Data Engineer - Scala

Trainline, Europe's leading rail ticket platform, is seeking a Data Engineer to join their dynamic team in London. As a FTSE 250 company with over 1,000 employees across major European cities, they're at the forefront of making travel more sustainable and accessible.

The role sits within their Data Engineering team, which is crucial to unlocking the value of data at Trainline. You'll be working on a modern, cloud-native lake house platform using cutting-edge technologies, all based on AWS. The position offers the opportunity to work alongside data scientists, machine learning engineers, and BI engineers in cross-functional teams.

As a Data Engineer, you'll be responsible for building world-class data products using streaming technologies, machine learning, and automated data pipelines. The role requires proficiency in Scala and the JVM ecosystem, with experience in stream processing technologies like Apache Kafka. You'll be working in a high-volume environment, contributing to technical architecture decisions, and driving continuous improvement in engineering practices.

The position offers competitive compensation (£65K-£75K) and an impressive benefits package including private healthcare, dental insurance, share purchase plans, and a generous work abroad policy. Trainline strongly values diversity and maintains an inclusive workplace culture where everyone belongs.

The company's modern data platform and focus on innovative solutions make this an exciting opportunity for a Data Engineer looking to make a real impact. You'll be part of a team that's essential to how Trainline delivers value through data, working on projects that directly influence customer experience and business decisions.

If you're passionate about software quality, comfortable with DevOps practices, and thrive in an agile environment, this role offers excellent career growth potential with clear progression paths and regular learning opportunities. Join Trainline to be part of building the future of rail travel while working with cutting-edge data technologies.