Data Engineer

At AdvanceWorks, we learn together, grow together, and have fun together. And we do all this while creating great software solutions for clients across many industries and geographies.
We are constantly challenging ourselves and each other to use the latest technologies and the best methodologies, making sure we always walk the talk.
What will be your role We are looking for a
Data Engineer
with proven experience in the healthcare domain to join our team and help shape the data platform of a leading public healthcare organization in Europe. This is a project with real impact: you'll design and build the data foundations that turn clinical and health information into secure, high-quality, and interoperable data, supporting analytics, reporting, and better decisions across the healthcare system. You'll work in a cross-disciplinary team alongside data, security, and business specialists, taking ownership of key parts of a solution that handles some of the most sensitive data there is.
Your responsibilities will include
Designing and implementing data models (conceptual, logical, and physical) for both operational (OLTP) and analytical systems, including dimensional models and star schemas;
Building and operating
ETL/ELT pipelines
that integrate heterogeneous data sources, using
Azure Data Factory, Synapse, dbt, or equivalent tools ;
Orchestrating data workflows and implementing data quality controls, validation rules, and pipeline monitoring;
Ensuring the secure handling of health data, applying encryption, access control, anonymisation/pseudonymisation, and
GDPR requirements across all environments ;
Supporting clinical data exchange and standardised data export, working with health data standards such as
FHIR ;
Developing
data models and dashboards in Power BI
to deliver meaningful insights to stakeholders;
Contributing to the responsible and structured use of AI in projects involving sensitive personal data;
Taking ownership of work packages and deliverables, acting as a point of contact with stakeholders and driving continuous improvement;
What should you bring to the team
3-4+ years
of professional experience in Data Engineering or data-focused projects;
Proven experience in healthcare projects or working with health data (mandatory) ;
Bachelor's degree (minimum)
in Computer Science, Software Engineering, Information Systems, or a related field;
Hands-on experience designing and operating
ETL/ELT processes
and data pipelines, ideally on
Azure (Data Factory, Synapse) ;
Strong data modelling skills (normalisation, OLTP, data warehousing, dimensional modelling) and proficiency in Python or R for data processing;
Solid knowledge of information security and data protection, including encryption (TLS/ AES-256), access control, and GDPR;
Fluent English, written and spoken;
Nice to have
Experience with health data standards, clinical data structures, and FHIR;
Experience with Power BI (or equivalent), including data models and DAX measures;
Experience with workflow orchestration tools such as Airflow;
Knowledge of responsible AI practices in projects handling sensitive personal data;
Previous involvement in digital transformation or strategic data projects;
What is in it for you
An amazing informal culture of smart, hardworking, and friendly people who support and care about each other;
A mentorship program from day one;
The opportunity to work on a large-scale health data platform with real impact on the healthcare system;
Formal training and certifications;
Access to cutting-edge tools and technologies;
A dynamic company where your ideas matter more than job titles;
Flexibility with responsibility;
A Rubber Duck to help you talk through those tricky data puzzles;