
51 - 200 employees
Founded 2019
⚖️ Legal
💼 Consulting
💳 Fintech
Legal • Consulting • Fintech
Legl is a technology startup focused on modernizing the legal industry by providing an all-in-one platform that automates client onboarding processes, KYC (Know Your Client), AML (Anti-Money Laundering), and financial services. Their platform includes features for identity verification, regulatory compliance, payment processing, and workflow automation, helping firms improve efficiency, reduce lock-up times, and enhance overall client experiences. Legl aims to drive innovation and streamline operations for legal professionals, ensuring compliance and enhancing service delivery.
🔥 9 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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51 - 200 employees
Founded 2019
⚖️ Legal
💼 Consulting
💳 Fintech
Legal • Consulting • Fintech
Legl is a technology startup focused on modernizing the legal industry by providing an all-in-one platform that automates client onboarding processes, KYC (Know Your Client), AML (Anti-Money Laundering), and financial services. Their platform includes features for identity verification, regulatory compliance, payment processing, and workflow automation, helping firms improve efficiency, reduce lock-up times, and enhance overall client experiences. Legl aims to drive innovation and streamline operations for legal professionals, ensuring compliance and enhancing service delivery.
• Own business problems, not just data requests • Deliver data-led solutions end to end • Own correctness and validation • Operate as the conduit between technical & commercial stakeholders
• Strong data modelling and hands-on experience building tested, version-controlled transformations on a cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) • You have real analytics-engineering craft, and you've done the hard parts • You treat data as a product, not a pile of queries • You're fluent enough in SQL and data modelling to know when a plausible-looking answer is actually wrong • You can review and validate what AI produces • You're comfortable owning ambiguity: you can take a vague, high-stakes question, run discovery, prioritise, and commit to a direction without waiting for perfect inputs.
• Flexible working arrangements
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