At a Glance
- Tasks: Build scalable data models and production-grade pipelines for power grid modelling.
- Company: Join Squid, a Y Combinator-backed startup revolutionising clean energy infrastructure.
- Benefits: Competitive salary, equity options, and the chance to work with industry leaders.
- Other info: High-ownership role with excellent career growth in a dynamic environment.
- Why this job: Be a founding engineer tackling global energy challenges with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and building production data pipelines.
The predicted salary is between 75000 - 200000 £ per year.
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.
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.
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.
Software Engineer (Data Platforms) (£75k-£200k + Equity) at Squid employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (Data Platforms) (£75k-£200k + Equity) at Squid
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We think you need these skills to ace Software Engineer (Data Platforms) (£75k-£200k + Equity) at Squid
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jack & Jill!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
