You will lead the data stream at an AI-native startup, owning production pipelines from architecture to execution. By building robust data structures in Snowflake and dbt, you’ll enable LLM-powered features and dashboards that fashion retailers depend on. This role combines deep data engineering with hands-on AI feature development in a fast-paced environment where your work drives commercial decisions.
Senior Data Engineer at Maeve AI
Join Maeve AI, a seed-stage London startup backed by AlbionVC and Entrepreneur First, where you’ll lead the data engineering efforts for an AI-native platform transforming the fashion retail industry. You won’t just be contributing to a platform; you’ll own the entire production pipeline and architecture, building the data foundations that power LLM agents and real-time commercial decisions for global retailers. If you’re a high-ownership engineer who thrives on shipping weekly and working at the intersection of Snowflake, Python, and Anthropic Claude, this is your chance to shape the future of retail intelligence from the ground up.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Maeve AI
Role overview
The Fashion industry loses a large amount of profit, product and planetary resources because big decisions still run on guesswork. Maeve fixes that - We’re AI for product and profit optimisation, the first platform that stops unprofitable products before they’re ever made. Our mission is to build the best fashion software ever made: the easiest to use, the most helpful, and a win for retailers, consumers and the planet alike.
We’re a small, ambitious team working with 25+ paying fashion brands. We won Startup of the Year at ShopTalk, we’re an NRF Retail Innovator, and customers tell us the product is “a revolution.” Maeve is super fast-paced, demanding, and a lot of fun!
What you will do
- Design, build, and maintain end-to-end production data pipelines using Snowflake, dbt, and Python to ingest complex commercial data from Shopify and PLM systems.
- Develop and validate AI/ML features hands-on, including prompt design and retrieval strategies, ensuring high-quality outputs against messy, real-world retail datasets.
- Optimize system performance and infrastructure costs across AWS and Snowflake, identifying and fixing expensive queries before they impact the bottom line.
Who this is a fit for
- Proven experience building and owning production-grade data pipelines at a startup, with a track record of making and living with high-level architectural calls.
- Strong proficiency in SQL and Python, with a deep understanding of modern data stacks and practical experience implementing LLM-based features or agents.
- An ambitious, quick-shipping mindset with the ability to translate commercial priorities into technical roadmaps while maintaining rigorous standards for data accuracy.
Why this role is remarkable
- True ownership of the data platform at a seed-stage startup, where your architectural decisions directly shape the product’s long-term capability and performance.
- Work in an unapologetically AI-native environment backed by top-tier investors like AlbionVC and Entrepreneur First, where LLMs are core product features rather than add-ons.
- Join a high-caliber technical team that ships weekly, utilizing cutting-edge tools like Snowflake Cortex and Anthropic Claude to solve complex retail challenges for enterprise clients.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Maeve AI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.