Data Engineering Manager; Analytics Engineering and BI

Data Engineering Manager (Analytics Engineering and BI)

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. With over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in more than 40 countries.

Today we are a FTSE 250 company with more than 1,000 Train liners from 50+ nationalities based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Our focus on growth in the UK and Europe makes now the perfect time to join us.

Role Overview As a Data Engineering Manager you will lead an embedded, cross‑functional team of Data, Mar Tech, and Business Intelligence Engineers to build and activate Trainline’s data marts—powering insight and performance, predictive product features, and measurement across all products and digital channels.

• Lead and coach an agile team of polyglot Data, Mar Tech and BI Engineers, building reliable pipelines and high-quality data assets using dbt, Spark, SQL, Python, Airflow on AWS.
• Motivate and engage your people manager responsibilities, encouraging skill development and amplified impact.
• Define the technical direction of the team, choosing technologies and approaches that maximize impact while minimizing risk.
• Partner with product managers to create a compelling, high‑impact roadmap, making trade‑offs and priorities that keep pace with business change.
• Champion quality and engineering excellence through automated, repeatable processes using CI/CD, TDD, and BDD.
• Own product operation, continuously improving performance and ensuring flawless incident management and learning capture.
• Drive incremental growth in engineering maturity, embedding standards, tools and practices that allow repeatable and efficient delivery to production.
• Oversee 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 embed consent management and governance best practices across tagging, activation and attribution.
• Seek opportunities to embed LLM and other AI technologies in our data products for efficiency, repeatability and reliability.
• Coach the team to continuously improve agile maturity, self‑organisation and delivery predictability.

• Passionate about diverse, open and collaborative environment.
• Experience in people management and technical leadership.
• Track record of leading effective agile and lean software teams.
• Background in software development in high‑volume environments.
• Strong background in Dev Ops, deploying, managing and maintaining services using Docker, Terraform and AWS CLI tools for infrastructure‑as‑code and automated deployments.
• Excellent working knowledge of AWS services (EMR, ECS, IAM, EC2, S3, Dynamo
  
  DB, MSK).
• Strong grounding in JavaScript, HTML/CSS, and web/app tracking for analytics and marketing.
• Familiarity with analytics tracking using tools such as GA4 and Adobe Analytics.
• Understanding of data privacy and consent frameworks (e.g. GDPR, CCPA) and their technical implementation in tagging.

• SQL, Python and Scala
• Kafka, Spark, Akka and ksql
• AWS, S3, Iceberg, Parquet, Glue and Spark/EMR for our Data Lake
• Elasticsearch, Dynamo
  
  DB and Redis
• Starburst and Athena
• Airflow
• Data Hub
• dbt

Enjoy fantastic perks such as private healthcare and dental insurance, a generous work‑from‑abroad policy, 2‑for‑1 share purchase plans, an EV scheme, additional 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.

• Think Big – building the future of rail
• Own It – focus on every customer, partner and journey
• Travel Together – one team
• Do Good – make a positive impact

We know that a diverse team makes us better and helps us succeed. We are committed to creating inclusive places to work where everyone belongs and differences are valued and celebrated.