At a Glance
- Tasks: Design and enable data science workloads on modern platforms, ensuring reliability and availability.
- Company: NTT DATA, a leading tech company in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with excellent career advancement opportunities.
- Why this job: Join a dynamic team and work with cutting-edge data technologies to make an impact.
- Qualifications: 3–6 years of experience in data roles, strong SQL and Python skills.
The predicted salary is between 50000 - 65000 £ per year.
NTT DATA in Greater London is seeking a platform-oriented Data Scientist to work with data pipelines and data models. You will focus on designing and enabling data science and analytics workloads on modern data platforms, ensuring reliability and availability for downstream use.
The ideal candidate will have 3–6 years of experience in data roles, strong SQL and Python skills, and hands-on experience with Snowflake, Databricks, and Microsoft Fabric.
Data Platform Engineer — Analytics & Production‑Ready Data employer: NTT DATA
NTT DATA is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those looking to grow their careers in data science and analytics. Join us to be part of a forward-thinking team that values your contributions and supports your journey towards excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer — Analytics & Production‑Ready Data
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at NTT DATA or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and models. Use platforms like GitHub to share your projects, especially if they involve SQL, Python, Snowflake, or Databricks. This will make you stand out!
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and Python skills, and be ready to discuss your experience with data platforms. Practising common data engineering problems can really boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you ace your application. Plus, applying directly shows your enthusiasm and commitment to joining the team at NTT DATA.
We think you need these skills to ace Data Platform Engineer — Analytics & Production‑Ready Data
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and models. We want to see your SQL and Python skills shine, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the Data Platform Engineer role. Share specific examples of how you've designed analytics workloads or worked with tools like Snowflake and Databricks.
Showcase Your Problem-Solving Skills:In your application, give us a glimpse of how you tackle challenges in data engineering. We love seeing candidates who can think critically and come up with innovative 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 NTT DATA
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your hands-on experience with Snowflake, Databricks, and Microsoft Fabric. Having specific examples of how you've used these tools in past projects will really impress them.
✨Understand the Role
Take the time to thoroughly read the job description and understand what a Data Platform Engineer does. Be prepared to explain how your experience aligns with designing and enabling data science and analytics workloads. This shows that you’re not just interested in any job, but specifically this one.
✨Prepare for Technical Questions
Expect some technical questions or even a practical test during the interview. Practise common data engineering problems and be ready to demonstrate your problem-solving skills. This is your chance to shine, so don’t shy away from showcasing your expertise!
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask. Inquire about the team’s current projects or challenges they face with their data platforms. This not only shows your interest but also helps you gauge if the company is the right fit for you.
