Senior Data Engineer - Data & AI

## Responsibilities - Design, build and operate data pipelines for analytics, A/B testing and AI/ML use cases. - Take responsibility for long-term evolution of data solutions, not only initial delivery. - Design analytical data models for business metrics, experimentation and decision-making. - Translate business KPIs into robust and trustworthy data models. - Work with software engineers to design real-time and event-driven data collection pipelines. - Ensure ingestion pipelines are scalable, cost-efficient and resilient. - Implement validation and quality checks for freshness, volume, schema and distributions. - Define and monitor data SLAs/SLOs. - Build strategies for backfills, reprocessing and recovery from data issues. - Contribute to Apotea’s data platform architecture. - Improve standards, tooling and best practices across the platform. - Work with CI/CD and Infrastructure as Code for reliable deployments. ## Requirements - Strong experience as a Data Engineer working with end-to-end data solutions. - Deep understanding of data modeling for analytics and data-driven products. - Experience with lakehouse architectures and modern analytical stacks. - Experience building pipelines for analytics, A/B testing and AI/ML. - Ability to understand business metrics, communicate insights and drive actions from data. - Strong understanding of data quality, validation and observability. - Familiarity with CI/CD and Infrastructure as Code, such as Terraform, CDK or CloudFormation. - Software engineering mindset: readable code, testing, versioning and ownership. - Ability to balance fast delivery with long-term platform maturity. - Excellent communication skills and a collaborative, product-oriented mindset. ## Nice to Have - Experience with A/B testing platforms or experimentation frameworks. - Exposure to MLOps or feature store concepts. - Familiarity with event-driven architectures and streaming systems. - Experience with AWS and cloud-native data platforms. - Familiarity with API/Event-first design and Test Driven Development (TDD). ## Benefits - A stable, future-focused company with a meaningful mission to improve healthcare accessibility. - Work on AI, ML and automation projects that impact millions of customers. - Work with modern cloud-native technologies such as serverless, AI, automation and event-driven systems. - Join a flat, agile organization with minimal bureaucracy. - Grow through training, mentorship and industry conferences. - Collaborate in a cross-functional and transparent environment. - Own projects from concept to deployment.