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Conversational Analytics Engineer - GCP

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Valtech

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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
What 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

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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