Data Engineer: Global Aviation Data & Onboarding

Sita - Société Internationale De Télécommunications; Barcelona; 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 a year

Professional Development access

Competitive benefits tailored to local

Descripción de la vacante

Sita - Société Internationale De Télécommunications in Barcelona, Catalonia, Spain, is seeking a Data Engineer to accelerate airline onboarding by turning diverse source data into trusted data for OCCam, SITA’s AI-powered Operations Control Center. You will build a unified datalake and a canonical data model used by product, backend, and science teams.

This role focuses on data quality, provenance, and cross-functional collaboration to deliver reliable data for onboarding multiple airlines,

Formación

• Proficient in Python and SQL across multiple databases.
• Hands-on experience with Airflow and ETL/ELT design.
• Understanding of data lakes, data modeling, and canonical data model design.
• Familiarity with GDPR and client data-privacy requirements.

Responsabilidades

• Ingest heterogeneous airline systems and external sources into OCCam's data platform.
• Build a common datalake and canonical data model consumed by the product.
• Own data quality at the pipeline level with checks, reconciliation, and issue investigation.
• Partner with Back-End and Science teams to base features on reliable data.
• Work on several airline integrations in parallel to accelerate onboarding and document assumptions.

Conocimientos

Python

SQL

Airflow

ETL/ELT

Data modeling

GDPR knowledge

Documentation

Data quality

Herramientas

PostgreSQL

Microsoft SQL Server

Oracle

Descripción del empleo

Sita - Société Internationale De Télécommunications in Barcelona, Catalonia, Spain, is seeking a Data Engineer to accelerate airline onboarding by turning diverse source data into trusted data for OCCam, SITA’s AI-powered Operations Control Center. You will build a unified datalake and a canonical data model used by product, backend, and science teams.

This role focuses on data quality, provenance, and cross-functional collaboration to deliver reliable data for onboarding multiple airlines,