At a Glance
- Tasks: Create data pipelines and models to power impactful analytics and machine learning.
- Company: Join Trainline, a leading tech company focused on sustainable travel.
- Benefits: Enjoy private healthcare, work-from-abroad options, and generous family-friendly perks.
- Other info: Embrace a hybrid work model with clear career growth opportunities.
- Why this job: Be part of a dynamic team shaping the future of rail travel with innovative data solutions.
- Qualifications: Experience in SQL, Python, and AWS data lakes is essential.
The predicted salary is between 60000 - 80000 £ per year.
About Trainline
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. We are a FTSE 250 company with over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Our focus on growth in the UK and Europe makes this a perfect time to join us on this high‑speed journey.
Data Engineering at Trainline
At the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self‑service analytics, and support innovative machine learning models and real‑time data products. Data Engineers work alongside BI Developers and Data Scientists in cross‑functional teams. They are given high levels of autonomy and freedom to innovate, with clear progression plans and training opportunities through Data Camp.
Responsibilities
- Make our data lake more accessible and insightful by working on new data marts and designing data models for all users
- Build data pipelines with Spark or DBT
- Transform data into meaningful insights using SQL
- Build and deploy infrastructure with Terraform
- Implement DDL and DML with Iceberg
- Review code with peers
- Orchestrate pipelines with DAGs on Airflow
- Participate in SCRUM ceremonies (stand‑ups, back‑logs, demos, retros, planning)
- Secure data with IAM and AWS Lake Formation
- Deploy changes with Jenkins and GitHub Actions
Qualifications
- Proven experience as a Data Engineer using SQL and Python
- 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 diagram of proposed tables
- Good communication skills, comfortable presenting to technical and non‑technical users
- Experience with Apache Airflow to create DAGs
- Ability to work within Agile, considering MVPs, story‑pointing and sprints
Benefits
- Private healthcare and dental insurance
- Generous work‑from‑abroad policy
- 2‑for‑1 share purchase plans
- EV Scheme to reduce carbon emissions
- Extra festive time off
- Excellent family‑friendly benefits
We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. We operate a hybrid model and ask that employees work from the office at least 60% of their time over a 12‑week period. We also have a 28‑day Work From Abroad policy.
Values
- 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
Inclusion
We know that having 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.
Data Engineer employer: Trainline International Limited
Trainline is an exceptional employer that champions a greener future for travel while fostering a vibrant and inclusive work culture. With a strong focus on employee growth, we offer clear career paths, personal learning budgets, and generous benefits such as private healthcare and a flexible work-from-abroad policy. Join our diverse team of over 1,000 Trainliners across Europe and enjoy the autonomy to innovate in your role as a Data Engineer, all while contributing to meaningful projects that impact millions of travellers.
Contact Details:
Trainline International Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Trainline International Limited.
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Trainline International Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trainline International Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trainline International Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trainline International Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
