Solutions Engineer

Your ExperienceWe'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 visualisationPower BI - Q&Q, Thoughtspot - SearchIQ / SpotIQ, Tableau - AskDataExpert 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 StepsThis 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.

The CompanyOur 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 RoleThis 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.