Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain secure data pipelines using Snowflake and collaborate on innovative data solutions.
- Company: Join NTT DATA, a leader in Data & AI with a supportive culture.
- Benefits: Enjoy flexible work options, continuous learning, and a collaborative environment.
- Other info: Great opportunities for career growth in a dynamic team.
- Why this job: Make an impact in the world of data engineering and AI with cutting-edge technology.
- Qualifications: 5+ years in data engineering and strong problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
NTT DATA in Greater London is seeking a Snowflake Data Engineer to join their Data & AI practice. This role requires expertise in data engineering, ETL/ELT pipelines, and cloud-native platforms, particularly Snowflake.
Responsibilities include:
- Designing and maintaining secure data pipelines
- Collaborating with cross-functional teams to deliver innovative data solutions
Ideal candidates should have:
- 5+ years of experience in data engineering
- Strong problem-solving skills
- Relevant educational background
NTT DATA offers a supportive work environment with continuous learning opportunities and flexible work options.
Snowflake Data Engineer: Cloud Pipelines & AI Enablement in London employer: NTT DATA
Contact Detail:
NTT DATA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer: Cloud Pipelines & AI Enablement in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at NTT DATA. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Snowflake and cloud pipelines. This will give you an edge during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL/ELT knowledge. Practice common data engineering problems and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Snowflake Data Engineer: Cloud Pipelines & AI Enablement in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and cloud-native platforms like Snowflake. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
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 Data & AI practice. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for strong problem-solving skills, so share specific instances where you’ve designed or maintained data pipelines successfully.
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!
How to prepare for a job interview at NTT DATA
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it integrates with ETL/ELT processes. Being able to discuss specific use cases or projects where you've implemented Snowflake will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to tackle complex problems, which is crucial for this role.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Share examples of how you've worked with different departments to deliver data solutions, highlighting your communication skills and teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how NTT DATA supports continuous learning. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.