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- Tasks: Design and build scalable data solutions using GCP and develop innovative AI solutions.
- Company: Valtech, a forward-thinking company focused on digital transformation.
- Benefits: Flexible remote work, competitive pay, and opportunities for career advancement.
- Other info: Dynamic environment with continuous learning and professional growth opportunities.
- Why this job: Join a team that shapes the future of conversational analytics and AI.
- Qualifications: Experience in GCP, BigQuery, and integrating ML/AI models.
The predicted salary is between 60000 - 80000 ÂŁ per year.
The opportunity at Valtech offers an environment designed for continuous learning, meaningful impact, and professional growth. 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.
Role 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
Problem Solving & Client Engagement:
- 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
Required Skills:
- 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
- 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
This is a full time position based in the UK. Beyond a competitive compensation package, we offer flexibility, with remote and hybrid work options (country‑dependent), career advancement, with international mobility and professional development programs, and learning and development, with access to cutting‑edge tools, training and industry experts.
Conversational Analytics Engineer - GCP employer: Valtech
Contact Detail:
Valtech 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 will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in previous roles, especially around data engineering and AI. Practice explaining complex concepts in simple terms!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Conversational Analytics Engineer - GCP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Conversational Analytics Engineer. Highlight your experience with GCP, BigQuery, and any relevant AI/ML projects. 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 conversational analytics and how you can make an impact at Valtech. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; share examples of how you've tackled complex problems in the past. We’re keen on seeing how you translate business challenges into scalable data solutions, so give us the good stuff!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Valtech
✨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 specific projects where you've used these tools, as this will show your hands-on experience and expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated complex business challenges into scalable data and AI solutions. Think about times when you’ve led client conversations and how you built trust while guiding them through technical decisions.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to bridge the gap between technical and non-technical stakeholders, so being able to communicate effectively is key to making a great impression.
✨Demonstrate Your Collaborative Spirit
Be ready to discuss how you've worked with cross-functional teams in the past. Highlight your ability to guide and influence others, as this role requires a collaborative mindset to shape new AI-driven solutions.