Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткие задачи по инженерии данных, современный стек, обучение и гибкие условия делают вакансию привлекательной, но без зарплаты сложно оценить финансовую сторону.
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Зарплата не указанаАктуальный стекПонятные задачиИИ в авиацииРесурсы для развитияГибкость в работе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (AI): Building a common data lake and canonical data model for OCCam, an AI-powered airline operations control center, with an accent on heterogeneous data ingestion, pipeline quality, and airline-system integration. Focus on mapping source schemas, designing ETL/ELT workflows, investigating data issues, and delivering trusted data for product and science teams.
Location: Barcelona, Spain. Hybrid setup with work from home up to 2 days per week depending on team needs; up to 30 days per year may be worked from any location in the world.
Company
hirify.global provides technology and communications solutions for airports, airlines, borders, and the global air travel industry.
What you will do
Ingest heterogeneous airline systems and external sources into OCCam's data platform.
Build a common data lake and canonical data model for product, Back-End, and Science teams.
Own pipeline-level data quality through checks, reconciliation, and issue investigation.
Partner with Back-End and Science teams to support reliable product features and algorithms.
Manage several airline integrations in parallel to accelerate client onboarding and maintain organized, well-documented delivery.
Map airline source schemas into a canonical data dictionary and document assumptions clearly.
Requirements
Proficiency in Python and SQL across relational databases such as PostgreSQL, Microsoft SQL Server, and Oracle.
Hands-on experience with Airflow and ETL or ELT design.
Understanding of data lakes, 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 ramp up on, AWS data services and data-quality frameworks.
Understanding of airline operational data, including schedules, crew, assignments, and qualifications, or readiness to build this domain knowledge quickly.
Structured problem-solving for messy real-world data and ability to collaborate in client-facing onboarding situations.
Strong documentation discipline and a data-trust mindset.
Understanding of personal-data handling, including crew data, under GDPR and client data-privacy requirements, plus knowledge of Airline Operations Management and the operational, commercial, and customer-service challenges faced by airlines.
Nice to have
Experience with airline operational systems such as Netline, SCHEDOPS, XCREW, or similar.
Culture & Benefits
Inclusive environment across 200 countries, with 60 languages and cultures represented.
Flex Week allows working from home up to 2 days per week depending on team needs.
Flex Day supports adapting the workday to personal plans.
Flex-Location allows working from any location in the world for up to 30 days per year.
Employee Assistance Program and Champion Health wellbeing platform are available to employees and dependents.
Professional development is supported through LinkedIn Learning, Microsoft's Enterprise Skills Initiative, Airport Council International, Pluralsight, Harvard Business Publishing, Stanford, and other learning programs, alongside competitive benefits based on local market and employment status.
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