Lead Data Engineer

Ryanair Labs are currently recruiting for a Lead 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 Lead Data Engineer to join and guide a multi-disciplined team working alongside Developers, Designers and Product Owners. You will play a hands-on technical role while also taking ownership of team leadership, project delivery, and day-to-day operations. You'll be comfortable coaching others, managing tasks and timelines, and conducting performance reviews.

We are continually gathering information on travel-related events and are looking for someone to help us make the most of a cloud-based data system. 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.

Your tasks will include

• Lead the design and development of automated ELT processes ensuring a high level of data quality and reliability, using tools such as Spark, Apache Airflow, DBT, Python, Databricks, etc.
• Oversee batch and real-time data processing using Apache Kafka and AWS services like SNS, SQS, and Kinesis, supporting microservice architectures.
• Guide the team in maintaining the data lake in AWS and Databricks, designing well-governed, query-oriented data models for efficient consumption.
• Define and implement monitoring plans to ensure robust observability.
• Collaborate cross-functionally, assisting other teams in identifying, collecting, and processing valuable information for diverse business use cases.
• Support the Data Science team by ensuring stable, scalable environments for model deployment and experimentation.
• Drive CICD pipeline creation and promote best practices for automatic deployment and consistency.
• Oversee the administration and maintenance of deployed infrastructure.
• Establish and uphold engineering standards and best practices across the Data Engineering team.
• Mentor team members and contribute to their growth and performance development, including participation in annual reviews.
• Manage project timelines, daily priorities, and delivery commitments, ensuring alignment with business objectives.

Requirements

Knowledge

Other

Types of employment

Contract of employment (permanent contract after trial period)

– – – or – – –

B2B

Other benefits :

Apply today to discuss the role in more detail!

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