Senior Data Engineer

London, United Kingdom

Trainline

Great journeys start with Trainline. Find out more about how we're changing the future of travel, and the part you could play in it.

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Company Description

We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.

Great journeys start with Trainline 🚄

Now Europe’s number 1 downloaded rail app, with over 125 million monthly visits and £5.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be.

Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh, Berlin, Madrid, and Brussels. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey!

Job Description

The Global Customer Journey Machine Learning team build intelligent products covering the entire travel experience. This is an exciting time to be in the team as we develop sophisticated multi-agent LLM based systems, personalised products and building the data foundations for the future. You'll be working alongside ML and Backend Engineers developing data pipelines, building APIs and working with other teams to manage infrastructure. In addition, you will be contributing towards our metric mart vision by building tables to help power analytics. 

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

  • Use cutting-edge Data technology to deliver world-class Data applications.   
  • Contribute to the Technical / Architecture direction of the team.   
  • Be building Data Pipelines
  • Be Data Modelling
  • Be deploying applications to the Cloud (AWS)

Qualifications

We'd love to hear from you if you... 🔍   

  • Have strong experience with Python & SQL
  • Work with Infrastructure as code (Terraform) and containerising applications (Docker)
  • Have experience developing data pipelines using dbt, Spark and Airflow
  • Have experience Data modelling (building optimised and efficient data marts and warehouses in the cloud)
  • Have been developing and deploying applications and APIs to the cloud
  • Work with AWS, S3, SQS, Iceberg, Parquet, Glue and EMR for our Data Lake Experience developing CI/CD pipelines
  • Write unit and integration tests (Pytest)

Additional skills (Nice to have):

  • Working with LLM services with such as Amazon Bedrock and LLM frameworks like LangChain, LangGraph
  • Kafka, Kafka Streams and KSQL
  • Elasticsearch and DynamoDB
  • Trino (Starburst) and Presto (Athena)

Additional Information

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits.

We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!

Our values represent the things that matter most to us and what we live and breathe every day, in everything we do:

  • 💭 Think Big - We're building the future of rail
  • ✔️ Own It - We focus on every customer, partner and journey
  • 🤝 ​Travel Together - We're one team
  • ♻️ Do Good - We make a positive impact

Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedInInstagram and Glassdoor.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  2  0  0
Category: Engineering Jobs

Tags: Airflow APIs Architecture Athena AWS CI/CD Data pipelines dbt Docker DynamoDB Elasticsearch Kafka LangChain LLMs Machine Learning Parquet Pipelines Python Spark SQL Terraform

Perks/benefits: Career development Equity / stock options Startup environment

Region: Europe
Country: United Kingdom

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