Maeve AI
Senior Data Engineer
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Our Technical Team
Our technical team operates in two main streams: data and software, with a focus of 75% on data and 25% on software. We've found AI to be incredibly effective in the software domain and invest heavily in data to build robust data structures that enable both humans and agents to perform optimally.
The Stack
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Data:
- Snowflake (including Cortex)
- dbt
- Postgres
- Ingestion from Shopify, PLMs (e.g., Centric), returns platforms, and customer warehouses (e.g., BigQuery)
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Languages:
- SQL and Python (core)
- TypeScript (nice to have)
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Product:
- React web app
- Python API (FastAPI)
- Cube.dev semantic layer
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Infrastructure:
- AWS (ECS/ECR, Lambda, RDS, S3, CloudFront)
- Docker
- A single monorepo with branch-scoped preview environments
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AI:
- LLM chat and agents (Anthropic Claude) are core product features, not add-ons
- Heavy internal use of AI coding agents
- Codebase structured for agent-driven development
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The Role
What We're Looking For
- Experience in building and owning production data pipelines at a startup
- Hands-on experience with AI/ML features, including validating models against real, messy client data
- AI-native thinking with practical judgment on working with LLMs: prompt and retrieval design, evaluating output quality, and knowing when a cheaper model is good enough
- Experience working on data-heavy products where enterprise clients depend on the numbers being right
- Ability to scope and sequence your own work, breaking commercial priorities into shippable pieces and setting realistic timelines
- Instinctive cost awareness, noticing and fixing issues before they become problems
- Natural communicator who can turn technical details into plain, simple language and build trusted relationships with customers and colleagues
- Ambitious and quick, setting high standards and preferring to ship good work this week rather than perfect work next month
- High values alignment and trust, someone we'd want beside us for the long haul
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Nice to Have
- Experience working under GDPR / ISO 27001 requirements
- Comfortable walking clients through results and the data behind them
- Understanding of the fashion/retail industry
The Details
- Start: Immediately
- Location: UK-based, hybrid with our London office (flexible arrangements)
- Employment type: Full-time
- Compensation: Competitive salary + equity via our employee share option scheme
If you don't tick every box but this role excites you, please apply anyway; we'd love to hear from you.
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