[Hiring] Senior Manager, Data & Web Engineering @QIMA

Role Description

QIMA is hiring a Senior Manager of Data & Web Engineering to lead the engineering function behind our revenue growth engine — the data, APIs, websites, and automations that connect marketing, sales, product, operations, and finance. Reporting to the VP of Marketing Data & Technology, you will set the architectural direction for a team of data, software, and web engineers, making AI a core part of how the function designs, builds, and operates.

Key Responsibilities

• Customer Data Strategy: Own the codebase, APIs, and automations behind customer data flows across websites, registrations, leads, pipeline, and reporting. Simplify, scale, and introduce AI to existing processes; build a clear roadmap to eliminate technical debt and business cases for investment or cross-departmental collaboration.
• Web & Digital Strategy: Own the global QIMA website and 20+ acquired customer-facing websites, and the cross-functional alignment that drives commercial value across all sites. Manage PII and GDPR compliance across all relevant systems.
• Marketing Systems Architecture: Design and improve the architecture that ingests data from web, CMS, email, social, search, and advertising sources and makes it understandable and usable in CRM and customer-facing systems.
• Scalability & Integration: Build the playbook, tooling, and governance to integrate acquired websites, CRMs, marketing stacks, and customer databases into QIMA’s platforms quickly and safely.
• AI & Process Automation: Embed AI into how the team designs, builds, tests, and operates. Partner with the QIMA AI Squad to identify where AI agents can replace repetitive, rules-based work across the revenue pipeline.
• Data as the Foundation for AI: Own the standards, monitoring, and remediation that keep customer data, pipeline data, and cross-platform connections fit for purpose.
• Documentation & Knowledge Management: Establish the standards, tools, and cadence to capture how systems work, how processes run, and why decisions were made.
• Team Leadership in an AI-Augmented Environment: Lead an AI-fluent team of engineers, supported by contractors and agencies where specialist depth is needed short-term.

Qualifications

• Leadership: Proven management of data and web teams, with a grasp of the distinct project lifecycles, skill sets, and cultural needs of the data discipline.
• Technical Expertise: Hands-on across API and data pipeline development, modern website architecture, and CRM platforms.
• Systems Architecture: Deep experience managing architecture for customer-facing technology.
• Analytical & Problem-Solving: Prioritises important and urgent work in an environment of continuous iteration.
• Communication & Collaboration: Operates with full transparency on pipelines, delivery timelines, and performance metrics across departments.

Requirements

• 5+ years managing a team of data engineers.
• 6+ years combined experience with Python and PHP, or equivalent modern web and data languages.
• 2+ years with MySQL or PostgreSQL.
• 2+ years using and building REST APIs.
• Current, day-to-day use of AI-assisted development tooling.
• Practical experience integrating LLMs into production workflows.
• Integration experience with a CRM platform, ideally Zoho.
• Building or managing large static websites and working with a CMS, ideally Contentful.

Benefits

• A temporary contract with the possibility of extension and eventually unlimited contract.
• Incorporation in a young and dynamic corporate environment.
• Excellent learning and development opportunities to expand your skills and knowledge.
• A dynamic and inclusive work environment with diverse and passionate colleagues.
• A company culture that values respect, diversity, and social responsibility.
• Company bonus package.
• Advanced technology in a modern workplace.
• Flexible working hours.
• Team building activities, company outings, and parties to build camaraderie.