Remote Data Engineer: Airline Data Platform & Data Lake

Sita - Société Internationale De Télécommunications; Madrid; Híbrido; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flex Week: work from home up to 2 days

Flex Day

Flex-Location: up to 30 days remote

Employee Wellbeing program

Professional Development

Competitive Benefits

Descripción de la vacante

SITA is hiring Data Engineers to accelerate airline onboarding by ingesting heterogeneous systems and turning them into trusted data for OCCam, our AI-powered Operations Control Center. You will build a common datalake and canonical data model, owning data quality and partnering with backend and science teams to deliver reliable features and algorithms.

You will work on multiple airline integrations, documenting assumptions and accelerating client onboarding while maintaining a strong data-trust

Formación

• Proficient in Python and SQL across major RDBMS.
• Hands-on with Airflow and ETL/ELT design.
• Experience with datalakes and canonical data modeling.

Responsabilidades

• Ingest heterogeneous airline systems and external sources into OCCam's data platform.
• Build a common datalake and canonical data model for the product to read from.
• Own data quality at the pipeline level, including checks and issue investigation.
• Partner with Back-End and Science teams to ensure data reliability for features and algorithms.
• Work on multiple airline integrations in parallel to accelerate onboarding and maintain documentation.
• Map source schemas into a canonical data dictionary and document assumptions.

Conocimientos

Python

SQL

Airflow

ETL/ELT

Data modeling

Canonical data model

MSSQL

Schema mapping

Reverse engineering

AWS data services

Data quality

GDPR familiarity

Herramientas

PostgreSQL

Microsoft SQL Server

Oracle

AWS

Descripción del empleo

SITA is hiring Data Engineers to accelerate airline onboarding by ingesting heterogeneous systems and turning them into trusted data for OCCam, our AI-powered Operations Control Center. You will build a common datalake and canonical data model, owning data quality and partnering with backend and science teams to deliver reliable features and algorithms.

You will work on multiple airline integrations, documenting assumptions and accelerating client onboarding while maintaining a strong data-trust