Senior Data Engineer

The role

You will own data engineering and hands-on migrations to bring law firm data onto the platform. You will build pipelines for analytics and product insight while managing infrastructure, security, and governance.

What you will do

• Own data engineering and hands-on work behind every migration
• Build pipelines for Analytics Engineer and product analytics
• Work with staff engineers on DevOps, infrastructure, security and governance
• Standardize migrations across firms
• Work with Analytics Engineering on a shared model with access and privacy controls
• Manage pipelines, orchestration, infrastructure, security and governance
• Keep BigQuery fast and cost-efficient

Required qualifications

• Senior data engineering experience at a startup or scale-up
• Experience owning production pipelines
• Experience with data migration and integration of messy data from different source systems
• Strong BigQuery (or similar), Python and orchestration (Dagster, Airflow or similar)
• Experience across DevOps, infrastructure, security and governance
• AI-native with opinions on where AI helps and where to draw the line
• Commercial instinct

Nice to have

• Experience across varied industries

Benefits

• Meaningful early-stage equity
• 25 days of holiday plus bank holidays
• Extra day for birthday, moving day and wedding day
• Opportunity to earn up to 5 more days with tenure
• Private Medical Insurance via Bupa
• Subsidised gym membership
• Cycle to work scheme
• Nursery benefits
• Pension contribution via Nest
• Work from anywhere for a month
• Top-spec Macbook
• Regular team building activities and socials

Before you apply

• Introductory call with Talent team
• Interview with Head of Data
• Technical interview
• In-person values interview with CTO/Co-Founder

About the company

Lawhive is an AI-native law firm operating in the US and UK. They build an AI platform to support lawyers and back-office teams.