Data Engineer - AI skills - barcelona

In 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.

• Flex Week: work from home up to 2 days/week
• Flex Day: flexible 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

• Ingest 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

• Proficient 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