Data Engineer - Healthcare Data & Interoperability
Summary
Data Engineer building pipelines to ingest, transform, and harmonize clinical data from hospital systems, applications, and APIs for a healthcare interoperability project in Portugal. Core stack includes Python, SQL, REST APIs, and healthcare standards like FHIR, HL7 v2, and CDA.
Who we are
Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.
We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.
With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.
Neotalent, the responsive people.
Find out more about us at www.neotalentconclusion.com.
Role Overview
We are looking for a Data Engineer – Healthcare Data & Interoperability to join our teams in a highly impactful healthcare project focused on the integration, transformation, and harmonization of clinical data from multiple healthcare systems and institutions.
You will play a key role in building scalable data solutions, enabling interoperability across complex healthcare ecosystems, and supporting the adoption of industry standards and best practices for healthcare data management.
What you will do
- Develop and maintain data ingestion, transformation, and processing pipelines for clinical and healthcare data;
- Integrate data from hospital systems, clinical applications, APIs, and heterogeneous data sources;
- Design and implement data mapping, normalization, and harmonization processes, including the adoption of common healthcare data models;
- Develop and consume REST APIs, including interoperability solutions based on FHIR resources;
- Ensure data quality, traceability, consistency, security, and governance throughout the data lifecycle.
What you are like
- Experience with Python and SQL for large-scale data processing and transformation;
- Knowledgeable in data modelling, data quality, governance, and large-scale data management;
- Experienced in healthcare data integration and interoperability environments;
- Familiar with healthcare interoperability standards such as HL7 v2, FHIR, and CDA;
- Knowledgeable in clinical messaging standards, including ADT, ORU, ORM, and SIU;
- Experienced in implementing or integrating FHIR-based APIs and healthcare integration solutions;
- Comfortable working autonomously and engaging with both technical and non-technical stakeholders;
- Proficient in English.
Why join us
- Work on challenging projects for big clients;
- Learn more about emerging technologies;
- Possibility of working remotely;
- Design your career plan;
- Access to continuous training and certifications;
- Evolve through our internal mobility program;
- … and much more!