Senior Data Engineer

September 22, 2026

Hybrid

Senior

Amsterdam, Paris, Netherlands

Important before applying

This job has conditions that may affect your decision to apply

Degree required

Description

DeepHealth is hiring a Senior Data Engineer to own key data topics across products, from dataset creation and data export to annotation workflows and performance monitoring. The role involves designing reusable pipelines, dashboards and automation, making data architecture and tooling decisions, and mentoring junior data team members. You will work closely with radiologists, product managers, AI engineers and clinical research scientists to support medical product development, building medically consistent and representative datasets that shape AI algorithm performance.

Responsibilities

Own one or several data topics across products, such as dataset creation, data export, annotation workflows, and performance monitoring, and drive them end to end
Design and maintain reusable tooling, including pipelines, dashboards, and automation, for the data team and for stakeholders who need to access, explore, or use the data
Make structuring decisions on technical implementation, team tooling, and data architecture, and maintain codebase quality and process efficiency
Surface actionable insights from the data lake by identifying, structuring, and delivering relevant information to product, AI, and clinical stakeholders
Drive the targeting and collection of relevant data
Build and structure medically consistent and representative datasets
Establish annotation guidelines and training so annotation quality stays consistent
Contribute to ongoing oversight and refinement of AI algorithm performance
Mentor more junior data team members through technical guidance and knowledge sharing
Write automated tests and apply code versioning and review standards to data processes and tools

Requirements

Master's degree in a health-related or scientific field (required)
5+ years of relevant experience in data management, data engineering, or data science, ideally in healthcare or medical imaging (required)
Excellent proficiency in Python and database query languages, with comfort working with databases such as BigQuery and MongoDB (required)
Ability to structure, document, industrialize, and optimize data processes and tools (required)
Experience writing automated tests and working with code versioning and review (required)
Knowledge of medical imaging and of how data and annotations shape AI algorithm development (required)
Strong reasoning, attention to detail, and an analytical and scientific mindset (required)
Ability to translate needs between technical and less technical stakeholders and to mentor others (required)
Ability to manage multiple topics in parallel while maintaining a broader view of product and data priorities (required)
Preferred: machine learning understanding
Preferred: experience with medical device development

Conditions

Office or hybrid work format with locations in Paris or the Netherlands
The position may require occasional travel
Regular attendance and punctuality in accordance with working hours, meal and rest breaks

PythonBigQueryMongoDBhealthcare / medical imagingMachine LearningMedical Device Development

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