Description
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 Europe’s 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, marketing, 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
Requirements
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.
Benefits
Forms of employment
Contract of employment (permanent contract after successfully completed probation 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
– – – or – – –
B2B
– – –
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!
Recruitment Process
Send us your application in English and let’s get started! Here’s what you can expect:
- Phone Call – get to know the Recruiter, and let us learn a bit about you.
- Technical-focused Introduction call – meet with the Head of Cloud Architecture to understand the role and our projects.
- Technical Interview – dive deeper with our Technical Team to explore your expertise and approach.
- Final Interview – meet with the Director of Data and Analytics and Recruiter and discuss both technical aspects and soft skills.
- Offer – if we’re a match, we’ll present you with an offer and schedule your start day with us!
During each of above steps we’ll be happy to answer any questions you may have. Apply today to discuss the role in more detail!