Data Platform Engineer; Analytics & Modelling

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

• 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