About MyC
At MyC, we make workforce health provable everywhere our customers operate. Join the team behind it.
MyC is the workforce health platform, built by doctors for organizations that operate across sites and countries. Consultations, health surveillance, fitness-to-work and case management come together in one health record per worker, employees and contractors alike. Health professionals work in the full record; HSE, HR and company leaders see what their role needs, without medical details. We use AI to develop new features, including AI features.
Today, MyC runs on 800 sites in 67 countries, for customers including the European Union, International SOS and Ponant.
Mission
As a Data Engineer reporting to Soheib (CTO), you’ll master our complete data stack to design, build and deploy scalable data infrastructures and pipelines that unlock MyC’s data potential. Working at the intersection of technology and business intelligence, you’ll architect robust data systems handling high-volume, real-time processing while ensuring optimal performance and reliability.
In this role, your expertise will transform raw data into actionable insights, implement data governance best practices, and maintain our data ecosystem’s integrity. Working with cross-functional teams including product managers, data scientists, and software engineers, you’ll ensure seamless organizational data flow. This position offers opportunities to work with cutting-edge technologies and contribute to strategic decisions directly impacting MyC’s growth and innovation.
The role demands technical excellence and strategic thinking, as you’ll establish data standards, optimize existing workflows, and anticipate future scalability requirements supporting our expanding business needs.
In return, you’ll have freedom to elaborate strategic decisions and take responsibility for security initiatives, driving projects from conception to completion with minimal oversight and maximum impact on our security posture.
Key responsibilities
Engineering architecture
- Serve as our hands-on, go-to Data Engineer, driving the design, construction, and maintenance of the data infrastructure that powers our product and business operations, including data stores, pipelines, ELT processes, and search capabilities.
- Shape and evolve the data platform architecture to continuously enhance scalability, performance, reliability, and cost efficiency.
Delivery and execution
- Lead and execute the data and analytics roadmap to fuel business, product, and operational success.
- Collaborate closely with Engineering, Product, and Operations to understand requirements and deliver high-quality, reliable datasets that drive results.
- Drive continuous improvement of data quality, security, governance, and observability, ensuring data is accessed, processed, and stored according to internal and regulatory standards.
Data quality and compliance
- Implement robust data validation, monitoring, and alerting systems.
- Ensure comprehensive data traceability and documentation.
- Maintain healthcare-grade security standards.
- Drive compliance initiatives (HIPAA, GDPR, depending on geography).
About you
- 5+ years of experience in data engineering, building and scaling reliable data pipelines that support real business needs.
- Confident in Python and SQL, with care for clean, efficient, and maintainable code.
- Experience with modern data warehouses like Snowflake, BigQuery, or Redshift, and with optimizing both performance and cost.
- Comfortable in cloud-native environments and familiar with SaaS architectures, CI/CD, and containerized workflows.
- Strong data modeling skills, designing structures that are both scalable and easy to use for analytics.
- Hands-on experience with AWS, GCP, or Azure, applying best practices around infrastructure and security.
- A pragmatic approach to security, balancing strong protection with usability and business impact.
- At home in fast-moving environments: quick to adapt, and happy to take ownership in situations that aren’t always clearly defined.
- A clear communicator, making complex topics accessible to non-technical audiences and collaborating easily across teams.
- Comfortable working in English in an international environment.
Nice to have
- Experience in the HealthTech sector or with regulated data
- Proficiency with PHI or sensitive data
- Knowledge of security and compliance frameworks
- Experience building data pipelines for ML or LLM features