Jack & Jill/External ATS - Data Infrastructure Engineer (£70k-£90k + Equity) at Arctal
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Requirements
• 3–5 years of experience building production data pipelines or ML systems with a "data-as-a-product" mindset and a deep obsession with data integrity • Expert-level Python skills with proficiency in Postgres, async programming, task queues, and scraping, alongside daily use of agentic coding tools • Proven track record in small, high-autonomy environments (2-30 people) where you drive projects from concept to shipment without needing hand-holding or tickets • 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. • 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. • Step 1. Visit our website https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=2ecf97b8-2b23-4d13-b926-2599f0bb07c5 • Step 2. Click 'Talk to Jack' • Step 3. Talk to Jack so he can understand your experience and ambitions • Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role • Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction • Step 6. If not, Jack will find you excellent alternatives. All for free • 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. • 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.
Responsibilities
• Own the end-to-end data lifecycle including ingestion, cleanup, storage, transformation, and distribution of millions of unstructured financial PDFs • Architect and maintain high-reliability pipelines and quality monitoring systems that institutional buyers rely on for multi-million dollar decision-making • Build and refine the infrastructure for existing and new AI agents, pushing the boundaries of how agentic tooling like Claude Code and Codex are used in production
Benefits
• Company Description: Arctal - AI-native financial data platform • Massive leverage: Join a lean team of five that produces the output of fifty, using a proprietary fleet of autonomous AI agents (LISA, TIM, DAN, ADA) to disrupt a $100bn+ market • Founders with pedigree: Work directly with founders who have backgrounds in Cambridge ML research and have successfully co-founded deep-tech ventures like Secondmind and Sylvera • CTO Trajectory: This is a foundational role offering a "fastest-in-market" education in agentic workflows, with a clear path to leadership as the company scales to meet existing institutional demand
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