Airline Ops Data Engineer - Hybrid & AI Pipelines

Airbus; Coimbra; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working model

Airbus learning offer

Multicultural environment

Global career opportunities

Job summary

Airbus Portugal SA is seeking a professional data engineer to design and optimize data pipelines, dashboards, and AI agents within the Airline Operations Intelligence team. You'll work on Skywise and Palantir Foundry, handling large-scale data and distributed architectures.

The ideal candidate has a master’s in engineering or CS, 3+ years’ experience, and strong Python/PySpark skills, with fluent English. The role is in a hybrid setup at Parque das Nações, Lisbon area, with opportunities across

Qualifications

• This role requires a master degree in engineering or computer science.
• 3+ years of experience as a data engineer with large data volumes.
• Proficient in Python, PySpark and distributed computation.
• Strong understanding of AI solutions and time series processing.
• English fluency is essential.

Responsibilities

• Create/maintain/optimise data pipelines following project guidelines.
• Create/maintain/optimise BI dashboards and AI agents.
• Work on Skywise/Palantir Foundry platforms.
• Contribute to data architecture and scalable distributed computations.
• Collaborate in an Agile Scrum team and drive initiatives.

Skills

Python

PySpark

Distributed computation

English fluency

Education

Master's degree in engineering or computer science

Tools

Skywise

Palantir Foundry

Job description

Airbus Portugal SA is seeking a professional data engineer to design and optimize data pipelines, dashboards, and AI agents within the Airline Operations Intelligence team. You'll work on Skywise and Palantir Foundry, handling large-scale data and distributed architectures.

The ideal candidate has a master’s in engineering or CS, 3+ years’ experience, and strong Python/PySpark skills, with fluent English. The role is in a hybrid setup at Parque das Nações, Lisbon area, with opportunities across