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- Tasks: Design and build scalable data solutions using GCP and develop innovative AI/ML applications.
- Company: Join a forward-thinking tech company focused on conversational analytics and AI solutions.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for career growth.
- Other info: Collaborative culture with a focus on learning and professional development.
- Why this job: Make an impact by shaping the future of AI-driven solutions in a dynamic environment.
- Qualifications: Strong experience in GCP, BigQuery, and building ML/AI models is essential.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We're looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions. This role blends hands‑on engineering, AI/ML innovation and client‑facing problem solving. You'll work across traditional data engineering and emerging LLM/agentic AI patterns, helping design and deploy scalable, production‑ready solutions.
Responsibilities
- Design and build scalable data solutions using BigQuery and GCP‑native tooling.
- Develop and deploy ML and AI solutions, including LLM‑based and agentic systems.
- Work with tools such as Gemini to power conversational and analytical use cases.
- Build and integrate analytical agents into real‑world applications.
- Implement evaluation frameworks (version‑controlled via Git) to assess model and system performance.
- Orchestrate APIs and enable seamless integration between models, data pipelines, and applications.
- Apply modern MLOps and engineering best practices to deploy and maintain solutions in production.
- Define and assess the quality and timeliness of available data sources.
- Translate business challenges into scalable data and AI solutions.
- Communicate complex technical concepts clearly to non‑technical stakeholders.
- Lead client conversations to shape data and analytics solutions, building trust and guiding them through technical and strategic decisions.
- Work closely with cross‑functional teams (engineering, product, business).
- Help shape opportunities where conversational analytics and AI can drive value.
Qualifications
- Strong experience as a Data Engineer / Tech Lead within GCP.
- Deep expertise in BigQuery and cloud‑based data architectures.
- Hands‑on experience building and integrating ML / AI models into applications.
- Experience with LLMs, RAG, embeddings, or agentic AI systems.
- Strong programming skills (Python, SQL).
- Experience with API orchestration and system integration.
- Familiarity with evaluation pipelines and version control (Git).
- Strong communicator who can bridge technical and business teams.
- Curious, pragmatic problem solver with a focus on impact.
- Comfortable working in ambiguity and shaping new AI‑driven solutions.
- Collaborative mindset with the ability to guide and influence others.
Nice to have
- Experience with Gemini, ADK, or similar AI frameworks.
- Exposure to CDPs, analytics tooling, or customer data ecosystems.
- Experience with MLOps and productionising AI solutions.
Benefits
- Full‑time position based in the UK.
- Competitive compensation package.
- Flexibility, with remote and hybrid work options (country‑dependent).
- Career advancement, with international mobility and professional development programs.
- Learning and development, with access to cutting‑edge tools, training and industry experts.
Equal Opportunity & Diversity
We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
Conversational Analytics Engineer - GCP employer: Valtech Limited
Contact Detail:
Valtech Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Conversational Analytics Engineer - GCP
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 showcasing your projects, especially those involving GCP, BigQuery, and AI solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Conversational Analytics Engineer - GCP
Some tips for your application 🫡
Show Off Your GCP Skills: Make sure to highlight your experience with Google Cloud Platform and BigQuery in your application. We want to see how you've used these tools to build scalable data solutions, so don’t hold back on the details!
Talk About Your AI/ML Experience: Since this role involves developing and deploying ML and AI solutions, share specific examples of projects you've worked on. We love seeing hands-on experience with LLMs and agentic systems, so let us know what you've done!
Keep It Clear and Concise: When communicating your experience, remember to keep it clear and straightforward. We appreciate candidates who can bridge the gap between technical and non-technical concepts, so make sure your application reflects that skill.
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’s super easy!
How to prepare for a job interview at Valtech Limited
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery and cloud-based data architectures. Be ready to discuss how you've used these tools in past projects and how they can be applied to conversational analytics.
✨Showcase Your ML/AI Experience
Prepare to talk about your hands-on experience with ML and AI models, particularly LLMs and agentic systems. Have specific examples ready that demonstrate your ability to integrate these models into applications and the impact they had.
✨Communicate Clearly
Since you'll need to bridge the gap between technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of a few scenarios where you've successfully communicated technical ideas to clients or team members.
✨Be Ready for Problem Solving
Expect to face some real-world business challenges during the interview. Prepare to discuss how you would translate these challenges into scalable data and AI solutions, showcasing your pragmatic problem-solving skills and collaborative mindset.