Data Engineer Specialist MDM (Master Data Management) - 100%

About the job

Data Engineer Specialist MDM (Master Data Management) - 100%

• Full time
• HUG contract type: Private law contract
• Department: Directorate of Digital Transformation and AI

Company description

With more than 12,000 employees representing 160 professions, the University Hospitals of Geneva are a nationally and internationally recognized institution. To learn more about our institution, take a few minutes to discover the highlights of the year 2024 by clicking here.

The Directorate of Digital Transformation and AI (DTN-AI) creates, integrates, and manages all IT applications of one of the most efficient hospital information systems to support the clinical and logistical activities of the University Hospitals of Geneva. With a fleet of more than 12,500 workstations, 1,300 servers for over 250 applications serving all staff, available 24/7, the DTN-AI manages an HR information system for the 13,000 employees of the HUG and 7 other Geneva institutions, as well as a powerful ERP for the most complex logistical and financial processes.

The DTN-AI creates an integrated patient record at the forefront of the sector and contributes to the reputation of the HUG thanks to recognized functional richness and close collaborations with all health professionals and their transversal management. Furthermore, the DTN-AI integrates cutting-edge and everyday biomedical equipment as well as specialized applications for all medico-technical platforms.

The mission of the DTN-AI is to support daily activities and build the future of a modern and efficient hospital, according to the strategic axes of the Institution, relying on best practices and the most demanding standards.

Job description

You strengthen the strategic area of Master Data Management (MDM) as a data engineer specialist. You work closely with the MDM manager to ensure the quality, governance, integrity, and availability of reference data used by more than 250 applications within the institution.

As a data specialist, you analyze functional needs and translate them into technical specifications. You are responsible for integrating reference data into the MDM solution while defining and managing the flows upstream and/or downstream of the platform. You configure the MDM solution respecting current standards, while ensuring the quality of the work performed and its impact on patient care.

In a cross-functional approach, you collaborate with DTN-AI development specialists to ensure the reliability and performance of the MDM platform and its technical components, facilitating the integration of the reference data into various business applications.

You review existing processes, identify improvement levers, and contribute to the dissemination of best practices in development and reference data management. You lead the user community of the platform, in connection with the DTN-AI teams, and participate in studies conducted at the DTN-AI level to contribute to the overall evolution of the institution's information system.

You demonstrate curiosity and maintain technological watch to enrich your skills and anticipate developments in the field.

Qualifications

Holder of a Master’s degree in computer science or an equivalent diploma, you have at least five years of experience in data engineering in a complex environment and have already participated in an MDM project allowing you to understand the challenges related to reference data management.

You master data engineering and possess advanced skills in SQL. You also develop in Java and/or Python, enabling effective communication with development specialists.

Knowledge of the Semarchy application, distributed architectures based on microservices, and ideally Kafka, is an asset.

On the interpersonal level, you stand out for your ability to collaborate within multidisciplinary teams. You favor clear and constructive communication, promoting the exchange of best practices, mutual support, and continuous improvement within the team.

You know how to simplify technical concepts, listen actively, and understand business needs. You adopt a rigorous and thoughtful approach, guarantee data quality, and manage priorities professionally.

You demonstrate autonomy in information research and adopt a solution-oriented approach. You enjoy taking on challenges in a demanding and complex environment.

Additional information

• Start date: to be agreed
• Number of positions: 1
• Activity rate: 100%
• Function class: 20
• Contract: 12-month renewable private law fixed-term contract
• Application deadline: 30.10.2025
• Contact for information: Mr. E. Durand, Head of Data and Decision Support, Emmanuel.Durand@hug.ch

Your application file must include a letter demonstrating your motivation, your curriculum vitae, copies of diplomas and certificates required for the position, and the last 2 work certificates.

This announcement is addressed equally to women and men.

Wishing to engage in the fight against unemployment, the HUG encourage applications coming from the Cantonal Employment Office.

Only applications submitted via the recruitment platform will be considered. Paper and email applications will not be processed.