At a Glance
- Tasks: Design and enable data science workloads on modern platforms.
- Company: Join NTT America, a leader in Data & AI innovation.
- Benefits: Flexible work options and collaborative team environment.
- Why this job: Make an impact by delivering production-ready data assets.
- Qualifications: 3-6 years experience with Snowflake, Databricks, SQL, and data modelling.
The predicted salary is between 50000 - 60000 € per year.
NTT America, Inc. is seeking a platform-oriented Data Scientist to join their Data & AI Practice in Greater London. The role involves designing and enabling data science and analytics workloads on modern data platforms.
Candidates should have:
- 3-6 years of experience
- Strong skills in Snowflake, Databricks, and SQL
- A solid understanding of data modelling
The position offers flexible work options and focuses on delivering production-ready data assets while collaborating with data engineering teams.
Data Platform Engineer, Analytics & Modeling in London employer: NTT America, Inc.
NTT America, Inc. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With flexible work options and a strong emphasis on employee growth, team members are encouraged to develop their skills in cutting-edge technologies like Snowflake and Databricks. Joining our Data & AI Practice means being part of a forward-thinking team dedicated to delivering impactful data solutions while enjoying the vibrant atmosphere of one of the world's most dynamic cities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer, Analytics & Modeling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at NTT America or similar companies. 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 work with Snowflake, Databricks, and SQL. Having tangible examples of your data modelling prowess can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data science concepts and analytics workloads. Practice common interview questions and scenarios related to modern data platforms to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Platform Engineer, Analytics & Modeling in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake, Databricks, and SQL. 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 science and how you can contribute to our Data & AI Practice. Keep it engaging and personal – we love a good story!
Showcase Your Data Modelling Skills:Since understanding data modelling is key for this role, make sure to include specific examples of your work in this area. We’re looking for practical insights that demonstrate your expertise and problem-solving abilities.
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. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at NTT America, Inc.
✨Know Your Tech Stack
Make sure you brush up on your skills with Snowflake, Databricks, and SQL. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Prepare to explain your understanding of data modelling concepts. Think of specific examples where you've designed data models that improved analytics or data science workloads. This will demonstrate your expertise and relevance to the role.
✨Collaboration is Key
Since the role involves working closely with data engineering teams, be prepared to talk about your experience collaborating with others. Share examples of successful teamwork and how you’ve contributed to delivering production-ready data assets.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, and how success is measured in the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
