Data Engineer, Data Modeling

Softway Medical Group

Data Engineer at Softway Medical responsible for extracting and managing healthcare data. Join a growing company to leverage data science in the healthcare sector.

Posted 8/3/2026full-timeParis • 🇫🇷 FranceJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data modeling, ingestion pipeline design, and data transformation is essential for optimizing healthcare data management. Strong focus on data quality metrics and compliance with ISO 27001 ensures the integrity and confidentiality of personal health data.

Highest-signal resume keywords

Data ModelingIngestion Pipeline DesignData TransformationData Quality MetricsISO 27001 Compliance

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Hard Skills

Data ExtractionData ValidationData DocumentationData AggregationStatistical Analysis

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

Data WarehouseData PlatformQuerying ToolsOrchestration Tools

Certifications & Qualifications

ISO 27001 Certification

Industry Keywords

Healthcare DataUnstructured DataPatient RecordsNational Reference VocabulariesInternational Standards

Tech Stack

Tools & technologies

Flux

About the role

Key responsibilities & impact

Joining Softway Medical means becoming part of a growing group committed to projects with real impact, at the intersection of domain expertise and technological innovation.
Thanks to your expertise, it becomes possible to exploit unstructured data from patient records. You will propose and implement methodologies for their extraction, validation and documentation.
We are currently building the Group's data warehouse, a cross-functional foundation intended to unify, structure and enhance our healthcare data to support research, management and improvement of care.
Turning our data into a trusted, usable and compliant asset.

Requirements

What you’ll need

Contribute to selecting data models used to standardize and leverage structured and unstructured data from patient records and other data sources.
Design, implement and orchestrate ingestion pipelines for the data platform from sources to national reference vocabularies and international standards.
Develop and optimize transformations, compute aggregates, and produce statistics and indicators.
Create data quality metrics and contribute to the technical-functional documentation of processes.
Contribute to the implementation and evaluation of tools for data transformation, querying and orchestration.
Help establish data operation best practices within the data platform.
As part of your duties, you may process personal health data. You will be responsible for the confidentiality and integrity of this data, in compliance with ISO 27001.

Benefits

Comp & perks

Master's degree (Bac+5) in Computer Science, Data Science, Statistics or equivalent
Significant experience (minimum 2 years) in designing and populating analytical databases or data warehouses, ideally in healthcare.
You naturally model processes as star schemas.
You are well-versed in SQL.
You can write optimized queries to process large volumes of data efficiently.
You are also proficient in data science languages such as Python or R.
Knowledge of Health Data Warehouse (EDS) or Health Data Platform (PDS) environments is a plus.
You have implemented data standards and models such as the OMOP Common Data Model, as well as mapping support tools.
You are recognized for your rigor, analytical ability and attention to detail.
Autonomous and proactive, you are constantly seeking to improve quality; your colleagues can rely on you to deliver high-quality results.
You enjoy sharing your knowledge widely to improve colleagues' practices.