At a Glance
- Tasks: Join a dynamic team to build scalable data platforms and enable advanced analytics.
- Company: NTT DATA UK, a global leader in tech solutions with a focus on innovation.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Inclusive culture with diverse networks and a commitment to equity and growth.
- Why this job: Make a real impact by shaping data-driven decision-making across organisations.
- Qualifications: 3-6 years in data roles, strong SQL and Python skills, experience with Snowflake or Databricks.
The predicted salary is between 50000 - 65000 € per year.
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.
What you’ll be doing:
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. 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.
What experience you’ll bring:
- 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 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
Preferred skills and qualifications:
- Familiarity with Spark and distributed data processing frameworks
- Experience with performance tuning and cost optimisation on cloud data platforms
- Exposure to data governance frameworks and tooling
- Experience supporting BI and analytics tools (Power BI, Tableau, Qlik)
- 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
Who we are:
We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation.
What we’ll offer you:
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
Data Platform Engineer employer: NTT DATA
At NTT DATA UK, we pride ourselves on being an exceptional employer that champions a culture of inclusivity, collaboration, and continuous learning. Our Data & AI Practice offers a dynamic environment where you can thrive alongside talented colleagues while working on cutting-edge data platforms and analytics solutions. With tailored benefits, flexible work options, and a strong commitment to employee growth, we empower our team members to achieve their full potential in a supportive and innovative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at NTT DATA UK. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Snowflake, Databricks, or Microsoft Fabric, make sure to highlight specific projects or challenges you've tackled. Real-world examples speak volumes!
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past roles, especially in data engineering and analytics contexts.
✨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, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Platform Engineer. Highlight your experience with Snowflake, Databricks, and Microsoft Fabric, and don’t forget to showcase your SQL and Python skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platforms and how your background makes you a perfect fit for our team at NTT DATA UK.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or optimising cloud environments, real-world examples can really set you apart from other candidates.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to see your application and get you one step closer to joining our amazing team!
How to prepare for a job interview at NTT DATA
✨Know Your Tech Stack
Make sure you’re well-versed in Snowflake, Databricks, and Microsoft Fabric. Brush up on your SQL and Python skills, as these will likely come up during technical discussions. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Data Mindset
Prepare to talk about your experience with data pipelines and data models. Think of specific examples where you’ve designed or enabled data science workloads. Highlight how you ensure data is accessible and production-ready, as this aligns perfectly with what they’re looking for.
✨Collaboration is Key
Since this role involves working with various teams, be ready to discuss your collaborative experiences. Share examples of how you’ve worked effectively with data engineers, architects, and platform teams. This will demonstrate your ability to communicate complex data concepts in a way that’s relevant to different stakeholders.
✨Emphasise Your Operational Focus
Talk about your approach to building reliable and maintainable solutions. Be prepared to discuss any performance tuning or cost optimisation strategies you’ve implemented in cloud environments. This shows that you not only think about the technical aspects but also the practical implications of your work.
