Conversational Analytics Engineer - GCP
Valtech
| Company | Valtech |
| Category | Engineering |
| Location | London |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 29 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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 are proud of:
The work we do and the innovation we drive
Our values of share, care a nd dare
A workplace culture that fosters creativity, diversity and autonomy
Our borderless, global framework, which enables seamless collaboration
The role
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
Data Engineering, AI & Delivery
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
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
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