Senior Data Engineer London (Hybrid, 40% in office)  £Salary + Benefits

Introducing Data Engineering at Trainline  

Data Engineering is essential to how we unlock the value of data at Trainline. Our mission is to liberate Trainline data and delight customers with great data products built on a frictionless, modern data platform. Our data products include machine learning models that add real value to the customer journey, streaming data applications that personalize the customer experience in real time, dashboards that drive deep business and customer insight and intuitive and efficient data marts and metrics built on our modern data lakehouse. 

As a Senior Data Engineer (Scala), you will be part of a cross-functional data product team working alongside data scientists, machine learning engineers and BI engineers. Our data product teams are deeply embedded in the business so your work will have high impact by either drive key business decisions, provide deep customer insights or by adding intelligent machine learning experiences right in the core of our customer journeys. 

We use an agile delivery playbook that encourages incremental and iterative delivery, aims to release value early and often, measure the impact of work and using hypotheses to ensure we are solving real customer problems. Our data platform is a modern, cloud-native, lake house using best-of-breed technologies and partners, all based on the AWS public cloud. 

We empower our Data teams and give engineers high levels of autonomy and freedom to innovate. We encourage continuous learning with clear career progression plans, innovation/hack days and training opportunities such as DataCamp. 

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

• Use cutting-edge Data technology to deliver world-class data products using a combination of streaming technologies, machine learning and automated data pipelines.  
• Work in self-organised, cross-functional data teams alongside machine learning engineers, BI engineers and product managers. 
• Drive continuous improvement to the software engineering and agile working practices of the team. 
• Contribute to the Technical / Architecture direction of the team.