Teams at Trainline

Build scalable data pipelines, data models, feature stores, and cloud-native data applications supporting machine learning workloads. Partner with Machine Learning Engineers and Data Scientists to create reliable datasets, maintain production pipeline quality and observability, and support batch and real-time data systems. The role uses Python, SQL, Spark, Airflow, AWS, CI/CD, and modern data engineering technologies.

Lead production of the Group's IFRS annual and half-year financial statements, manage external audits, own cashflow forecasting and liquidity analysis, act as the primary technical accounting authority, implement new standards, oversee subsidiary statutory filings, drive controls and accounting policy, manage stakeholder and banking relationships, and lead cross-functional projects and a high-performing reporting team.

Lead Trainline’s corporate sustainability agenda, including delivery of its SBTi-validated emissions reduction strategy, supplier engagement, and Scope 3 reductions. Drive adoption of the Watershed GHG data platform, support sustainability-linked disclosures, improve ESG ratings, and develop measurement approaches for emerging topics such as AI emissions. Influence senior stakeholders and teams across the business while presenting sustainability progress internally and externally.