About the role

We are looking for an experienced Senior Data Engineer to join an international team working on advanced data intelligence solutions within the aviation industry.

The team is responsible for collecting, processing and enriching large volumes of airline operational data from multiple sources. The resulting data is transformed into valuable insights and delivered to various internal stakeholders through data products, reports and BI dashboards.

The role involves working with big data environments, processing billions of data records and developing scalable, high-performance data solutions.

Location: Lisbon

Your responsibilities

• Design, develop, maintain and optimise data pipelines, following modern data engineering practices.

• Build and maintain BI dashboards to support data-driven decision-making.

• Develop, maintain and optimise AI agents and related solutions.

• Work primarily with the Skywise / Palantir Foundry platform.

• Apply your knowledge of distributed computing, data architecture and advanced data engineering principles.

• Collaborate with developers within an Agile Scrum environment.

• Take ownership of assigned projects, contribute ideas and actively share knowledge with the team.

What we are looking for

• Master's degree in Engineering, Computer Science or a related field.

• At least 3 years of professional experience in Data Engineering, including hands-on experience with large-scale data processing.

• Excellent knowledge of Python and PySpark.

• Strong understanding of distributed computing and data architecture.

• Good knowledge of AI solutions and their practical applications.

• Experience with time-series data processing.

• Fluent English.

Nice to have:

• Experience or knowledge of the airline industry.

• Background in Data Science.

• Experience with Palantir Foundry or similar data platforms.

Benefits

• Meal vouchers.

• Additional benefits.

• Diverse career opportunities across European core countries and other international locations.

• Hybrid working model, combining onsite and remote work.

• Modern office with convenient public transportation connections.

• Motivated and collaborative team environment, with opportunities to contribute to the growth and development of the organisation.

• Comprehensive and engaging onboarding experience.