At a Glance
- Tasks: Design and enable data science workloads on modern platforms for advanced analytics.
- Company: Join NTT DATA UK’s innovative Data & AI Practice with a global reach.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Inclusive culture with various support networks and a commitment to diversity.
- Why this job: Shape the future of data-driven decision-making in a collaborative environment.
- 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:
- Required skills and qualifications:
- 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 in London employer: NTT DATA
NTT DATA UK is an exceptional employer that champions a collaborative and inclusive work culture, empowering employees to thrive in their careers. With a strong focus on continuous learning and development, employees have access to tailored benefits and flexible work options, ensuring a healthy work-life balance. Joining our Data & AI Practice means being part of a dynamic team that is at the forefront of innovative data solutions, making a meaningful impact across organisations while fostering diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in London
✨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 that in conversations. Share specific examples of how you've used these tools to solve real problems.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've built data pipelines or worked with large datasets. We want to see your thought process and problem-solving abilities!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at NTT DATA UK.
We think you need these skills to ace Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your hands-on experience with Snowflake, Databricks, or Microsoft Fabric, and don’t forget to showcase your SQL and Python prowess!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for the Data Platform Engineer role. Share specific examples of how you've designed data models or built data pipelines, and how that aligns with our focus on modern data platforms.
Showcase Collaboration Skills:Since this role involves working with various teams, mention any past experiences where you collaborated with data engineers or analytics teams. We love seeing how you can communicate complex data concepts in a way that everyone understands!
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at NTT DATA
✨Know Your Data Platforms
Make sure you brush up on your knowledge of Snowflake, Databricks, and Microsoft Fabric. Be ready to discuss how you've used these platforms in your previous roles, focusing on specific projects where you designed data pipelines or analytics workloads.
✨Showcase Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice working with large-scale datasets and think about how you can explain your thought process clearly.
✨Emphasise Collaboration
This role requires working closely with data engineers and platform teams. Be ready to share examples of how you've successfully collaborated in the past, highlighting your ability to communicate complex data concepts in a way that resonates with non-technical stakeholders.
✨Think Production-Ready
Focus on your operational mindset. Be prepared to discuss how you've built reliable and maintainable data solutions in the past. Think about challenges you've faced in delivering production-ready data assets and how you overcame them.
