It’s time to go places

Description

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

Full details

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