At a Glance
- Tasks: Design and develop data processes and products while mentoring fellow engineers.
- Company: A leading UK bank with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid working pattern, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in cloud analytics and data pipelines.
- Qualifications: Strong background in data engineering and experience with cloud technologies.
- Other info: Exciting opportunity to work in a supportive environment with career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading UK bank is seeking a Senior Data Engineer to design and develop data processes and products. This role involves collaboration with feature teams, mentoring engineers, and implementing high-quality solutions on the Google Cloud Platform.
The ideal candidate should possess a strong background in data engineering, experience with cloud technologies, and excellent problem-solving skills.
The position offers a hybrid working pattern and a competitive salary.
Lead Data Engineer: Cloud Analytics & Data Pipelines employer: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Cloud Analytics & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the bank or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects, especially those involving cloud technologies. This will give potential employers a taste of what you can do.
✨Tip Number 3
Practice makes perfect! Brush up on your problem-solving skills with mock interviews or coding challenges. This will help you feel more confident when tackling technical questions during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Lead Data Engineer role. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Lead Data Engineer: Cloud Analytics & Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and cloud technologies. We want to see how your skills align with the role, 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 enthusiasm and a bit of personality!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We’re looking for those excellent problem-solving skills that will help us implement high-quality solutions.
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 Lloyds Bank plc
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially those related to cloud technologies. Be ready to discuss your experience with Google Cloud Platform and how you've designed and developed data processes in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you resolved them. This will demonstrate your analytical thinking and ability to implement high-quality solutions.
✨Emphasise Collaboration and Mentoring
Since the role involves working with feature teams and mentoring engineers, be sure to highlight your teamwork experiences. Discuss how you've collaborated with others and supported junior engineers in their development.
✨Ask Insightful Questions
Prepare thoughtful questions about the bank's data strategy and the tools they use. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.