Data Engineer (Aviation)

TL;DR

Data Engineer (Aviation): Building and optimizing data pipelines for hirify.global’s AI-powered Operations Control Center with an accent on ingesting heterogeneous airline systems and designing canonical data models. Focus on ensuring high data quality, mapping complex source schemas, and collaborating with backend and science teams to support airline disruption management solutions.

Location: Must be based in Barcelona, Spain (Hybrid role with up to 2 days/week work from home).

Company

hirify.global is a global technology provider for the air travel industry, powering 95% of international airports and serving over 2,500 transportation and government clients.

What you will do

• Ingest heterogeneous airline systems and external sources into the data platform.
• Build a common datalake and canonical data model for product and science teams.
• Own data quality at the pipeline level, including reconciliation and issue investigation.
• Partner with backend and science teams to ensure reliable data for algorithms.
• Map airline source schemas into a canonical data dictionary.
• Manage multiple airline integrations in parallel to accelerate client onboarding.

Requirements

• Proficiency in Python and SQL (PostgreSQL, MS SQL Server, Oracle).
• Hands-on experience with Airflow and ETL/ELT design.
• Understanding of datalakes, data modeling, and canonical data model design.
• Experience with MSSQL linked servers, schema mapping, and reverse engineering.
• Knowledge of GDPR and data privacy requirements for handling personal data.
• Ability to work in a hybrid setup in Barcelona.

Nice to have

• Experience with airline operational systems such as Netline, SCHEDOPS, or XCREW.
• Familiarity with AWS data services and data-quality frameworks.

Culture & Benefits

• Flex Week: Work from home up to 2 days per week.
• Flex-Location: Opportunity to work from any location in the world for up to 30 days per year.
• Comprehensive wellbeing support via Employee Assistance Program and Champion Health.
• Extensive professional development through platforms like LinkedIn Learning, Pluralsight, and Harvard Business Publishing.
• Inclusive and diverse work environment operating across 200 countries.