaching
• High level of ownership and decision-making freedom
• Access to all Caspar offerings for mental and physical well-being