Senior Data Engineer (Backend Development Experience) (f/m/d)

At myoncare, we don’t just develop software – we are building an international health ecosystem that redefines care. Our platform connects patients, clinics, doctors, and partners within a single, intelligent system, creating something unprecedented: continuous, secure, and personalized care around the clock.

We don’t just work with data – we turn it into smarter, safer, and more impactful healthcare solutions. Join us as a Senior Data Engineer (f/m/d) and help build robust systems, optimize data flows, and deliver insights that truly make a difference for patients, clinics, and partners worldwide.

• Follow the full software development lifecycle (SDLC) with a focus on data-driven systems.
• Analyze system flows, data usage, and end-to-end data processing workflows.
• Identify data-related problem areas, optimize performance, and resolve pipeline issues.
• Lead and contribute to multiple Scrum teams, providing technical guidance and mentorship.
• Enforce clean, secure, and scalable data engineering best practices.
• Design and implement robust data architectures for internal products and external data interfaces.
• Design, develop, and optimize ETL/ELT pipelines to extract, transform, and load healthcare data from diverse sources.
• Ensure data quality, integrity, security, and compliance through effective data governance and management practices.
• Collaborate closely with data analysts and stakeholders to deliver KPI dashboards and custom reports, leveraging BI tools.
• Maintain and continuously improve data infrastructure to support performance, scalability, and reliability.
• Research, evaluate, and implement new tools, technologies, and best practices to enhance data workflows and platform capabilities.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• 7+ years of professional experience in Data Engineering or a closely related backend/data-focused role.
• Strong understanding of data structures and algorithms.
• Excellent proficiency in Python for data processing and pipeline development.
• Strong experience with SQL and NoSQL databases.
• Proven experience building and optimizing ETL/ELT pipelines, preferably in the healthcare domain.
• Hands-on experience with data processing and orchestration frameworks such as Apache Spark, Airflow, or similar tools.
• Experience designing and consuming RESTful APIs for data integration.
• Solid understanding of Git-based workflows and version control.
• Experience with Docker and containerized data applications.
• Strong knowledge of clean, secure, and maintainable coding practices.
• Familiarity with Agile/Scrum methodologies.
• Excellent documentation skills for technical and non-technical audiences.
• Proficiency with BI and visualization tools such as Power BI, Tableau, or Qlik.

Soft Skills

• Strong team-oriented mindset with a reliable and proactive attitude.
• Excellent problem-solving and analytical thinking skills.
• Clear and effective communication skills.
• Fluent in English, both written and verbal.
• Comfortable delivering internal and external presentations.
• Strong organizational and time-management skills.
• Demonstrated understanding of leadership principles and cross-team collaboration.

Nice to Have

• Experience with healthcare data standards such as HL7, FHIR, or DICOM.
• Knowledge of data privacy and security regulations (e.g., HIPAA, GDPR).
• Frontend development experience for dashboard integration or data visualization.
• Exposure to cloud platforms such as AWS, Azure, or GCP.

• Competitive salary with performance-based growth
• Central located office with plenty of lunch options
• Global team shaping the future of healthcare
• Coffee and tea stations for daily recharge
• Employee discounts
• Networking opportunities with sister companies (sqanit & CONVIEN) for professional growth

Contribute to the digitalization of healthcare and take visionary step into the future with us!