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For Companies At a Glance
- Tasks: Lead customer onboarding and enhance AI capabilities for data analytics.
- Company: Join a leading global supply chain organisation shaping data-driven intelligence.
- Benefits: Competitive salary, benefits, and opportunities for career growth in AI.
- Why this job: Make a real impact by democratizing data and driving innovation.
- Qualifications: 3+ years in analytics or data engineering with strong technical skills.
- Other info: Exciting role in a dynamic environment focused on advanced analytics.
The predicted salary is between 60000 - 84000 £ per year.
Our client is a leading global supply chain organisation that is shaping the future of data‑driven intelligence for some of the world's 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.
Solutions Engineer in Leeds employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in analytics engineering and AI/LLM. This will give you something tangible to discuss during interviews and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for Solutions Engineers and practice your responses. Be ready to discuss your experience with Natural Language Processing and how you've tackled challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Solutions Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Solutions Engineer role. Highlight your experience with analytics engineering, AI/LLM concepts, and any customer-facing roles you've had. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven intelligence and how you can contribute to our mission. Be sure to mention specific experiences that relate to the key responsibilities of the role.
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Make sure to detail your expertise in DBT, SQL, and any NLQ tools you've worked with. We love seeing concrete examples of how you've used these skills in past roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Stuff
Make sure you brush up on your knowledge of Natural Language Processing and LLM products. Familiarise yourself with the tools mentioned in the job description, like Power BI and DBT. Being able to discuss these confidently will show that you're serious about the role.
✨Showcase Your Experience
Prepare specific examples from your past roles where you've successfully onboarded customers or improved data ecosystems. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your problem-solving skills and customer-facing experience effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data architecture and their vision for AI/LLM capabilities. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
✨Practice Makes Perfect
Conduct mock interviews with a friend or use online resources to practice common interview questions related to analytics engineering and customer training. The more comfortable you are speaking about your skills and experiences, the more confident you'll be during the actual interview.
