05 nov
|
Sita - Société Internationale De Télécommunications
|
Barcelona
05 nov
Sita - Société Internationale De Télécommunications
Barcelona
OverviewIn this role, you will accelerate airline onboarding by ingesting diverse source systems and turning them into trusted data for OCCam, SITA's AI-powered Operations Control Center.
You will build a common datalake and a canonical data model used by product, back-end, and science teams.
You'll own data quality at the pipeline level and partner with cross-functional teams to ensure reliable data for disruption management solutions.
This is a hands-on, multi-airline integration role with a focus on scalable data platforms and accurate data foundations.
Compensaciones / BeneficiosFlex Week: work from home up to 2 days/week
Flex Day: adaptable workday
Flex-Location: up to 30 days/year remote
Champion Health - wellbeing platform
Professional Development and learning programs
ResponsabilidadesIngest heterogeneous airline systems and external sources into OCCam's data platform
Build a common datalake and canonical data model that the product reads from
Own data quality at the pipeline level, including checks, reconciliation and issue investigation
Partner closely with Back-End and Science teams so product features and algorithms are built on reliable data
Work on several airline integrations in parallel, accelerating client onboarding and keeping delivery organized and well documented
Map airline source schemas into a canonical data dictionary and document assumptions clearly
Requisitos principalesProficient in Python and
SQL
across relational databases (PostgreSQL, Microsoft SQL Server, Oracle)
Hands-on experience with Airflow and ETL/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 ramp up on, AWS data services and data-quality frameworks
Understanding of airline operational data (schedules, crew, assignments) or willingness to learn quickly
Structured problem-solving with messy real-world data and collaboration in client onboarding
Strong documentation discipline and a data-trust mindset
Understanding of GDPR and client data-privacy requirements
Python
SQL
PostgreSQL
📌 Data Engineer AWS (Airflow) (Barcelona)
🏢 Sita - Société Internationale De Télécommunications
📍 Barcelona