Data Engineer | Hybrid | £45K–£65K Equity | London (No Sponsorship) Gravitas is partnering with a high-growth startup that’s building infrastructure for the insurance industry. We’re hiring a Data Engineer to join their London-based team (hybrid – up to 3 remote days/week). This is a hands-on, client-facing role for someone who enjoys working with complex data sets and seeing the real-world impact of their work. The Opportunity Hybrid model: Central London office, up to 3 days remote Salary: £45,000–£65,000 up to 0.15 % equity Type: Permanent, full-time Sponsorship: Not available What You’ll Be Doing Ingest, clean, and transform structured and unstructured insurance/financial data Build Python and SQL scripts to map client data to internal models Work directly with clients to understand requirements and deliver data solutions Collaborate with engineering and product teams to enhance data pipelines Drive automation and scalability across the data stack What We’re Looking For Strong skills in Python and SQL Comfortable with messy, real-world data (Excel, CSVs, APIs, PDFs) Clear communicator who thrives in client-facing situations Bonus: AWS, ETL experience, JavaScript, or familiarity with insurance data