Jack & Jill
Senior Data Engineer at Maeve AI
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
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Job Title
Senior Data Engineer
Salary
Not Disclosed
Company Description
Maeve AI is a seed-stage London startup backed by AlbionVC and Entrepreneur First, building an AI-native SaaS platform that transforms retail commercial data into automated decisions and agent-powered insights.
Job Description
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.
Location
London, UK
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.
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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.
The ideal candidate
- 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.
Who are Jack & Jill?
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
How does this work?
- 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 it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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