Job Description

###

About SeedLegals

Interested in exploring the world of legaltech? Join our diverse team at SeedLegals and provide high-quality support to some of London's most exciting startup founders!


SeedLegals is the leading provider of automated legal solutions for startups in the UK, France, and Ireland. We're a Series A company, backed by exceptional VCs such as Index Ventures, committed to making entrepreneurship accessible to all. We've revolutionised early-stage fundraising, team reward systems, and business scalability since our inception in 2016. With over 60,000 companies served and startups raising over 2 billion on our platform, we've become a driving force in the industry.



With offices in London, Paris, and a team in Ireland and the US, we're always looking for talented individuals to join our team.


Our values are key to our success here at SeedLegals:

We invest and trust in each other; We are committed to a growth mindset; We embrace diversity and cultivate inclusion;
We are driven by customer success.

###

The Role

We're looking for a hands-on data engineer to join SeedLegals. This role offers a rich and unparalleled exposure to the startup ecosystem. This exceptional technologist will join a lean remote team of engineers playing a crucial role in data impact felt throughout the company by:

Designing and implementing robust and well-orchestrated E2E data pipelines (ELT, Reverse-ETL). Employing data modelling techniques in BigQuery and dbt, with an emphasis on legal and venture capital data. Building production-grade LLM pipelines with complex business domain understanding. You'll have complete ownership and autonomy over the ADLC, from the initial pilot through deployment and continuous iteration.
You'll closely support and learn from internal departments, including senior stakeholders.

This is a great opportunity for someone who loves solving complex problems, wants real ownership, and is excited about applying AI/LLMs to real-world business challenges.

Requirements

Bachelor's degree in Computer Science or a related practical discipline. The ideal candidate will have at least 1 year of experience as a Data Engineer, AI Engineer, or related role. Strong software engineering fundamentals and proficiency in Python. Proficient in and passionate about SQL, dbt, and data modelling techniques. Being adept with columnar databases is a considerable advantage. Experience building or deploying AI/LLM systems in production. Familiarity with workflow orchestration frameworks (e.g. Dagster, Airflow, Argo). Experience working with AWS/GCP and utilising its databases, compute, storage, and serverless technologies is a competitive advantage. Comfortable working within the Linux OS ecosystem, including command line tools and bash or similar scripting. Problem-solving skills, passion for learning, attention to detail and excellent oral and written communication skills.
###

Even Better

Experience in architecting and implementing RESTful APIs. Prior experience with React, TypeScript, Kotlin, Java.

Benefits

Private healthcare, life, and group critical illness insurance 25 days annual leave, plus bank holidays and your birthday off 3 volunteer days per year Share options after one year in the company Pension Hybrid working policy and a 250 work-from-home allowance. Learning, development and networking opportunities with some of the most experienced individuals in UK startup law, investment, and entrepreneurship. Acess to Happl, our flexible benefits platform. Cycle to work scheme Annual learning & development budget Free lunch in the office once a week
###

Interview Process

Apply online Technical (sql/python) Technical (sql/python) Behavioural + Technical Discussion with an experienced team member / manager 30 min chat with the CEO

Salary: 50 - 70k