Lead Backend Engineer, Data & AI

October 13

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Thirdfort

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Compliance • Fintech • Cybersecurity

Thirdfort is a company that provides automated ID verification, anti-money laundering, and Source of Funds checks to protect significant transactions for businesses and their clients. By streamlining the client onboarding process and ensuring compliance with ever-changing regulations, Thirdfort helps businesses reclaim valuable time and safeguard against fraud with advanced security technology. Regulated by the Financial Conduct Authority, Thirdfort prioritizes client safety and data protection while offering reliable verification solutions for various sectors such as legal services and real estate.

51 - 200 employees

Founded 2017

📋 Compliance

💳 Fintech

🔒 Cybersecurity

📋 Description

• Define and own the data strategy in collaboration with the Head of Engineering, managing data infrastructure, schema and APIs, and ensuring data is user-friendly. • Establish strong data foundations by identifying data sources, assessing their quality, iterating on the data model, and improving our data pipelines. • Identify opportunities for product-driven AI initiatives and build working prototypes or complete solutions to deliver quick wins. • Develop our foundational data architecture and outline key focus areas for the next 1-2 years, including democratising data access and determining our approach to LLM usage. • Consider opportunities to adopt recent advances in AI workflows including Model Context Protocol (MCP), Agentic approaches leveraging existing foundational models. • Take ownership of identifying and mitigating security, quality, and compliance risks within the data estate. • Support and advise colleagues on the existing data stack.

🎯 Requirements

• Has a product engineering mindset with a strong focus on customer outcomes. • Has at least two years of practical experience in data engineering, including ingesting and transforming data and designing schemas. • Has professional experience (at least 6+ months) integrating Machine Learning (ML) and Large Language Models (LLMs) into real business processes. • Can demonstrate taking the lead on designing and implementing an AI solution that delivered significant customer benefits, from exploring the business use case to technical design. • Has significant experience building responsive, performant APIs for internal and external engineering teams. • Has experience with modern software engineering practices and backend languages. • Is a leader who can independently shape conversations and decisions to deliver pragmatic solutions with concrete business impact.

🏖️ Benefits

• Compensation - £95K- £115K p.a. base salary • Share options for all employees • Flexible Working Hours • Enhanced parental leave • Customisable wellness budget and £250 WFH Budget • Up to 30 days Working from Abroad • Uncapped holiday • Enhanced sick leave • Private healthcare with our provider, AXA • Regular company and team socials • Uncapped budget for personal development • Enhanced employer matching pension scheme with salary sacrifice options • Access to our Cycle to Work scheme