Introduction

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.

Tasks

• 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.

Requirements

• 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.

Benefits

• 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!

Contact

Become part of the ONCARE family and apply today with your complete application documents, stating your earliest possible starting date and your salary expectations.

We are looking forward to hearing from you!

Please not our data protection regulations on our homepage.