At a Glance
- Tasks: Design and enable data science workloads on modern platforms like Snowflake and Databricks.
- Company: Join NTT DATA UK’s innovative Data & AI Practice.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team focused on building scalable data platforms.
- Why this job: Shape the future of data-driven decision-making in a collaborative environment.
- Qualifications: 3–6 years in data roles with strong SQL and Python skills.
The predicted salary is between 50000 - 65000 £ per year.
We are looking for a platform-oriented Data Scientist who is as comfortable working with data pipelines and data models as they are with analysis.
- 3–6 years’ experience in data-focused roles (data science, analytics engineering, or data platform roles)
- Strong hands-on experience with at least one of Snowflake, Databricks and Microsoft Fabric
- Advanced SQL skills and experience working with large-scale, distributed datasets
- Strong Python skills for data processing, transformation, and analysis
- Solid understanding of:
- Data modelling (dimensional, Lakehouse, etc.)
- Data warehousing concepts
- Batch and/or streaming data pipelines
- Experience working in cloud environments
- Experience collaborating with data engineers, architects, and platform teams
- Ability to deliver production-ready data assets, not just exploratory outputs
- (Desirable) Familiarity with Spark and distributed data processing frameworks
- (Desirable) Experience with performance tuning and cost optimisation on cloud data platforms
- (Desirable) Exposure to data governance frameworks and tooling
- (Desirable) Experience supporting BI and analytics tools (Power BI, Tableau, Qlik)
- (Desirable) Basic understanding of machine learning workflows (as a secondary capability, not core focus)
- Platform-first mindset: thinks in terms of systems, scalability, and reuse
- Strong data modelling capability: able to design data structures that support multiple use cases
- Operational focus: builds solutions that are reliable, maintainable, and production-ready
- Collaboration: works effectively across engineering, analytics, and business teams
- Clear communication: able to translate complex data concepts into business-relevant language
- Pragmatic delivery: balances technical quality with real-world constraints
You will join NTT DATA UK’s Data & AI Practice, a multi-disciplinary team delivering enterprise-scale data platforms, analytics, and AI solutions. Our focus is on building modern, scalable data platforms that enable advanced analytics and data-driven decision-making across organisations.
This role sits at the intersection of data engineering, analytics, and platform enablement, with a strong emphasis on Snowflake, Databricks, and Microsoft Fabric ecosystems. This is not a pure modelling role. You will focus on designing and enabling data science and analytics workloads on modern data platforms, ensuring that data is accessible, reliable, and production-ready for downstream use. You will play a key role in shaping how data is structured, governed, and consumed across enterprise environments.
Data Platform Engineer (Analytics & Modelling) employer: NTT DATA
At NTT DATA UK, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Platform Engineer, you will have the opportunity to work with cutting-edge technologies in a supportive environment that encourages professional growth and development. Our commitment to employee well-being is reflected in our flexible working arrangements and focus on work-life balance, making this an ideal place for those seeking meaningful and rewarding careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer (Analytics & Modelling)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Platform Engineer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Snowflake, Databricks, or Microsoft Fabric. We want to see how you’ve tackled real-world data challenges and made data accessible and reliable.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with data pipelines and modelling. We’re looking for clear communication, so practice explaining complex concepts in simple terms.
✨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 are proactive about their job search!
We think you need these skills to ace Data Platform Engineer (Analytics & Modelling)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data pipelines, SQL, and any relevant tools like Snowflake or Databricks. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've worked with large datasets or built data models. This helps us understand your hands-on experience and how you approach real-world problems in data engineering.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain complex concepts. We appreciate candidates who can communicate effectively across teams, so show us you can do that right from the start.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. 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 experience with Snowflake, Databricks, and Microsoft Fabric. Be ready to discuss specific projects where you've used these tools, focusing on how you tackled challenges and optimised performance.
✨Showcase Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem on the spot, so practice writing queries that involve large-scale datasets and data transformations.
✨Communicate Clearly
Since clear communication is key, think about how you can explain complex data concepts in simple terms. Prepare examples of how you've successfully collaborated with engineers and business teams to ensure everyone is on the same page.
✨Emphasise Your Operational Focus
Highlight your ability to build reliable and maintainable solutions. Share experiences where you’ve delivered production-ready data assets, and discuss how you balance technical quality with real-world constraints.
