Data Engineer

AdvanceWorks; Portugal; On-site; EUR 55,000 - 75,000; Full time

Job summary

AdvanceWorks is seeking a Data Engineer to join the team and help shape a healthcare data platform. You will design data models, build ETL/ELT pipelines, and ensure secure handling of health data while enabling analytics and reporting for decision-makers.

You will work with Azure (Data Factory, Synapse) and Power BI, collaborating with data, security, and business specialists to deliver impact across European healthcare projects.

Qualifications

• 3–4+ years of professional experience in Data Engineering or data-focused projects.
• Mandatory experience in healthcare projects or working with health data.
• Bachelor's degree 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/HTTPS, AES-256), access control, and GDPR.
• Fluent English, written and spoken.

Responsibilities

• Design and implement data models for both operational and analytical systems, including dimensional models and star schemas.
• Build and operate ETL/ELT pipelines that integrate heterogeneous data sources, using Azure Data Factory, Synapse, dbt, or equivalent tools.
• Orchestrate data workflows and implement data quality controls, validation rules, and pipeline monitoring.
• Ensure secure handling of health data, applying encryption, access control, anonymisation/pseudonymisation, and GDPR across all environments.
• Support clinical data exchange and standardized data export, working with health data standards such as FHIR.
• Develop data models and dashboards in Power BI to deliver insights to stakeholders.
• Contribute to responsible AI practices in projects handling sensitive personal data.
• Take ownership of work packages and deliverables, acting as a point of contact with stakeholders.

Skills

Data Modeling

ETL/ELT pipelines

Python or R

English proficiency

Data privacy & GDPR

Education

Bachelor's degree

Tools

Azure Data Factory

Azure Synapse

dbt

Power BI

Job description

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/HTTPS, 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;