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- Tasks: Set technical standards and build data platforms for machine learning workloads.
- Company: Leading technology company in rail travel with a focus on innovation.
- Benefits: Excellent benefits, hybrid work model, and commitment to career growth.
- Why this job: Join a dynamic team and shape the future of data engineering in rail travel.
- Qualifications: Extensive experience in data engineering, SQL, Python, and AWS infrastructure.
- Other info: Opportunity to work in a collaborative environment with strong career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in rail travel is looking for a Principal Data Engineer. This role involves setting technical standards and partnering with teams to build data platforms that support machine learning workloads.
Ideal candidates have extensive experience in data engineering, SQL, and Python, along with a strong understanding of AWS infrastructure.
The company offers excellent benefits, a hybrid work model, and a commitment to career growth.
Lead Data Engineer – ML & Data Platform Architect employer: Trainline
Contact Detail:
Trainline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer – ML & Data Platform Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects showcasing your data engineering prowess, make sure to highlight that in conversations. It’s a great way to demonstrate your expertise in SQL, Python, and AWS.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data platform architecture knowledge and be ready to discuss how you’d tackle machine learning workloads. We recommend practicing common interview questions and scenarios.
✨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 Lead Data Engineer – ML & Data Platform Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, SQL, and Python. We want to see how your skills align with the role of Lead Data Engineer, so don’t be shy about showcasing relevant projects or 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 team. We love seeing candidates who can connect their experience to our mission.
Showcase Your AWS Knowledge: Since this role involves working with AWS infrastructure, make sure to mention any relevant certifications or projects. We’re looking for someone who can hit the ground running, so let us know how you’ve used AWS in your previous roles!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Trainline
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around SQL and Python. Be ready to discuss how you've applied these skills in past projects, as the interviewers will want to see your practical experience.
✨Familiarise Yourself with AWS
Since the role requires a strong understanding of AWS infrastructure, make sure you can talk about your experience with AWS services. Prepare examples of how you've used AWS to build or optimise data platforms, particularly for machine learning workloads.
✨Showcase Your Collaboration Skills
This position involves partnering with various teams, so be prepared to discuss how you've successfully collaborated in the past. Think of specific instances where your teamwork led to successful project outcomes, and highlight your communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career growth aspirations.