At a Glance
- Tasks: Build and enhance data pipelines and models using SQL and Python.
- Company: Leading travel tech company in the UK with a focus on innovation.
- Benefits: Private healthcare, work-from-abroad policies, and supportive team culture.
- Other info: Hybrid role with excellent career growth opportunities.
- Why this job: Join a dynamic team and grow your career in a thriving industry.
- Qualifications: Experience with SQL, Python, AWS data lakes, and DBT.
The predicted salary is between 50000 - 70000 £ per year.
A leading travel technology company in the UK is seeking a skilled Data Engineer to build and enhance data pipelines and models. The ideal candidate will have proven experience with SQL and Python, and familiarity with AWS data lakes and DBT. This hybrid role offers excellent career growth opportunities, along with fantastic benefits such as private healthcare, work-from-abroad policies, and a supportive team culture focused on innovation and diversity.
Data Engineer — Spark, DBT & Data Pipelines employer: Trainline
Join a leading travel technology company in the UK, where innovation meets opportunity. As a Data Engineer, you'll thrive in a supportive team culture that values diversity and creativity, while enjoying fantastic benefits like private healthcare and flexible work-from-abroad policies. With a strong focus on career growth, this hybrid role is perfect for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — Spark, DBT & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those involving data pipelines. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on AWS data lakes and DBT. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer — Spark, DBT & Data Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and any relevant tools like AWS and DBT. We want to see how your skills match the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our innovative team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any cool data pipelines or models, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Trainline
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building data pipelines. Familiarity with AWS data lakes and DBT will also be a big plus, so don’t forget to highlight any relevant experience.
✨Showcase Your Problem-Solving Skills
Data engineering often involves tackling complex problems. Prepare to share specific examples of challenges you've faced in previous roles and how you overcame them. This will demonstrate your analytical thinking and ability to innovate, which is key for a company focused on diversity and innovation.
✨Understand the Company Culture
Research the travel technology company’s values and culture. Since they emphasise a supportive team environment, think about how you can contribute to that culture. Be ready to discuss how you work collaboratively and supportively with others, as this will resonate well with their team ethos.
✨Prepare Questions to Ask
Interviews are a two-way street! Prepare thoughtful questions about the role, the team, and the company’s future projects. This shows your genuine interest in the position and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
