At a Glance
- Tasks: Build an AI-powered BI assistant from scratch, owning the project end to end.
- Company: Join SeedLegals, a leading provider of automated legal solutions for startups.
- Benefits: Enjoy hybrid/remote flexibility, free weekly lunch, and exposure to the startup ecosystem.
- Other info: Be part of a multicultural team in a dynamic environment with growth opportunities.
- Why this job: Make a real impact in the startup world with a clear deliverable and no distractions.
- Qualifications: Strong SQL, dbt experience, and hands-on LLM/agent systems knowledge required.
The predicted salary is between 49500 - 60500 £ per year.
Seed Legals is the leading provider of automated legal solutions for startups, with offices in London, New York and Paris.
Since launching in 2016, we’ve supported over 75,000 startups who have collectively raised more than £2bn on our platform.
We’re a Series A company backed by Index Ventures, on a mission to make entrepreneurship more accessible and scalable.
Our values are key to our success; here at Seed Legals, we
- Invest and trust in each other
- Are committed to a growth mindset
- And are driven by customer success
- Embrace diversity and cultivate inclusion
About the Role
We're looking for a contract Data Engineer to join us for 3–6 months to build a new AI-powered BI assistant from the ground up.
This is a dedicated, standalone project — you'll own it solo, from architecture decision through to a working, deployed agent.
Much of our data team's time today goes into one-off reporting requests — dashboard and number-pulling work that doesn't always need a human in the loop.
Your job is to build the agent that takes that work on: an AI assistant, most likely Claude-based and connected via MCP to our warehouse (Big Query/dbt), Metabase, and Git Hub, that answers routine BI questions end to end and flags the complex ones for human review.
You'll score it against an evaluation set of real historical business questions — on accuracy, run cost, and maintainability — and use that to guide the build, before deploying to an internal pilot group.
This is a rare contract: a genuinely greenfield agentic AI build with a crisp, measurable deliverable, inside a company at the heart of the UK startup ecosystem.
About the Team
We're an international team of around 20+ developers from 12 countries based in the UK and France, with a hybrid working model that allows for flexibility and collaboration.
While each team meets fortnightly at our offices near Old Street to whiteboard, plan, and socialise, you'll also have the freedom to work remotely.
Requirements
- You love solving challenging problems
- You have strong SQL and dbt experience, and you're comfortable working within an existing real‑world lineage rather than greenfield modelling
- You have hands-on experience building LLM/agent systems (Claude, MCP, or similar) — this is the core of the role, not a bonus
- You love working with AI agentically
- You're comfortable in Python for tooling and integration work
- You're happy owning a project solo, end to end, without a team to lean on day-to-day
- You own and take pride in contributing to all stages of development — from architecture through evaluation to deployment
- And if you can hit one or two of these as well, even better…
- You're familiar with Metabase or similar BI tools
- You've worked with YAML-based BI/modelling tools (e. g. Bruin)
- You've written your own plugins, skills or agents for LLMs such as Claude
- You've built evaluation sets for LLM systems and thought hard about accuracy vs run cost
- You have some personal projects on the go (a blog, open source contributions, side builds etc.)
Benefits
- You'll join a friendly, motivated and multicultural team of founders, investors, developers and growth hackers, based near Old Street in the heart of London.
- A well-scoped, standalone project with a clear deliverable — no BAU distractions
- Hybrid/remote flexibility with London office access
- Free lunch in the office once per week
- Extensive exposure to the startup world: VC fundraising, investor tax schemes, and the tooling behind 75,000+ startups
- Our Interview Process
- 30min initial call (video call)
- 1hr technical interview — we'll walk through the project brief and dig into your experience building agentic/LLM systems and working with production data models
- 30min wrap‑up call with Anthony Rose, our CEO
- #J-18808-Ljbffr
Data Engineer (3-6 month contract) at SeedLegals employer: SeedLegals
SeedLegals is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a meaningful impact in the tech industry. With a strong focus on employee growth, you will have ample opportunities to develop your legal expertise while collaborating with passionate teams across various functions. Located in the UK, SeedLegals offers a vibrant environment where your contributions directly support startups in navigating their legal challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (3-6 month contract) at SeedLegals
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like SeedLegals before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like SeedLegals.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like SeedLegals.
We think you need these skills to ace Data Engineer (3-6 month contract) at SeedLegals
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SeedLegals, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to SeedLegals, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab SeedLegals’s attention and show the tangible impact of your work.
How to prepare for a job interview at SeedLegals
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at SeedLegals.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at SeedLegals.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at SeedLegals.
