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Senior Data Engineer

London, United Kingdom

Trainline


Unverified relocation package

About Trainline

We’re a one-stop shop for train and coach travel. We stay one step ahead, so our customers don’t have to. Every day we bring together live times and journeys from more than 150 train and coach companies in 36 countries, so our customers can easily buy tickets and save time, hassle or money.

Position

Data is at the heart of what we do at Trainline. Our Data Engineers are responsible for our real time data processing platform, which processes billions of rows a day into our Data Lake and hosts a number of exciting data products in production. We work with Data Science and Product to create data-driven products that challenge and change how our customers travel and interact with our platform.

As a Senior Data Engineer at Trainline you will...

  • Use cutting edge Data technology to deliver world class Data applications
  • Contribute and support the Technical / Architecture Direction of the team
  • Work in a self-organised Agile team
  • Question and shape the teams direction

Your qualification

  • Thrive in a diverse, open and collaborative environment
  • Have excellent knowledge of at least one of the following programming languages (Clojure, Python, Java, Scala)
  • A consistent background in software development in high volume environments
  • Worked with stream processing technologies (Kafka, Storm, AWS Kinesis, etc)
  • Are passionate about building customer focused data products
  • Have worked with AWS in previous roles (including acronyms such as, EMR, ECS, EKS)

Our Technology Stack

We use a variety of technologies at Trainline. Our core stack in Data is:

  • Clojure, Scala and Python - we're pragmatic: using the right language for the job
  • Kafka, Kafka Streams and KSQL
  • Spark (both PySpark and Clojure) 
  • AWS, S3, Parquet and Glue for our Data Lake
  • RedShift, Athena and Tableau for reporting

Java Python Engineer AWS Data Database Scala Kafka Programming Clojure EKS Storm ECS EMR Amazon Web Services Data Engineering Apache Kafka
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