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.
Requirements
- 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.
What the job involves
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) in London 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, coupled with our focus on delivering impactful data solutions, makes us an ideal place for those seeking meaningful and rewarding careers in the heart of the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer (Analytics & Modelling) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Snowflake, Databricks, or Microsoft Fabric. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled large-scale datasets and built production-ready data assets. Practice explaining complex concepts in simple terms – it’s all about clear communication!
✨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 and engaged with our company.
We think you need these skills to ace Data Platform Engineer (Analytics & Modelling) in London
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-scale datasets or built production-ready data assets. This helps us understand your hands-on experience and how you approach real-world problems.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain complex data concepts. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it ensures your application goes directly to us. We can’t wait to see what you bring to the table!
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. Think of examples where you've worked with large-scale datasets and how you’ve transformed data for analysis. Practising some complex queries beforehand can really help you feel confident.
✨Emphasise Collaboration
This role requires working closely with data engineers and business teams. Be prepared to share experiences where you successfully collaborated across different teams, highlighting your communication skills and ability to translate technical concepts into business language.
✨Think Production-Ready
Focus on your operational mindset. Discuss how you've built reliable and maintainable data solutions in the past. Be ready to explain your approach to ensuring that data assets are production-ready, not just exploratory outputs.
