Senior Data Engineer - Oncology Analytics Platform

RaySearch develops innovative software solutions to improve cancer care. About 1000 clinics in more than 40 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe and Asia - Pacific. Today we are more than 400 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination.

RaySearch develops software that supports cancer treatment at hospitals and radiotherapy clinics worldwide.

We are looking for a Senior Data Engineer to work on RayIntelligence, an oncology analytics platform helping radiotherapy clinics turn data into actionable insights.About RayIntelligence

Radiotherapy clinics generate large amounts of clinical and operational data every day, but much of this information remains difficult to access, analyze, and act upon. RayIntelligence is designed specifically for radiotherapy clinics, bringing together data from treatment planning systems, oncology information systems, and other clinical and operational sources.

The platform enables clinics to analyze treatment workflows, patient volumes, machine utilization, resource planning, treatment patterns, and long-term outcomes. By making data more accessible and reliable, RayIntelligence helps clinics understand their operations, learn from past treatments, and continuously improve care.

For healthcare analytics to create value, clinics need confidence in the data they use. RayIntelligence ensures consistent metrics, understandable insights, and traceable data from source to result. Already deployed at customer sites, the platform is continuously expanding its analytical capabilities and adoption worldwide.

About the Role

The role spans data ingestion, integration, transformation, analytical data modeling, and the implementation of new analytics use cases.

Working in healthcare brings unique engineering challenges. Data quality, traceability, reproducibility, validation, and risk management are key aspects of our software development process. While RayIntelligence is not a medical device, we apply many of the same engineering principles and quality practices used across RaySearch.

Unlike internal analytics teams, we are building a product for environments where we do not control the source systems. This requires us to handle limited access to real-world customer data, variations between customer environments, and the challenge of creating analytics that clinics can understand and trust.

Today, the platform focuses on analytics and reporting use cases, with future AI and machine learning capabilities building on the foundations being developed. RaySearch supports the use of modern AI-assisted development tools where appropriate, while maintaining the quality standards and engineering rigor required in healthcare software.

Responsibilities

Capture and integrate data from clinical and operational source systems

Design, build, and maintain data ingestion and transformation pipelines

Develop analytical data models supporting product capabilities and customer use cases

Implement new analytics capabilities using SQL and Python

Contribute to architecture and design decisions related to scalability, maintainability, and data quality

Improve observability, traceability, and reliability across the platform

Ensure that metrics, transformations, and data flows can be understood, tested, and verified

Participate in validation, testing, and risk-management activities appropriate for healthcare software environments

Technology Stack

Our platform includes technologies and programming languages such as:

Python & SQL

PostgreSQL & SQL Server

dbt

AWS

CDC-based ingestion

Apache Superset

Your Profile

We believe successful candidates will typically have experience in several of the following areas:

SQL development

Python development

Data engineering and ELT/ETL development

Data modeling and data warehousing

Experience applying software engineering best practices to data platforms and production systems

Translating product and analytical requirements into robust technical solutions

Working with data quality, observability, testing, or traceability in production data systems

Formal education in Computer Science, Engineering, Mathematics, or a related field is beneficial. Equivalent practical experience is equally valued

Seniority is typically demonstrated through several years of professional experience designing, building, and operating production data systems

Our Culture

At RaySearch, we share a passion for innovation and the fight against cancer. Our team consists of dedicated experts who strive to deliver exceptional results through collaboration, attention to detail, and cutting-edge technology. We take pride in our role as a leader in cancer treatment, developing solutions that truly make a difference for patients worldwide.

Our Offer

We offer a dynamic and inclusive work environment in Hagastaden, Stockholm's Life Science Hub. Our modern office space includes an in-house gym, yoga classes, and social activities such as ping pong, table football, and after-work events. We also provide a fantastic lunch buffet, daily fika, and a stunning rooftop terrace with a 360-degree view of Stockholm. This comes with a competitive compensation and benefits package.

Application

Please apply for the position through the application form below. We do not accept applications via e-mail.