Solutions Engineer

KDR Talent Solutions; Leeds; On-site; GBP 70,000 - 80,000; Full time

Job summary

A leading global supply chain organisation is seeking a Solutions Engineer specializing in Natural Language Querying to enable AI capabilities and enhance self-service analytics across the company. This role requires over 3 years in analytics or data engineering, along with expertise in modern data models and tools such as DBT, Power BI, and advanced SQL. The successful candidate will lead customer onboarding and continuously improve the data ecosystem, working in an exciting and cutting-edge environment.

Qualifications

• 3+ years in analytics engineering, data engineering, or similar roles.
• Familiarity with AI/LLM concepts and tools used in data visualisation.
• Expert proficiency in DBT and advanced SQL.

Responsibilities

• Lead customer onboarding for analytics platforms.
• Enrich datasets for AI/LLM applications.
• Monitor NLQ performance and implement optimisation strategies.

Skills

Analytical problem solving

Strong communication skills

Customer-facing experience

Understanding of AI/LLM

Tools

Power BI

Thoughtspot

Tableau

DBT

Job description

Solutions Engineer (Natural Language Querying) | Leeds/London UK | £70,000 - £80,000 + Benefits

The Company

Our client is a leading global supply chain organisation that is shaping the future of data‑driven intelligence for some of the worlds biggest retail and FMCG companies. They are committed to empowering businesses through advanced analytics, AI, and their modern data architecture.

Why join them?

• Work at the intersection of data engineering, analytics, and AI.
• Influence the future of their enterprise data platform.
• Career growth in a rapidly evolving data and AI landscape.

The Role

This is no ordinary Solutions Engineer role, this would suit a presales engineer or vendor solutions engineer or architect with skills and experience in Natural Language Processing and LLM based products.

Specifically, you will play a key role in enabling advanced AI/LLM capabilities and driving self‑service analytics across the organisation. You’ll design and implement modern data models, onboard internal customers to the analytics platform, and continuously improve the data ecosystem for scalability and accuracy.

Key responsibilities:

• Lead customer onboarding for analytics platforms, delivering training and technical support.
• Enrich datasets for AI/LLM applications, including metadata management and semantic layers.
• Monitor Natural Language Query (NLQ) performance and implement optimisation strategies.
• Develop and maintain a strategic roadmap for platform scalability and accuracy.
• Design and develop integrated data models using DBT and dimensional modelling best practices.

Your Experience

We’re looking for a proactive, problem‑solving professional with strong technical and communication skills.

Essential experience:

• 3+ years in analytics engineering, data engineering, or similar roles.
• Familiarity with AI/LLM concepts and NLQ tools used in data visualisation
• Power BI - Q&Q, Thoughtspot - SearchIQ / SpotIQ, Tableau - AskData
• Expert proficiency in DBT and advanced SQL.
• Customer‑facing experience in training or implementation.

You will play a critical role in the democratization of data within this company, working as the internal product specialist and allowing business users to query data and get what they need via natural language. This is a VERY exciting role!

Next Steps

This Analytics Engineer role is a critical hire for our client. Please only apply if you meet the criteria above and are ready to make an impact in a cutting‑edge data environment.