Data Engineer


  • Long term
  • Paris
  • No remote
  • Between 15 and 50 persons
Social mission

Depuis octobre 2013, FeetMe développe des dispositifs médicaux connectés pour améliorer la mobilité.

Job description

FeetMe est une jeune startup du domaine médical qui cherche à résoudre le problème des troubles de la mobilité́. Fort de notre expérience dans l’analyse de la marche, nous développons des solutions technologiques (objet connecté et applications) pour accompagner les patients dans le suivi et la gestion de leur maladie chronique avec des bio marqueurs numériques et des outils de suivi des études en vie réelle pour les patients, les médecins et les groupes pharmaceutiques.
FeetMe connait une forte croissance. Un premier produit d’aide au diagnostic pour les professionnels de santé a déjà̀ été́ commercialisé et FeetMe prépare le lancement de la V2 à destination des patients. L’équipe a remporté de nombreux concours et aides publiques (Concours Mondial de l’Innovation, Création Développement, FUI notamment) et a réalisé une levée de fonds lui permettant d’assurer son développement.

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 ;
 Team spirit
 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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More informations
  • 157 bd MacDonald
  • Website
  • Unknown
  • Posted on 04-29-2021
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