About us

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 £5.9 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, eco-friendly 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 and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. 

Role Purpose:

Lead an embedded, cross-functional team of Data, MarTech and Machine Learning Engineers to build and activate Trainline’s customer data foundations — powering personalised marketing, customer insight, and performance measurement across our marketing channels.

As a Data Engineering Manager at Trainline you will... 🚄

• Lead and coach an agile team of Data Engineers, Martech and Machine Learning Engineers deeply embedded in the business, building reliable pipelines, high-quality data assets and re-usable audiences using dbt, Spark, SQL, Python, Airflow on AWS and activating data for personalization, marketing and advertising using Census, Braze, Google Cloud Platform, Meta, Tiktok, Snap and others.

• Be a people manager that motivates and engages their team to develop their skills and increase their impact.

• Lead the technical direction of the cross-functional team, making good choices on technologies and approach to get the biggest impact for the least risk.

• Partner with product managers to build a compelling and high-impact roadmap for the team, making the right trade-offs and priority calls and keeping pace with business change.

• Foster an obsession with quality and engineering excellence through automated, repeatable processes using CI/CD, TDD, BDD.

• Own the operation of the products built by your team and continuously improve operation performance, ensuring that the incident management process is flawlessly executed and all opportunities for learning are captured.

• Drive incremental growth in engineering maturity, embedding standards, tools and practices that allow repeatable and efficient delivery of products to production.

• Oversee the tagging and event instrumentation strategy across web and app, ensuring privacy-compliant, reliable data capture for analytics, marketing and experimentation platforms (e.g. via GTM, server-side tagging, and Consent Mode).

• Partner with Legal and Privacy teams to define and embed consent management and data governance best practices across tagging, activation, and attribution.

• Design and scale integrations between marketing platforms, analytics systems and CRM to enable reliable measurement, attribution and personalization.

• Seek opportunities to embed the latest in LLM and other AI technologies in our data products for efficiency, repeatability and reliability.

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

• Thrive in a diverse, open and collaborative environment.

• People management and technical leadership experience.

• Are passionate about agile software delivery with a track record of leading effective agile and lean software teams.

• A consistent background in software development in high volume environments

• Have a background in Dev Ops, deploying, managing and maintaining services using Docker, Terraform and AWS CLI tools to achieve infrastructure-as-code and automated deployments.

• Have an excellent working knowledge of AWS services (EMR, ECS, IAM, EC2, S3, DynamoDB, MSK).

• Have a grounding in web/app tracking for analytics and marketing

• Familiarity with analytics and activation platforms such as GA4, Census, HighTouch, Segment, Tealium, Braze, Salesforce Marketing Cloud, or equivalent tools.

• Understand data privacy and consent frameworks (e.g. GDPR, CCPA) and their technical implementation in tagging and activation systems.

More information:

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, 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 everyday, 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 

We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.

Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!