Backend Software Engineer

1 week ago


Helsinki, Uusimaa, Finland Nordhealth Full time
About Us

Nordhealth is a global software company dedicated to improving the daily lives of healthcare professionals. We develop software that empowers veterinary and therapy professionals to provide the best possible care experiences for their patients.

Our products are used by thousands of professionals in clinics and hospitals across multiple countries. With extensive experience in healthcare and veterinary software, we excel in our field.

Why Work with Us?

We believe that diversity is essential to delivering innovative solutions that meet the evolving needs of our clients. That's why we are a remote-first company, headquartered in Helsinki, Finland, with a team of over 400 employees working together to achieve common goals.

Our customer base is growing rapidly in Europe and North America, and while our market presence is strongest in the Nordics, we welcome talented individuals from around the world to join our team.

The Role

We are looking for a skilled Senior Full Stack Engineer to join our Data & AI team. As a key member of our team, you will contribute to the entire lifecycle of data-driven reporting features, including integration, deployment, and management.

You will report directly to the Staff Data Engineer and work closely with Product Managers, Designers, and fellow Engineers to translate reporting requirements into robust software features that are accurate, performant, and user-friendly.

Main Responsibilities
  • Integrate and manage data systems within our data infrastructure, ensuring seamless deployment and scaling in a clustered environment.
  • Design, build, and maintain reliable front-end features for client-facing reports using modern JavaScript frameworks such as Vue.js or React.
  • Develop backend APIs and services using Python frameworks (e.g., Django) to connect reporting logic with our data stores.
  • Optimize data flows and database interactions to ensure accuracy, performance, and efficient query response times for reporting use cases.
  • Build intuitive and performant front-end reporting components that allow clients to interact with complex datasets seamlessly.
  • Collaborate closely with stakeholders to understand analytics requirements and deliver features that support business and clinical decision-making.
  • Continuously improve our development processes, automation, and observability of data pipelines and front-end services.


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