Data Engineer (Barcelona)

Data Engineer (Barcelona)

15 sep
|
Sita - Société Internationale De Télécommunications
|
Barcelona

15 sep

Sita - Société Internationale De Télécommunications

Barcelona

Overview
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In this role you 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, ensuring data quality and clear data provenance. You’ll collaborate across teams to deliver reliable data for onboarding multiple airlines and documenting assumptions. This is a hands-on, cross-functional engineering role with meaningful impact on disruption management in global aviation.
Compensaciones / Incentivos
Flex Week: work from home up to 2 days/week
Flex Day
Flex-Location: up to 30 days a year from any location
Employee Wellbeing programs (EAP 24/7, Champion Health)
Professional Development: access to LinkedIn Learning, Microsofts Enterprise Skills Initiative, Pluralsight, Harvard Business Publishing, Stanford, etc.
Competitive benefits tailored to local market
Responsabilidades
Ingest heterogeneous airline systems and external sources into OCCams 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 and algorithms on reliable data
Work on several airline integrations in parallel to accelerate onboarding and maintain documentation
Map source schemas to a canonical data dictionary and document assumptions
Requisitos principales
Proficient in Python and SQL across PostgreSQL, Microsoft SQL Server and Oracle
Hands-on experience with Airflow and ETL/ELT design
Understanding of datalakes, data modeling, and canonical data model design
Experience with MSSQL linked xqbhyrx servers, schema mapping and source-system reverse engineering
Familiarity with AWS data services and data-quality frameworks
Understanding of airline operational data or ability to quickly acquire domain knowledge
Structured problem-solving for messy data and capability to collaborate in client-facing onboarding
Strong documentation discipline and a data-trust mindset
Awareness of GDPR and client data-privacy requirements
collaboration across cross-functional teams
clear communication and documentation
problem-solving with messy data
Python
SQL
PostgreSQL

📌 Data Engineer (Barcelona)
🏢 Sita - Société Internationale De Télécommunications
📍 Barcelona

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