DevOps Engineer – Connected Health Platform

Location: Belgium (Hybrid - Liege Belgium)

Compensation: €65.000 - €75.000

Department: IT

About the Opportunity

One of our clients, a fast-growing MedTech innovator in the connected-health space, is seeking a Data Engineer to drive the development of scalable, compliant, and insight-driven data infrastructure supporting both commercial and clinical operations.

This is a hands-on role responsible for designing data pipelines, building robust models, and enabling self-service analytics that accelerate research, product development, and decision-making across multiple business units.

Key Responsibilities

ETL & Data Ingestion

• Design and monitor pipelines ingesting data from multiple internal and third-party systems (e.g., CRM, ERP, e-commerce, telephony, and flat-file sources).
• Orchestrate workflows using AWS services such as Glue, Step Functions, and Airflow.
• Ensure data accuracy, schema evolution, and full auditability.

Data Modeling & Normalization

• Build dimensional models and maintain a unified data layer across patient, order, and device domains.
• Implement privacy-by-design practices, including PII redaction and GDPR compliance.
• Version and document all models to support transparency and reproducibility.

Reporting & Analytics Enablement

• Develop and maintain dashboards for business and clinical teams.
• Enable self-service analytics through reusable components and scheduled reporting.
• Maintain a central data catalog and train stakeholders on data usage and governance.

AI/ML & Research Support

• Prepare and package curated datasets for R&D initiatives.
• Prototype and productionize machine-learning features, ensuring regulatory compliance.
• Collaborate with external partners under secure data-sharing protocols.

Business Unit Collaboration

• Serve as the primary data liaison for Marketing, Sales, Finance, and Regulatory.
• Deliver ad-hoc data requests in a timely and controlled manner.
• Proactively surface insights and recommend data-driven improvements.

Qualifications/Requirements

• 3+ years building production ETL pipelines (dbt, Airflow, Glue, Spark); strong SQL and Python skills
• Dimensional modeling, Tableau or equivalent, and data governance best practices
• Experience with pipeline monitoring tools and automated testing frameworks
• REST/GraphQL integration and secure authentication (OAuth 2.0)
• Git-based CI/CD workflows and infrastructure-as-code mindset
• Excellent English communication, documentation discipline, and stakeholder management in regulated settings

Nice to Have: AWS SageMaker, Feature Store, or HealthLake; Amplitude or similar analytics schema; Salesforce SOQL; R for statistical analysis; ISO 13485 or SOC 2 controls.

What’s Offered

o 20 days plus 10 statutory holidays

o Meal Vouchers

o Hospitalisation Insurance plan

o One day's seniority leave for each complete period of five years of service

o 13th Month Bonus

o Telecommunication Allowance

o Remote Work/Office Expense Allowance