Data Engineer
SeedLegals
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.
- 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.
- 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