Senior Data Engineer

London, United Kingdom

Trainline

Wondering what it's like to work at Trainline? Our people come first, and our benefits are designed with health, wellbeing and work-life balance in mind.

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Company Description

We are champions of rail, inspired to build a greener, more sustainable future of travel. Our purpose is our momentum. It makes us feel good because we know we’re doing good. As we lead the way to a greener future, we do it together. We’re all about connections - with each other, with our customers and with the world. Just as our platform brings the world together, it’s our ambition that connects us. We motivate each other to go beyond our limits, to experiment, to fail and to always grow. 

With over 110 million visits every month to our platform and £4.3 billion in net ticket sales, we're always innovating and making moves towards our final destination — a world where travel is as simple, seamless, and affordable as it should be. 

And we couldn't do any of it without our incredible people driving us forward. Today, we're a FTSE 250 company that's proudly home to more than 1000 Trainliners from over 60 nationalities across offices in London, Paris, Barcelona, Milan, Edinburgh, Berlin, Madrid and Brussels. It's this diversity that energises us and makes us stronger, helping us to achieve amazing things. 

With our sights firmly set on further European growth, there is no better time to jump on board this high-speed train and be part of our continued success. 

Great journeys start with Trainline. 

Job Description

We are searching for a Senior Data Engineer to play a key role in an exciting new team within Trainline that improves the customer experience for rail passengers with accurate train tracking and mapping tools. This role will involve innovating and developing new technology and working on the maintenance, monitoring, and reliability of services that are already in production.  

In addition, you will collaborate with an exciting new research and development team to bring innovations to the market. This will also involve building proof-of-concept prototypes, testing their viability, and bringing the technology to market.  

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

  • Improve the passenger experience by developing data engineering pipelines that improve train tracking.   
  • Work as part of the research and development team to test the viability of new products and services.   
  • Work as part of a multi-discipline team that includes data scientists, front-end developers, and engineers to ship new features and products.   
  • Create tools, frameworks and processes that accelerate service speed, efficiency, maintenance, and reliability.   

Qualifications

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

  • Data Engineering experience using SQL and Python.   
  • Previous experience with data lakes in AWS, Glue Catalog and Athena or Starburst  
  • Good understanding of Spark: optimisation and performance tuning   
  • Capability of using popular data modelling tools to create a diagram of proposed tables to enable discussion   
  • Good communication skills and are comfortable with presenting ideas and outputs to technical and non-technical users    
  • Have an advanced degree in engineering, physics, computer science or a similar quantitative discipline
  • Have extensive experience of cloud infrastructure, such as AWS services such as ECS, ECR, RDS, and Redis 
  • Familiarity with DevOps technologies, such as Terraform, Bash, Linux operating systems, and Docker 
  • Familiarity with Python libraries, such as Pandas, SqlAlchemy, Alembic, PySpark, Flask, and Fast API
  • Experience in developing monitoring and alerting systems using technologies such as CloudWatch, CloudTrail, New Relic, and Grafana   
  • Experience with advanced data management like sharding and partitioning and familiar with a range of data stores like PostgreSQL, DynamoDB, and Redis, and familiarity with optimisation techniques
  • Extensive experience with CI/CD technologies, such as Docker, GitHub Actions, and Terraform

Nice to haves:   

  • Geospatial analysis, for example by manipulating and processing using tools like PostGIS, GeoPandas, PyProj, Turn and Topology Suite
  • Network analysis, for example knowledge of graph theory and tooling, like Neo4J, NetworkX and PgRouting   
  • Signal processing experience, for example using digital signal processing like filters and transforms
  • Navigation algorithms, for example designing and implementing Kalman filters and least squares estimators

Additional Information

Why should you jump on board? 

We pay special attention to learning and development and organise quarterly company learning days as well as offering a learning budget that can be put towards resources of your choice. We will cover the costs of your professional subscriptions and give you access to our very own learning platform. 

At Trainline, we care about the wellness of our employees. We host puppy therapy sessions, in-office yoga and run Mental Health First Aider training courses as well as having an Employee Assistance Program as one of our many company benefits.  

We regularly throw fun social events such pub quizzes, karaoke nights and our large-scale Summer and Winter Festivals every year. Additionally, we love hosting meetups in our amazing event spaces and having the opportunity to support internal and external community groups.  

We also hold companywide hackathons and our annual Trainline Tech Summit, which provides Trainliners with an opportunity to stand up and share their story, learnings, or new skills with their colleagues in a safe environment. 

Our flexi-first approach

We believe in the importance of a healthy work-life balance and the value of a flexible workforce. Our flexi-first approach outlines our commitment to a hybrid way of working and our expectations of Trainliners. A key part of what makes Trainline special is our people and the value we get from the buzz and energy of our workplaces, and that’s why we’re proud to offer the best of both worlds. In practice this means in–office attendance at least 40% of the time over a 12-week period for all Trainliners. These in-office days are typically team led to help us connect, collaborate and create together.  

Our Values 

  • Think Big - We're building the future of rail 
  • Own It - We care about every customer, partner and journey 
  • Do Good - We make a positive impact 
  • Travel Together - We're one team 

Interested in finding out more about what it's like to work at Trainline? Why not check out what our employees say about us on Glassdoor? You can also find out more information by following us on LinkedIn or our 'Life at Trainline' Instagram account.  

We value open expression at Trainline, we believe it’s the diversity of experience, backgrounds and perspectives of our employees that makes us who we are. We encourage everybody to play a part in changing the way people travel across the world. 

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

Tags: APIs Athena AWS CI/CD Computer Science CX Data management DevOps Docker DynamoDB ECS Engineering Flask GitHub Grafana Linux Neo4j Pandas Physics Pipelines PostgreSQL PySpark Python Research Spark SQL Terraform Testing

Perks/benefits: Career development Flex hours Health care Home office stipend Startup environment Team events Travel Yoga

Region: Europe
Country: United Kingdom
Job stats:  7  1  0
Category: Engineering Jobs

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