Senior Data Engineer - Oncology Analytics Platform

RaySearch Laboratories AB (publ); Stockholms kommun; On-site; SEK 750,000 - 1,100,000; Full time

Benefits offered by this job

In-house gym

Yoga classes

Table football

After-work events

Lunch buffet

Daily fika

Rooftop terrace

Job summary

RaySearch Laboratories AB (publ) in Stockholm is seeking a data engineer to help ingest, transform, and model data from clinical and operational sources. You will build analytics use cases and ensure data quality for healthcare analytics.

You will implement analytics capabilities with SQL and Python, contribute to scalable architecture, and work within a healthcare software environment focused on reliability and traceability.

Qualifications

• SQL development and data engineering experience.
• Python development and ETL/ELT implementation.
• Data warehousing and modeling experience.
• Experience applying software engineering best practices to data platforms.
• Several years of production data systems experience.

Responsibilities

• Ingest and integrate data from clinical and operational sources.
• Build and maintain data ingestion and transformation pipelines.
• Develop analytical data models for product capabilities.
• Implement analytics capabilities using SQL and Python.
• Support data quality, observability, and testability.
• Contribute to scalable architecture decisions.
• Participate in validation and risk-management activities.

Skills

SQL development

Python development

Data engineering

ELT/ETL development

Data modeling

Production systems

Requirements translation

Education

Computer Science / Engineering / Mathematics degree beneficial

Tools

PostgreSQL

SQL Server

dbt

AWS

CDC-based ingestion

Apache Superset

Job description

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 such as data quality, traceability, reproducibility, validation, and risk management. While RayIntelligence is not a medical device, we apply many of the same engineering principles and quality practices used across RaySearch. We are building a product for environments where we do not control the source systems, which requires handling limited access to real‑world customer data, variations between customer environments, and 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.

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

• Python & SQL
• PostgreSQL & SQL Server
• dbt
• AWS
• CDC‑based ingestion
• Apache Superset

Your Profile

• 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 demonstrated through several years of professional experience designing, building, and operating production data systems

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.

Equal Employment Opportunity Statement

We believe in equal opportunities, value diversity and work actively to prevent discrimination.