About CarePay
The growth engine for visionary health insurers worldwide
CarePay helps insurers launch new markets and segments - faster, leaner, and with full control. From first pilot to scaled operations, we power growth with the tech and support to get you there.
Founded in Kenya in 2015, CarePay started by solving real-world challenges in health insurance - disconnected systems, high costs, and limited access. What began as a mobile health wallet now powers end-to-end health insurance operations in Kenya and the Middle East.
By digitizing and automating claims and payments, we help hospitals get paid faster and reduce costs. We put members in control with real-time access to benefits, claims, and coverage - improving trust and unlocking new health insurance models.
Role Description
This role will be based either in Nairobi, Kenya or in Amsterdam, Netherlands.
The Data Generalist is an individual contributor in the Data team, operating across the full data lifecycle. In a small, highly autonomous team, this role focuses primarily on data engineering and backend engineering, with some involvement in data science and analytics engineering, emphasizing end-to-end delivery, stakeholder impact and continuous learning.
Data Engineering & Backend Engineering
- Maintain and improve the data infrastructure using Snowflake, AWS, Terraform and Kubernetes, always keeping in mind reliability, security and cost
- Orchestrate, refactor and troubleshoot
ETL pipelines in Airflow
- Develop FastAPI microservices that expose the data products, from simple reports to advanced rules-based and ML systems
- Monitor data quality alerts and raise occurring issues to other development teams
- Collaborate with the Data Lead on architectural decisions and technical improvements
Analytics Engineering & Data Modelling
- Build and maintain analytics models using dbt, following best practices such as star schemas and dimensional modelling
- Adapt ETL pipelines to evolving data models
- Ensure analytical datasets are reliable, well-documented, and optimised for self-service BI and downstream consumption
- Occasionally work on ad-hoc analyses and customer-facing dashboards
Machine Learning & Advanced Analytics
- Design, build, and productionise machine learning models
- Develop user-facing ML and AI products and proof-of-concepts using tools such as scikit-learn, LLMs, Streamlit and FastAPI
Collaboration & Mentorship
- Actively collaborate with other Data team members through pairing sessions and informal mentorship
- Share best practices across data, backend and ML engineering
- Reach out to other technical leads to clarify backend logic, data semantics, or system behaviour required for data initiatives
Ownership & Stakeholder Interaction
- Lead data projects end-to-end with minimal supervision, from requirements gathering to delivery
- Proactively spot opportunities for improvements in the data infrastructure and ML/AI adoption
- Understand and articulate trade-offs between technical solutions, delivery speed, and stakeholder needs
- Translate complex technical concepts into clear, business-oriented language
- Occasionally present and explain data products, insights, and deliveries directly to stakeholders
Requirements
- 3+ years of experience in a data-related role
- Proficiency in Python, SQL, dbt and Airflow
- Experience building, maintaining, and documenting APIs in Python (preferably FastAPI)
- Familiarity with modern DevOps practices – Cloud (AWS preferred), IaC (Terraform), CI/CD, Kubernetes
- Familiarity with data science/ML concepts
- Strong curiosity and willingness to learn
- Good understanding of data tooling landscape, ability to pick a right tool for the job while keeping a pragmatic mindset
- Nice to have: Some experience with LLMs/Agentic AI, Streamlit, Frontend development
Why join us?
We're transforming the healthcare insurance sector through cutting-edge fintech solutions. Our platform connects patients, premium payers, insurers, and healthcare providers, reducing costs and enhancing transparency across the entire healthcare value chain.
Come work in an innovation-driven culture where collaboration is valued and your ideas can shape the future of healthcare access.
We provide competitive compensation, professional development opportunities and the change to work with cutting-edge technology while making meaningful impact.
Ready to give everyone the power to care? Join us.
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What We Do
With a mission to provide healthcare access to more people worldwide, CarePay addresses the fundamental data access and data quality challenges faced by health insurers and their insured members. In an era where AI is disrupting industries, access to high-quality data is essential. CarePay addresses these challenges by offering a health insurance platform that connects members, payers, and healthcare providers in real-time, managing claim payments and personalized information flows efficiently. The technology prepares the healthcare sector for an AI-driven future by ensuring transparent, high-quality data insights, intrinsically designed to protect the privacy of its clients and to meet stringent standards such as GDPR. Want to learn more? Visit our website or get in touch!
