Senior Data Engineer – Oncology Analytics Platform (Stockholm)

RaySearch Laboratories AB (publ)

Stockholms kommun

On-site

SEK 750,000 - 1,100,000

Full time

14 days+
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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

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.

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