Data Engineer – Apache Airflow, Spark, AWS

Job not on LinkedIn

🕒 May 28

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 57%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HumanIT Digital Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

HumanIT Digital Consulting is a human-centered digital consulting and talent services firm that helps organizations find, onboard and grow people while delivering digital transformation and IT-related consulting. The company emphasizes people-first values and offers services to both jobseekers and hiring companies across offices in Portugal and Switzerland. HumanIT positions itself as a partner for businesses seeking human talent and for professionals seeking career opportunities in digital and IT roles.

📋 Description

• Join a mission-driven health technology company building a global evidence network • Part of a core data engineering team responsible for designing and operating pipelines • Ingest, transform, and standardize real-world health data • Translate complex source data structures into recognized healthcare data standards (FHIR, OMOP-CDM) • Ensure data quality, security, and scalability across the platform • Work in a fast-paced, engineering-led environment

🎯 Requirements

• 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

🏖️ Benefits

• Fully remote position