Trainline

Business Development Rep

• generating new sales in the B2B leisure travel market
• defining the go-to-market strategy
• identifying opportunities, engaging and negotiating with prospects
• managing integrations with support from the integration team
• assisting in ramping up volumes until transitioning to the Account Management team
• supporting coordination with customer and Trainline teams
• generating incremental net ticket sales
• participating in travel industry events across Europe
• exploring leisure market’s needs and mapping business opportunities
• managing the sales cycle from A to Z

Strategic Business Development Manager – B2B2C

Data Engineer

• Be key to making our data lake more accessible and insightful breaking down the barriers to access by working on new data marts and designing data models that even the most basic SQL users can use
• Build data pipelines with Spark or DBT
• Use SQL to transform data into meaningful insights
• Build and deploy infrastructure with Terraform
• Implement DDL, DML with Iceberg
• Do code reviews for your peers
• Orchestrate your pipelines with DAGs on Airflow
• Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning)
• Secure data with IAM and AWS Lake formation
• Deploy your changes with Jenkins and GitHub actions

• Be key to making our data lake more accessible and insightful
• Build data pipelines with Spark or DBT
• Lead on projects and initiatives
• Use SQL to transform data into meaningful insights
• Build and deploy infrastructure with Terraform
• Implement DDL, DML with Iceberg
• Do code reviews for your peers
• Mentor Mid/Junior Engineers
• Orchestrate your pipelines with DAGs on Airflow
• Participate in SCRUM ceremonies (standups, backlogs, demos, retros, planning)
• Secure data with IAM and AWS Lake formation
• Deploy your changes with Jenkins and GitHub actions

Senior Data Engineer

Customer Success Manager

• Own and deliver iMAC, transaction frequency and lifetime value from CRM
• Lead the CRM team across lifecycle, operations and tech/reporting
• Define and execute a global lifecycle strategy
• Build a high-velocity experimentation engine
• Own and evolve the CRM tech stack

Head of CRM

Backend Engineer

• 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.

Data Engineer – Scala

Android Engineer

• Be a part of a cross-functional team contributing to design and implementation of Android software
• Appreciate agile and engineering practices with solid, clean code
• Actively involved in all aspects of the product lifecycle
• Work closely with the team and Product to help drive & deliver roadmaps
• Build and deliver software using Agile practices (SCRUM, two weeks iterations), CI, and pair programming
• Deliver new functionalities and features using the best tools and techniques

• Design and build scalable data pipelines, data models, and feature stores to support analytics and ML workloads.
• Deploy and manage cloud-native data applications on AWS.
• Ensure the technical quality, performance, and reliability of production-grade data pipelines through strong observability and engineering best practices.

Senior Data Engineer – ML Workloads

Engineering Manager

• Lead a high performing team of Machine Learning Engineers working alongside Software Engineers, Data Scientists, Data Engineers and Product Managers
• Ensure delivery of high-quality machine learning models and AI Systems at scale that drive measurable impact for our business
• Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance
• Partner with stakeholders to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms
• Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation

Machine Learning Engineering Manager – Supply

• Contribute to features that impact millions of travellers
• Write clean, reliable, and well-tested code with the support of experienced mentors
• Learn modern backend practices - from code reviews to continuous delivery
• Collaborate closely with product and design to put customers first
• Be encouraged to ask questions, explore new tools, and grow at your own pace

Junior Ruby Engineer

Account Executive

• Generate new business opportunities through outbound activity (email, phone, LinkedIn)
• Identify and engage prospective customers within target segments
• Run initial discovery conversations to understand customer needs
• Qualify opportunities before passing to the Account Executive
• Support progression of early-stage opportunities through the sales funnel
• Maintain accurate CRM records and contribute to pipeline tracking
• Collaborate with the Account Executive on targeting and prioritization
• Continuously learn and apply consultative sales techniques

Graduate Account Executive – 12 month Fixed Term Contract

Manager

• Monitor and analyse UK political, legislative and regulatory developments across rail, technology and consumer policy, providing clear, commercially focused advice on risks and opportunities
• Support the development and delivery of Trainline’s UK Government Relations strategy, aligned to corporate priorities
• Draft high-quality policy papers, consultation responses and parliamentary briefings that advance Trainline’s objectives
• Project manage stakeholder engagement activity, including roundtables, dinners and reception events
• Build and maintain strong relationships with parliamentarians, government officials, regulators, trade associations and industry partners
• Represent Trainline externally at meetings, industry forums and political events
• Work cross-functionally with Legal, Industry Relations, Product, Commercial and Communications teams to ensure aligned and effective responses to policy and regulatory developments

Senior Manager – UK Government Relations

Data Analyst

• Own and track key rail fraud metrics, supporting Trainline’s revenue protection goals.
• Partner with Train Operating Companies (TOCs) and internal stakeholder to support revenue protection initiatives.
• Deliver timely and accurate internal and external reporting on rail fraud trends for senior leadership and industry partners.
• Automate dashboards and reporting tools to streamline analysis.
• Identify trends, anomalies, and emerging rail fraud patterns, working closely with the Train Operating Companies and Trainline Product teams to mitigate risk.
• Ensure compliance with data security and privacy standard

Senior Data Analyst – Rail Fraud

Product Manager

• Work closely with an engineering squad (based in Paris), building strong relationships with engineers, stakeholders, and suppliers across Europe.
• Partner cross-functionally with Product, Engineering, Supply, and Commercial teams to define OKRs, prioritise outcomes, and align with company goals.
• Own and evolve the roadmap across short-, medium-, and long-term horizons, informed by customer insights, strategy, and market context.
• Champion the customer by using insights and data to ensure the team delivers meaningful, user-focused outcomes.
• Identify opportunities, navigate ambiguity, and drive impactful, outcome-led improvements.
• Set and manage squad priorities, balancing new features, platform improvements, and operational needs with clear, data-informed trade-offs.
• Use data to generate insights, test hypotheses, and share learnings, while managing dependencies and enabling timely decision-making across teams.
• Lead Agile practices, communicate clearly with stakeholders, and build domain and technical understanding to support effective delivery and influence.

Product Manager – Supply

Technical Account Manager

• Work long-term with a portfolio of assigned strategic customers
• Drive customer success through TPS guidance and solutions
• Develop and maintain deep technical expertise in TPS solutions
• Guide partners through industry accreditation processes
• Clearly articulate customers’ goals and the gaps that need to be bridged
• Build long-term, trusted relationships to accelerate customer outcomes
• Educate customers on product roadmaps and align with their strategic plans
• Act as an advocate for customers and ensure service levels are met

DevOps Engineer

• Developing an understanding of system architecture, dependencies, and failure modes across the Trainline platform
• Participating in production incident response, supporting investigation, mitigation, communication, and coordinated service restoration
• Contributing to post-incident reviews and follow-up actions to improve reliability, scalability, and resilience
• Taking part in the SRE on-call rotation
• Designing, building, and maintaining observability using metrics, logs, events, and traces to support effective detection and diagnosis
• Improving monitoring and alerting by aligning signals to business and customer impact, reducing noise and improving mean time to detection (MTTD)
• Ensuring relevant operational data is surfaced quickly and clearly during live incidents
• Making informed tooling and technology choices using SRE principles, balancing team and business needs
• Supporting AWS-hosted infrastructure and shared platform services using infrastructure-as-code and CI/CD tooling
• Collaborating with product engineering teams to ensure services are operationally ready and deployed safely
• Advising on reliability and resilience practices
• Writing and maintaining reliable, well-structured code and scripts to support reliability and observability goals
• Prioritising work effectively and collaborating using agile processes to deliver against team and business goals