Unumed believes in a world where technology allows scarce healthcare resources to reach more patients with better care. To realize this vision, we developed Unumed HMS, a smart Hospital Management System based on a modern cloud native architecture. Unumed HMS is already being used to manage 30+ hospitals in 6 different countries in Africa and Asia, and we are planning an expansion to many other markets (including Europe).

We are seeking a seasoned Data Engineer to join our AI and Data team. In this role, you will play a pivotal part in the development and implementation of data platforms, business intelligence and AI solutions, that use the extensive clinical and financial data collected in our system to revolutionize how healthcare resources are utilized and patient care is delivered.

About the position

Our AI and Data team is looking for a Senior Data Engineer to build, deploy and scale the next generation data infrastructure and business intelligence functionalities in our hospital management system. You will be reporting to Marco, our Chief Data Officer, and will work closely with the broader engineering organization on ML/data-related features in Unumed HMS.

Your main responsibilities will be:

• Designing a data stack that facilitates low-latency/real-time analytics and the development of AI applications in Unumed HMS

• Managing ELT between our MongoDB application database and an analytical database or data warehouse using CDC

• Applying data modelling to structure warehouse data in a way that’s efficient, future-proof and maintainable

• Enabling dashboards and business intelligence, both internally and for our HMS users, by implementing and maintaining a business intelligence platform and user-facing reports

• Ensuring robustness and reliability through testing, monitoring and observability

Ideally, you bring the following technical skills...

• Expert knowledge of the Python programming language

• Knowledge of relational/non-relational databases

• Familiarity with all levels of the modern data stack

• Proven track record of building and managing a data warehouse or analytical database

• Extensive experience with ELT/ETL and CDC

• Experience with a BI platform

• Familiarity with data modeling for data warehouses, e.g. dimensional modeling

• Familiarity with dbt or similar data transformation tools

• Proficiency with SQL and Python’s data science stack (numpy, pandas, duckdb, polars..)

• Familiarity with CI/CD tools (e.g. jenkins) and data orchestration tools such as Airflow or Dagster

As a person, you…

• Have 4+ years of experience working as a Data Engineer or similar role

• Are structured and able to prioritize multiple projects

• Have willingness and demonstrated ability to learn about new technologies and industries

• Bring a positive attitude and new perspective

• Are a skilled communicator

Join us

We encourage individuals from all backgrounds to apply, so please reach out even if you believe you only cover 70% of the requirements. You will have ample opportunities to learn the rest!

The position is full-time and starts as soon as possible. We offer a competitive salary and company benefits. We have an office in the city center of Copenhagen and follow a hybrid work model with flexible working hours.

Want to have a life-changing impact and join the team that is empowering the human in healthcare? Click the 'Apply' button!