About Us

Ryanair Labs are currently recruiting for a Data Engineer to join Europe’s Largest Airline Group
This is a very exciting time to join Ryanair as we look to expand our operation to 800 aircraft and 300 million guests within the next 10 years.
Ryanair Labs is the technology brand of Ryanair. Labs is a state of-the-art digital & IT innovation hub creating Europe’s Leading Travel Experience for our customers.
Description

Key Responsibilities
- Design and develop automated ELT processes ensuring a high level of data quality and reliability, using tools such as Spark, Apache Airflow, DBT, Python, Databricks, etc.
- Build and maintain batch and real-time data processing using Apache Kafka and AWS services like SNS, SQS, and Kinesis, supporting microservice architectures.
- Maintain the data lake in AWS and Databricks, building well-governed, query-oriented data models for efficient consumption.
- Implement monitoring and observability for the pipelines you work on.
- Collaborate cross-functionally, assisting other teams in identifying, collecting,



and processing valuable information for diverse business use cases.
- Support the Data Science team by helping ensure stable, scalable environments for model deployment and experimentation.
- Build and maintain CICD pipelines, following best practices for automatic deployment and consistency.
- Help administer and maintain deployed infrastructure.
- Follow and contribute to engineering standards and best practices across the Data Engineering team.
- Deliver work on time, managing your own priorities in line with team commitments.

Requirements

Skills and Experience Required
- 3+ years in data engineering or related data processing roles.
- Strong experience working with varied data formats and sources (JSON, CSV, Parquet, APIs, multiple DB engines).
- Hands-on experience with data modelling in Big Data platforms (e.g. Databricks, Glue, Snowflake).
- Familiarity with event-driven architectures and AWS.
- At least 2 yea

📌 Data Engineer (España)
🏢 Ryanair Dac
📍 España