Data Engineer in Madrid

Ryanair

Workplace
Onsite
Hours
Full-Time
Internship
No
Share offer

Job Description

Description

Ryanair Holdings plc, Europe’s largest airline group, is the parent company of Buzz, Lauda, Malta Air & Ryanair DAC. Carrying over 154 m guests p.a. on more than 2,400 daily flights from 82 bases, the group connects over 200 destinations in 40 countries on a fleet of over 475 aircraft, with a further 210 Boeing 737’s on order, which will enable the Ryanair Group to lower fares and grow traffic to 200m p.a. by FY24. Ryanair has a team of over 19,000 highly skilled aviation professionals delivering Europe’s No.1 on-time performance, and an industry leading 34-year safety record. Ryanair is Europe’s greenest cleanest airline group and customers switching to fly Ryanair can reduce their CO₂ emissions by up to 50% compared to the other Big 4 EU major airlines.


The Role

We are looking for a Senior Data Engineer to work in a multi-disciplined team, working alongside Developers, Designers and Product Owners, who will own their work from the initial idea to the final implementation. We are continually gathering information on travel related events and are looking for someone to help us make the most of a large-scale distributed data system. The role will allow for opportunities to work in a variety of areas such as digital, logistics, predictive maintenance, and anything else that you may think of, or that will come your way.

Requirements

The Person:

  • Big Data: Experience with technologies like Hadoop, Spark, Kafka, Cassandra, Mesos/YARN
  • Evidence of Data Processing at Scale – designing, developing and continually improving tools
  • Experience in any of the following areas is a bonus – APIs, Personalisation (classifiers, recommendation & prediction services), automation
  • Experience designing, developing, testing and continually improving tools which deliver scalable and effective data infrastructure systems
  • Evidence of delivering continual improvements in availability, scalability, monitoring, concurrency, fault tolerance, latency, automation and related areas
  • Cloud native system design
  • Familiar with Hadoop administration, monitoring, performance tuning, troubleshooting
  • Designing ETL/ Data Load architectures within the Hadoop Ecosystem
  • Streaming applications design with Storm and Spark Streaming


Required Skills:

  • Develop Spark applications in Java, Scala or Python
  • Solid experience in SQL and Java / Scala programming
  • Clear understanding of Hadoop stack, its architecture and configuration
  • Familiar with Hadoop administration, monitoring, performance tuning, troubleshooting
  • Experience with cloud architecture (AWS) would be a plus
  • Streaming applications design with Storm and Spark Streaming would be a plus
  • Fluent in English

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

  • Hadoop (HDFS, Spark, Impala, Hive, Oozie) - Cloudera
  • Java, Python, Scala, R
  • AWS (S3, EC2, EMR)
  • Flume, ElasticSearch, Kibana
  • MS SQL Server 2016

Benefits

Flight Benefits

 

About Ryanair

  • Travel

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