Principal Enterprise Data Engineer

🕒 August 10

🇬🇧 United Kingdom – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FICO

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1956

💼 Consulting

🛡️ Insurance

🏥 Healthcare

Consulting • Insurance • Healthcare

FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.

📋 Description

• Design, build, deploy, and support core harness components that guide and control AI coding agents • Own and standardize feedforward guides, agent instruction files, reusable skills, architectural rules, reference documentation, and codemods • Build feedback sensors including custom linters, static analysis, architecture-fitness tests, verification loops, and LLM-as-judge reviewers • Own quality gates and release criteria for agent-produced work, including authority boundaries and human-escalation rules • Establish LLM testing infrastructure and evaluation approaches for AI-generated output quality and safety • Apply consumer and contract testing where service integration reliability matters • Run steering loops to prevent repeated agent mistakes and maintain repository knowledge as the system of record • Decide where controls run across pre-commit, post-integration, and continuous drift-detection stages • Improve observability into agent work and track engineering and agent-PR performance measures • Partner with product and platform teams to turn specifications and acceptance criteria into enforceable controls • Provide technical expertise and mentor engineers in harness practices and responsible AI-tool use

🎯 Requirements

• Bachelor’s/Master’s in Computer Science or related disciplines, or relevant commercial experience in software architecture, design, development, and testing • Seasoned software engineering experience with large, complex codebases • Strong foundation in architecture, design, testing, and maintainability • Hands-on experience with AI coding agents such as Claude Code, Codex, or similar • Experience building engineering tooling across modern stacks, including linters, static analysis, CI/CD pipelines, containerised build/test environments, and instrumentation/observability • Familiarity with agent instruction conventions such as AGENTS.md • Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work • Systems mindset and ability to encode quality standards into mechanical, repeatable rules • Judgement in selecting deterministic computational controls versus inferential LLM-based controls, with understanding of cost, speed, and reliability trade-offs • Experience owning quality-gating processes and defining release criteria • Working knowledge of autonomous-agent security, including prompt injection, tool/permission scoping, sandboxed execution, audit trails, and least-privilege guardrails • Experience with consumer/contract testing approaches such as Pact • Excellent communication skills and ability to articulate designs with architects and drive standards across teams

🏖️ Benefits

• Inclusive culture reflecting FICO’s core values • Professional development and valuable learning experiences • Competitive compensation, benefits and rewards programs • Work/life balance • Employee resource groups • Social events • Support to develop skills and grow your career • Equal employment and advancement opportunities