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Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (AI) (Python/SQL/Airflow): Building a common datalake and canonical data model by ingesting heterogeneous airline systems and external sources for an AI-powered operations control solution, with an accent on data integration, pipeline quality, and airline onboarding. Focus on mapping complex source schemas, designing reliable ETL/ELT pipelines, and solving data-quality challenges while supporting product and science teams.

Location: Barcelona, Spain. Hybrid work with work-from-home up to 2 days per week, depending on team needs.

Company

hirify.global provides technology and communication solutions for airports, airlines, borders, and the global air travel industry.

What you will do

  • Ingest heterogeneous airline systems and external sources into the OCCam data platform.
  • Build a common datalake and canonical data model for product, Back-End, and Science teams.
  • Own pipeline-level data quality through checks, reconciliation, and issue investigation.
  • Support several airline integrations in parallel to accelerate client onboarding.
  • Map airline source schemas into a canonical data dictionary and document assumptions.
  • Collaborate with product, Back-End, Science, and client-facing onboarding teams.

Requirements

  • Proficiency in Python and SQL with relational databases including PostgreSQL, Microsoft SQL Server, and Oracle.
  • Hands-on experience with Airflow and ETL or ELT design.
  • Understanding of datalakes, data modeling, and canonical data model design.
  • Experience with MSSQL linked servers, schema mapping, and source-system reverse engineering.
  • Experience with, or ability to quickly learn, AWS data services and data-quality frameworks.
  • Knowledge of airline operational data, structured problem-solving, strong documentation discipline, and understanding of GDPR and client data-privacy requirements.

Nice to have

  • Experience with airline operational systems such as Netline, SCHEDOPS, XCREW, or similar.
  • Airline Operations Management knowledge.

Culture & Benefits

  • Hybrid work environment with flexible work-from-home arrangements.
  • Flex Day to adapt the workday to personal plans.
  • Ability to work from any location in the world for up to 30 days per year.
  • Employee Assistance Program and Champion Health wellbeing platform.
  • Access to professional development platforms and programs, including LinkedIn Learning, Pluralsight, and Harvard Business Publishing.
  • Competitive benefits aligned with the local market and employment status.

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