BI Data Engineer

Ryanair Labs are currently recruiting for a BI 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 Europes Leading Travel Experience for our customers.

The Role

We are looking for a BI Data Engineer to work in a multi-disciplined team, working alongside Developers, Data Scientists and DBAs. The role will allow you to develop and implement wide ranging solutions for the entire business.

The duties will include:

• The design, architecture, implementation and support of Ryanair applications using a variety of tools
• Participate in and/or lead the requirements, analysis, design, development, testing, implementation, and support of BI technology solutions.
• Conduct ETL, Data Warehouse Modelling, OLAP, processes documentation and BI solution delivery
• Provide recommendations to improve system functionality and processes within the BI environment.

This role requires a person with the ability to work on their own, or as part of a larger group to deliver best in class BI tools for a dynamic company. You shouldn’t be afraid to try new solutions or technologies in order to solve a problem – we encourage people to use their initiative to solve anything that comes their way.

• Bachelors degree in computer science, information technology or equivalent work experience.
• Min. 3 years data engineering experience

• Must have experience with Spark - ideally using Databricks

• A strong understanding of cluster configurations, spark UI and general spark performance optimization is highly desirable for this role
• Extensive experience using Databricks in multi-cloud environments, particularly across Azure and AWS is highly desirable
• Solid understanding of modern data architectures (i.e., data warehouse, data lake, data lake-house etc.)
• Experience with Data Warehouse modelling/Relational modelling.
• Experience with every step of the data engineering lifecycle (i.e. ingestion, storage, transformation, serving) with a modern data stack
• Experience with serving data for front end BI applications, data scientists and software engineers
• ETL programming skills, including experience with large code bases, complex data structures, and a variety of BI development tools
• Experience with cloud solutions particularly Azure. GCP & AWS is also a plus

Our tech stack includes (but isn’t limited to):

• Azure (e.g. Data Factory, Databricks, Synapse, Managed Instance, Storage Accounts, DevOps, Logic Apps, DataBricks, Azure Functions), MS SQL Server 2017, Power-BI, SSRS
• Our data sources include among others S3, Athena, Oracle, Elastic, MongoDB, BigQuery, Rest APIs

• Competitive Salary
• Hybrid working options
• Discounted and unlimited travel to over 230 destinations
• Defined Contribution Pension Scheme
• Death in Service Benefit - up to 2 times of annual basic salary
• 20 Days Annual Leave - Increasing to 22 days after 12 months and 25 days after 3 years
• Option for up to 5 additional unpaid leave days per year
• Cycle 2 Work Scheme
• Unrivalled career progression