Data Engineering Manager (Analytics) job opportunity at Trainline.

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Trainline Data Engineering Manager (Analytics)
Experience: General
Pattern: full-time
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Technology

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degreeBachelor's (B.Sc.)
loacation London, United Kingdom
loacation London....United Kingdom

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. We are looking for a Data Engineering Manager to lead an embedded, cross-functional team of Data, MarTech, and Business Intelligence (BI) Engineers to build and activate Trainline’s data marts—powering insight and performance, predictive product features, and measurement across all products and digital channels. As a Data Engineering Manager at Trainline you will... ???? A committed lead and coach to an agile team of polyglot Data Engineers and BI Engineers deeply embedded in the business, building reliable pipelines, high-quality data assets using dbt, Spark, SQL, Python, Airflow on AWS. Be a brilliant 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. Partner with Legal and Privacy teams to define and embed consent management and data governance best practices across tagging, activation, and attribution. Seek opportunities to embed the latest in 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. We'd love to hear from you if you... ???? Thrive in a diverse, open and collaborative environment. Have experience in the Analytics Engineering & BI Space. 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 strong 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). Understand data privacy and consent frameworks (e.g. GDPR, CCPA) and their technical implementation in tagging. Our Technology Stack ???? We work with a modern, cloud-native data stack designed for scale, flexibility and experimentation: SQL, Python and Scala Kafka, Spark, Akka and KSQL AWS, S3, Iceberg, Parquet, Glue and Spark/EMR for our Data Lake Elasticsearch, Dynamodb and Redis Starburst and Athena Airflow DataHub dbt 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! We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. 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 !

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