Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
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.
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
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all.
The benefits
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
- Learning and development, with access to cutting edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.