Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design scalable data pipelines and optimise Lakehouse architectures for advanced analytics.
- Company: Leading global IT service provider with a focus on innovation.
- Benefits: Flexible work options and a comprehensive benefits package.
- Why this job: Join a diverse team and drive innovation in data engineering.
- Qualifications: 5+ years of Databricks experience and a relevant degree required.
- Other info: Exciting opportunities for professional growth in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading global IT service provider is looking for a skilled Databricks Data Engineer in Greater London. The role involves designing scalable data pipelines, optimizing Lakehouse architectures, and enabling advanced analytics and AI capabilities.
The ideal candidate will have significant expertise in data engineering, client engagement, and collaborate in a diverse team to drive innovation. A minimum of 5 years of experience with Databricks and a relevant degree are essential.
The company offers flexibility and a comprehensive benefits package.
Databricks Data Engineer — Flexible Work & Scalable Pipelines employer: NTT America, Inc.
Contact Detail:
NTT America, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer — Flexible Work & Scalable Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects related to scalable data pipelines and Lakehouse architectures. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've driven innovation in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that fits your skills and aspirations. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Databricks Data Engineer — Flexible Work & Scalable Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and 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 Your Collaboration Skills: Since this role involves working in a diverse team, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you can fit into our culture.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, we can’t wait to hear from you!
How to prepare for a job interview at NTT America, Inc.
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your experience with designing scalable data pipelines and optimising Lakehouse architectures. Prepare specific examples of projects you've worked on that showcase your expertise.
✨Showcase Your Client Engagement Skills
Since client engagement is key for this role, think about times when you've successfully collaborated with clients or stakeholders. Be prepared to share how you communicated complex data concepts in a way that was easy for them to understand.
✨Emphasise Team Collaboration
This position requires working in a diverse team, so highlight your teamwork skills. Share examples of how you've contributed to team success and driven innovation in past roles. This will show that you're not just a tech whiz but also a great team player.
✨Prepare Questions About Flexibility and Benefits
Since the company offers flexible work arrangements, come prepared with questions about how this works in practice. This shows your interest in the company culture and helps you assess if it’s the right fit for you.
