Data Engineer (Apache Airflow/Spark/AWS) - Full Remote Portugal

Data Engineer (Apache Airflow/Spark/AWS) - Full Remote Portugal - HumanIT Digital Consulting | Career Page

Data Engineer (Apache Airflow/Spark/AWS) - Full Remote Portugal

Portugal, Portugal

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Job Openings Data Engineer (Apache Airflow/Spark/AWS) - Full Remote Portugal

About the job Data Engineer (Apache Airflow/Spark/AWS) - Full Remote Portugal

ABOUT THE OPPORTUNITY

Join a mission-driven health technology company operating at the intersection of real-world data and patient outcomes. This organization is building a global evidence network that enables healthcare organizations to access harmonized, privacy-preserving datasets — directly impacting how treatments are evaluated and improved for patients worldwide.

This is a fully remote, senior-level consulting engagement where data pipelines are not just infrastructure — they are the product. You'll work in a fast-paced, engineering-led environment alongside talented people who care deeply about the quality and impact of their work.

Language requirement

English B2 (Upper Intermediate) minimum — daily collaboration with international teams is expected.

PROJECT & CONTEXT

You will be part of a core data engineering team responsible for designing and operating the pipelines that ingest, transform, and standardize real-world health data. The work involves translating complex source data structures into recognized healthcare data standards (FHIR, OMOP-CDM), ensuring data quality, security, and scalability across the platform.

The tech stack includes

Apache Airflow, Apache Spark, AWS Redshift, Trino, ClickHouse, Dagster, and Airbyte, with heavy use of SQL and Python.

WHAT WE'RE LOOKING FOR (Required)

• Advanced SQL skills — complex transformations, performance optimization, data modeling
• Strong Python proficiency for pipeline development and automation
• Proven senior-level track record as a Data Engineer, with experience scaling data products from pilot to production
• Hands-on experience building and optimizing big data pipelines, architectures, and datasets using tools such as Apache Airflow and/or Apache Spark
• Experience with AWS technologies (Redshift, S3, or equivalent managed services)
• Strong analytical skills when working with unstructured and semi-structured datasets
• Solid understanding of data science and Big Data concepts
• Excellent written and verbal communication skills in English (B2+)
• Self-driven, ownership mentality, proactive approach to problem-solving

NICE TO HAVE (Preferred)

• Experience with health data frameworks: OMOP-CDM and/or FHIR
• Familiarity with additional stack components: Dagster, Trino, ClickHouse, Airbyte
• Experience with data quality assurance, writing test specifications and test case scenarios
• Background working in healthcare or life sciences data environments
• Experience in agile/continuous delivery engineering teams

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