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 with strong SQL and Python skills.
The predicted salary is between 50000 - 60000 £ 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
- Hands-on experience with Snowflake, Databricks, and Microsoft Fabric
Data Platform Engineer — Analytics & Production‑Ready Data in London 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 growth opportunities, including access to cutting-edge technologies and professional development programmes, making it an ideal place for those looking to advance their careers in data science and analytics. With a commitment to work-life balance and a supportive team environment, NTT DATA stands out as a rewarding workplace for passionate individuals seeking meaningful contributions in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer — Analytics & Production‑Ready Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, Snowflake, and Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical scenarios. Practice explaining your thought process when designing data pipelines or working with analytics workloads—this will help us see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Platform Engineer — Analytics & Production‑Ready Data in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and models. We want to see how your skills in SQL and Python shine through, 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 your work with Snowflake, Databricks, or Microsoft Fabric to grab our attention!
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've tackled challenges in data science and analytics. We love seeing how you approach problems 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’re considered for the role without any hiccups!
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 how you've used Snowflake, Databricks, and Microsoft Fabric in your previous roles. Having specific examples of projects where you implemented these tools will show your hands-on experience.
✨Understand the Role
Take the time to really understand what a Data Platform Engineer does, especially in the context of analytics and production-ready data. Familiarise yourself with the responsibilities mentioned in the job description, so you can confidently explain how your background aligns with their needs.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of data pipelines and models. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Problem-Solving Skills
Be prepared to discuss challenges you've faced in previous data roles and how you overcame them. Highlight your problem-solving skills and your approach to ensuring reliability and availability in data platforms, as this is crucial for the role.
