Engineering Lead (GCP)

TL;DR

Engineering Lead (GCP, Data): Driving the delivery of a new Model Risk Management tool and transforming commercial model monitoring capabilities with an accent on modernizing and scaling platforms for critical modelling, oversight, and regulatory processes. Focus on shaping end-to-end engineering approaches, building cloud-native, automated, and resilient solutions using modern data, cloud, and DevOps technologies on Google Cloud Platform.

Location: Hybrid Working in Leeds, United Kingdom.

Salary: £92,701–£109,060

Company

hirify.global is evolving and investing heavily in cloud, data, and modern engineering practices to transform how they deliver insights and capabilities.

What you will do

• Lead engineering delivery for Model Risk Management Platform build-out.
• Lead redesign and automation of commercial model monitoring solutions using GCP-native tooling.
• Provide hands-on technical leadership to feature teams.
• Guide architectural decisions, engineering standards, and cloud patterns.
• Lead delivery planning, prioritisation, and alignment across teams and stakeholders.
• Mentor engineers and champion high-quality engineering practices.

Requirements

• Significant engineering leadership experience (typically 7+ years) in software/data engineering.
• Strong technical background with experience designing and delivering cloud-native systems.
• Deep experience with Google Cloud Platform, including BigQuery, Cloud Composer, Cloud Storage, Logs Explorer, and Data Catalog.
• Strong experience building and leading development of model monitoring, analytical platforms, or data-intensive workflows.
• Proficiency in Python and SQL, with the ability to guide engineering standards.
• Experience leading teams using dbt (Data Build Tool) for modelling and transformation.
• Solid understanding of DevOps, CI/CD, and automation (ideally using Harness).
• Experience delivering solutions via Docker, Kubernetes, and modern orchestration patterns.

Nice to have

• Experience working in regulated environments, model risk tooling, or governance workflows.
• Knowledge of model lifecycle management, monitoring, validation, or model oversight.
• Understanding of infrastructure-as-code (Terraform, Deployment Manager).

Culture & Benefits

• Opportunity to join a company focused on building the future of finance.
• Work within a group investing heavily in cloud, data, and modern engineering practices.
• Be part of building dependable, innovative, and future-ready platforms, systems, and services.
• Agile working options, including Job Share and Hybrid Working.