- Connected Objects, Health
Depuis octobre 2013, FeetMe développe des dispositifs médicaux connectés pour améliorer la mobilité. Avec le vieillissement de la population et le développement des maladies chroniques, la perte de mobilité est un enjeu de santé publique majeur.
Leur ambition ? Devenir le premier partenaire mondial dans la détection précoce des troubles de la marche et de l’équilibre et l’amélioration de leur prise en charge.
Comment ? En développant des semelles avec des capteurs de pression et de mouvement et un logiciel embarqué qui analyse la marche et récolte des données en vie réelle.
FeetMe is a digital health company developing innovative connected technologies and services to improve patient outcomes in functional care, track disease evolution, and optimize medication utilization.
The innovative technology from FeetMe allows gait and posture analysis in real-time and real-life conditions. The technology combines pressure sensors, motion sensors and learning algorithms to analyse patients’ functional capacity, as well as empower rehabilitation among sufferers of gait disorders.
FeetMe is growing quickly, its first product FeetMe Evaluation for diagnostics assistance for health professionals and for clinical research within pharma is on the market already. The company is preparing the launch of FeetMe Rehabilitation, a solution intended for home-based rehabilitation of patients suffering from walking difficulties.
FeetMe is looking for a Data Engineer with experience in automation in the field of clinical development. You will help to build and maintain functional systems that improve customer experience and scale IT infrastructure to match pharmaceutical industry and medical device standards.
Data Engineer responsibilities include developing, maintaining and testing data pipelines that will help the data science team.
As part of the Data Engineer responsibilities, it also includes:
expanding and optimizing our data flow and data pipeline architecture
identifying, designing and implementing internal processes improvements, automating manual processes for data cleansing, data validation and data transformation
Developing tools for data collection and data quality check process for clinical studies, proposing data formats allowing for an easy data validation, analysis and processing
assembling large, complex data sets and making sure they meet clinical industry requirements
participating in the redefinition of the infrastructure for optimal extraction, transformation and loading of data from a wide variety of data sources, in order to reach a greater scalability
working hand in hand with data, analytics and IT experts to strive for greater functionality in our data systems
You’ll join a team of 8 software engineers who develop the embedded software for the insole, the mobile applications and the web platform.
You’ll have a strong interaction with the different departments at FeetMe. You’ll work in FeetMe offices in a young and challenging ecosystem.
We are looking for a talented profile with the following requirements :
Work experience as a Data Engineer or similar software engineering role
Comfortable with Google Cloud Platform
Good knowledge with a scripting language, such as Node or Python
Experience with relational SQL and NoSQL databases
Experience building and optimizing ‘big data’ pipelines of ETL chains with GCP, architectures and data sets for data cleansing and data validation
Building processes supporting data transformation, data structures, metadata, dependency and workload management
Problem-solving attitude and excellent communication skills ;
BSc in Computer Science, Engineering or relevant field Open minded culture and will to learn new technologies
Comfortable with bash, git, CI/CD (such as Gitlab-CI)
The following competence will be a plus:
Previous experience in Health related companies
Knowledge in Terraform and Infrastructure as Code tools
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