Databricks Data Engineer

Ryanair Labs is the technology brand of Ryanair, a start-up inside a corporation and a state of-the-art digital & IT innovation hub creating Europe’s Leading Travel Experience for customers. More than 600+ IT enthusiasts are working on 30+ projects with a collaboration of our Dublin, Madrid, Wroclaw and Portugal Labs teams and are making your travel experience unique. As a result of our continued expansion, we want to hear from the best IT experts the European market has to offer to join our Labs.

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.

Requirements

• Bachelor's 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

Additional Information:

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 API's

Benefits

• Competitive salary
• Discounted and unlimited travel to over 230 destinations
• Defined Contribution Pension Scheme
• Hybrid working model
• 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 of continuous service.
• Option for up to 5 additional unpaid leave days per year
• Cycle 2 Work Scheme
• Unrivalled career progression

Last updated on Jun 17, 2024