Senior Analytics / Data Engineer (all identities)

Role Overview

As a Senior Analytics / Data Engineer, you will bridge technical engineering and business strategy, developing maintainable data models, collaborating closely with Product and Commercial squads, and helping shape our Analytics Engineering standards in a supportive, AI-forward environment.

What You Will Do

Your main day-to-day responsibilities will include developing comprehensive data models, building and maintaining scalable Python scripts, establishing close working relationships with business stakeholders, and representing the data team within cross-functional company squads.

Why It Might Be a Fit

To be a fit for this role, you will need strong technical expertise, excellent communication skills, and a proven track record of bridging the gap between engineering and non-technical business partners. You should also have a strong desire to understand healthcare business logic and operational processes.

Requirements

• Advanced SQL proficiency
• Strong data modeling skills
• 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)
• Degree in Computer Science, Mathematics, Natural Sciences, Physics, or a related technical field (or equivalent practical experience)

Benefits

• Remote-first with flexible working hours
• Home office allowance
• Meal subsidy
• 30 vacation days per year
• Budget for learning & development, conferences, and coaching
• High level of ownership and decision-making freedom
• Genuine collaboration
• Access to all Caspar offerings for mental and physical well-being
• Snacks, group sports sessions, a never-empty drinks fridge, and a healthy dose of humor