We’re Part and Sum, a collective of curious people who help our clients bring new ideas to market and use data to grow businesses. Our strategy consulting work is powered by customer insights and our media agency work is designed to help us learn and drive continuous improvement. We have an impressive track record for a small-ish team - we work with the biggest brands in the world (alongside smaller brands, too) and we have ambitions to expand our influence over the next decade.

We’re looking for a Senior Data Analytics Engineer who can bridge engineering excellence and analytical insight designing scalable cloud architectures, automating complex workflows, and translating business questions into reliable, data-driven systems.

This role bridges data engineering, MLOps, and solution architecture ideal for someone who thrives at the intersection of infrastructure, intelligence, and impact.

What you’ll do:

• Design, build, and operationalize AI-driven data systems in the Google Cloud ecosystem leveraging Vertex AI, BigQuery, Looker, Adverity and related services for automation, analytics, and intelligent decision-making.
• Deploy, tune, and train LLM models implementing inference pipelines, fine-tuning workflows, and integration into production environments using Vertex AI, Bedrock, or custom APIs.
• Architect and maintain scalable data pipelines that enable clean, reliable data ingestion for analytics, experimentation, and model training.
• Lead the end-to-end lifecycle (SDLC) of AI projects from scoping and architecture to deployment, testing, monitoring, and iteration.
• Collaborate across growth, strategy, and client teams to identify opportunities where AI and data automation can drive measurable business and media performance.
• Implement measurement and experimentation frameworks (A/B testing, causal inference, MMM, GeoLift) that link data insights to real-world marketing outcomes.
• Support the delivery of dashboards through APIs, and automation tools that visualize insights and system performance using Looker, Data Studio, or custom frontends.
• Oversee DevOps workflows and CI/CD pipelines, ensuring smooth deployment, observability, and scalability of AI and data systems.
• Champion governance, data quality, and ethical AI practices, embedding reliability and transparency throughout the stack.
• Stay current with emerging AI, data, and media technologies continuously exploring new methods and tools for faster, smarter system design.

Who you are:

Must Haves

• 6+ years of experience in data engineering, ML systems, or applied AI, ideally within a media, analytics, or product organization.
• Hands-on experience with LLM model deployment, tuning, and training, including integration with APIs and inference pipelines.
• Advanced proficiency in Python and SQL, with strong data modeling and software engineering foundations.
• Deep familiarity with Google Cloud Platform especially Vertex AI, BigQuery, Cloud Functions, Cloud Storage, Pub/Sub, and related tools.