
501 - 1000 employees
Founded 1997
đźš— Transport
🛍️ eCommerce
đź’° Venture Round on 2006-01
Transport • eCommerce • Technology
Trainline is Europe’s leading independent rail platform, dedicated to empowering greener travel choices by connecting people and places. The company enables millions of travellers worldwide to search, book, and manage their rail and coach journeys seamlessly through their highly-rated website and mobile app. With a strong commitment to environmental sustainability and corporate responsibility, Trainline operates through three business segments: UK Consumer, International Consumer, and Trainline Solutions.
đź•’ April 2
🏢🏡 London – Hybrid
đź’µ ÂŁ65k - ÂŁ75k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
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501 - 1000 employees
Founded 1997
đźš— Transport
🛍️ eCommerce
đź’° Venture Round on 2006-01
Transport • eCommerce • Technology
Trainline is Europe’s leading independent rail platform, dedicated to empowering greener travel choices by connecting people and places. The company enables millions of travellers worldwide to search, book, and manage their rail and coach journeys seamlessly through their highly-rated website and mobile app. With a strong commitment to environmental sustainability and corporate responsibility, Trainline operates through three business segments: UK Consumer, International Consumer, and Trainline Solutions.
• 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
• Proven experience as a Data Engineering using SQL and Python • Previous experience with data lakes in AWS, Glue Catalog and Athena (or equivalent) • Good experience with DBT • Capable of using popular data modelling tools to create a diagram of proposed tables to enable discussion • Good communicator and comfortable with presenting ideas and outputs to technical and non-technical users • Worked on Apache Airflow before to create DAGS • Ability to work within Agile, considering minimum viable products, story pointing and sprints
• Private healthcare & dental insurance • Generous work from abroad policy • 2-for-1 share purchase plans • EV Scheme to further reduce carbon emissions • Extra festive time off • Excellent family-friendly benefits • Career growth with clear career paths • Transparent pay bands • Personal learning budgets • Regular learning days
Apply Nowđź•’ April 1
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🇬🇧 UK Skilled Worker Visa Sponsor
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🇬🇧 UK Skilled Worker Visa Sponsor
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