Jack & Jill
Software Engineer (Data Platforms) (£75k-£200k + Equity) at Squid
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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
Software Engineer (Data Platforms)
Salary
£75k-£200k + Equity
Company Description
Squid is a Y Combinator-backed London startup building an agentic modelling platform for power grids to solve the energy transition's biggest bottleneck. Backed by YC and working with leaders like National Grid, Squid provides a versioned, auditable source of truth where humans and AI agents work together on complex infrastructure modeling.
Job Description
Join Squid as a founding data engineer to build the production-grade foundations of our grid modeling platform. You will design scalable data models and high-integrity pipelines that unify messy legacy infrastructure data into an auditable source of truth, enabling humans and AI agents to modernize national power systems safely and efficiently.
Location
London, UK
Why this role is remarkable
- Join as one of the first engineers at a YC-backed company tackling the critical infrastructure bottleneck preventing the global transition to clean energy.
- Work directly with founders from National Grid, Octopus Energy, and AWS while partnering with industry giants like National Grid and Northern Powergrid.
- Shape the entire data architecture from the ground up in a high-ownership role that combines data engineering, software design, and applied AI.
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What You Will Do
- Build production data pipelines and DAG-based orchestration systems to ingest, transform, and validate complex, inconsistent technical and geospatial grid datasets.
- Design scalable data models and storage systems that serve as a versioned, auditable source of truth for power grid modeling and decision-making.
- Develop APIs and services that integrate processed data into agentic AI systems, ensuring high-quality foundations for collaborative human-AI grid planning.
The ideal candidate
- Strong professional experience in Python and SQL, with a proven track record of building and maintaining production data pipelines and DAG orchestration.
- Expertise in designing complex data models, schemas, and transformation layers, particularly when dealing with messy, incomplete, or poorly documented source data.
- Solid software engineering fundamentals including testing, code review, and maintainable system design, with a deep interest in applying AI to technical engineering problems.
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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