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- Tasks: Join our Data Engineering team to create innovative data products that enhance customer journeys.
- Company: Trainline is Europe's leading rail app, dedicated to making travel simple and sustainable.
- Benefits: Enjoy perks like private healthcare, remote work options, and generous learning budgets.
- Why this job: Be part of a diverse team driving impactful data solutions in a collaborative environment.
- Qualifications: Proficient in Scala, with experience in software development and stream processing technologies.
- Other info: We value diversity and inclusivity, ensuring everyone feels welcome and valued.
The predicted salary is between 43200 - 72000 £ per year.
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.
Introducing Data Engineering at Trainline: Data Engineering is essential to how we unlock the value of data at Trainline. Our mission is to liberate Trainline data and delight customers with great data products built on a frictionless, modern data platform. Our data products include machine learning models that add real value to the customer journey, streaming data applications that personalise the customer experience in real time, dashboards that drive deep business and customer insight and intuitive and efficient data marts and metrics built on our modern Data Lakehouse.
As a Data Engineer, you will be part of a cross-functional Data Platform team working alongside data engineers, data scientists, machine learning engineers and BI engineers. Our data product teams are deeply embedded in the business so your work will have high impact by either driving key business decisions, providing deep customer insights or by adding intelligent machine learning experiences right in the core of our customer journeys. We use an agile delivery playbook that encourages incremental and iterative delivery, aims to release value early and often, measure the impact of work and using hypotheses to ensure we are solving real customer problems.
Our Data Platform is a modern, cloud-native, lake house using best-of-breed technologies and partners, all based on the AWS public cloud. We empower our Data teams and give engineers high levels of autonomy and freedom to innovate. We encourage continuous learning with clear career progression plans, innovation/hack days and training opportunities and budget.
As a Data Engineer at Trainline, you will...
- 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.
We'd love to hear from you if you...
- Thrive in a diverse, open and collaborative environment where impact is as valuable as technical skill.
- Have proficient knowledge of Scala and the JVM ecosystem.
- Possess familiarity of functional programming paradigms and a willingness to adopt other languages (not only JVM languages).
- Have consistent background in software development in high volume environments.
- Have a pragmatic and open-minded approach to achieving outcomes in the simplest way possible.
- Have worked with stream processing technologies (i.e. Apache Kafka).
- Have experience with AWS services especially EMR & ECS.
- Are passionate about software quality, DevOps (i.e. Terraform) and automation.
- Work well in lean, agile, cross-functional product teams using Scrum and Kanban practices.
- Are a good communicator and comfortable with presenting ideas and outputs to technical and non-technical stakeholders.
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!
Our values represent the things that matter most to us and what we live and breathe every day, 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!
Data Engineer - Scala FullTime London employer: Trainline plc
Contact Detail:
Trainline plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Scala FullTime London
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around Scala and AWS services. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current employees or alumni who work at Trainline. They can provide insights into the company culture and the specific challenges faced by the Data Engineering team, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience with streaming technologies like Apache Kafka. Be ready to share specific examples of how you've implemented these technologies in past projects, as this is a key requirement for the role.
✨Tip Number 4
Showcase your passion for continuous learning and improvement. Trainline values innovation and personal growth, so be prepared to discuss how you've pursued professional development in your previous roles.
We think you need these skills to ace Data Engineer - Scala FullTime London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Scala, AWS services, and any relevant data engineering projects. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how it aligns with Trainline's mission of creating a sustainable future of travel. Mention specific technologies you've worked with, like Apache Kafka or Terraform, to showcase your expertise.
Showcase Your Teamwork Skills: Since the role involves working in cross-functional teams, provide examples of past experiences where you collaborated effectively with others. Highlight your communication skills and ability to present ideas to both technical and non-technical stakeholders.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or personal projects that reflect your commitment to continuous learning in data engineering. This shows that you are proactive and eager to grow within the field.
How to prepare for a job interview at Trainline plc
✨Showcase Your Scala Skills
Make sure to highlight your proficiency in Scala and the JVM ecosystem during the interview. Be prepared to discuss specific projects where you've used Scala, focusing on how you applied functional programming paradigms to solve problems.
✨Demonstrate Your Experience with Streaming Technologies
Since the role involves working with streaming data applications, be ready to talk about your experience with technologies like Apache Kafka. Share examples of how you've implemented stream processing in previous roles and the impact it had on the projects.
✨Emphasise Collaboration and Communication
Trainline values teamwork and communication, so be sure to illustrate your ability to work in cross-functional teams. Prepare to discuss how you've effectively communicated technical concepts to both technical and non-technical stakeholders in past experiences.
✨Align with Company Values
Familiarise yourself with Trainline's core values: Think Big, Own It, Travel Together, and Do Good. During the interview, try to weave these values into your responses, demonstrating how your personal values align with those of the company.
