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.

You'll join a growing OCCam team and contribute to transforming operations at scale.

Compensaciones / BeneficiosFlex Week: work from home up to 2 days/week

Flex Day: adaptable workday

Flex-Location: up to 30 days/year remote

Employee Wellbeing: EAP for you and dependents

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

Structured problem-solving

Collaboration with cross-functional teams

Strong documentation discipline

Python

SQL

PostgreSQL

📌 Data Engineer - Ai Skills - Barcelona
🏢 Sita - Société Internationale De Télécommunications
📍 Barcelona