Ryanair Labs are currently recruiting for a Data Engineer to join Europe’s Largest Airline Group!

Ryanair Labs is the technology brand of Ryanair. Labs is a state of-the-art digital & IT innovation hub creating Europes Leading Travel Experience for our customers. The Ryanair platform has over 1 billion visits per year. By joining Ryanair, you will develop cutting edge tech solutions inside Ryanair, transforming aviation for Pilots, Cabin Crew & Ground Ops, as well as driving the tech experience for our customers on Europe’s largest travel website!

The Role

We are looking for a Data Engineer to join a multi-disciplined team working alongside Developers, Designers and Product Owners. This is a hands-on technical role focused on building and maintaining our data platform, working closely with other engineers to deliver reliable data products. 

We are continually gathering information on travel-related events and are looking for someone to help us make the most of our cloud-based data systems. The role offers opportunities to work across various business areas including commercial, spaneting, engineering, logistics and more, depending on business needs and your own initiative. 

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. 

Our Tech Stack 

• Batch: DBT on Databricks, Python on AWS Batch, Python on AWS Lambdas 
• Virtualization: Docker, AWS ECR 
• Orchestration: Apache Airflow 
• Event-driven: SNS, SQS, DynamoDB, Lambdas, Kinesis, Kafka Streams 
• Data Warehouse: Databricks 
• Monitoring: Grafana, New Relic 
• IaaC: CloudFormation, Terraform 
• CICD: Bitbucket, CodeStar, CodeBuild, CodePipeline 
• Programming: Python, Scala 

Skills and Experience

• 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 years of hands-on experience with AWS, especially: 
  – Core: IAM, S3, EC2, VPC
  – Data Services: EMR, Lambda, Batch, SNS, SQS, DynamoDB, Glue, Athena 
• Ability to set up and maintain monitoring, alerting, and debugging solutions for your pipelines. 
• Experience collaborating with Data Science teams to support production-grade pipelines.

Knowledge 

• Solid understanding of computing systems (OS, memory, networks, etc.). 
• Proficient in data analysis and interpretation, with a good grasp of statistics and data quality methods. 
• Strong SQL and performance tuning skills. 
• Good knowledge of Big Data technologies, Spark, and object storage systems. 
• Proficiency in Python (and optionally Scala), with strong coding and testing practices. 
• Familiarity with Docker; Kubernetes experience is a plus. 
• Airflow (or similar) for orchestration. 
• Good understanding of IaaC and CICD principles. 
• Dashboard and storytelling experience for data visualization. 

Other 

• Strong communication skills. 
• Proactive mindset and collaborative team spirit. 
• Comfortable working within an agile team setup. 

Forms of employment

Contract of employment (permanent contract after trial period)

• Possible hybrid model (2 days from the office weekly)
• Option to participate in trainings and conferences
• Staff travel benefits from day one
• Creative work tax deduction
• Multisport card
• Private health care
• Group insurance scheme

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B2B

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Other benefits:

• Possibility of taking part in trainings and certifications
• Great chance to meet your colleagues in other offices
• Annual events (i.e. St. Patrick’s Day 🍀)
• Regular social meetings 🍻
• Paid referral system
• New office building surrounded by great dinettes right in the city centre 🌆

Apply today to discuss the role in more detail!