Head of Engineering
Listed on 2026-05-16
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Engineering
Systems Engineer, Data Engineering, Data Science Manager
Head of Engineering
Final date to receive applications: 5 June 2026
Department: Technology
Employment Type: Permanent - Full Time
Location: Stratford-Upon-Avon
Reporting To: Tom Hermolle
Compensation: £95,000 - £110,000 / year
DescriptionThe Head of Engineering leads multiple product engineering squads, leveraging both UK engineering resource and Reco Tek (Reconomy’s near-shore technology scaling hub based in Bucharest), focused on delivering innovative data‑centric products for Valpak and the wider Reconomy business.
Reporting to the Chief Technology Officer (Comply) and being an active member of the Comply Technology Senior Leadership Team (SLT), the Head of Engineering is responsible for all Valpak engineering operations and for the establishment of common engineering standards, modern and secure development practices, and platform capabilities across the Comply division and the wider Reconomy organisation.
This senior leadership role will be responsible for defining and driving the delivery of a modern data platform for Valpak and Comply, contributing to and aligning with the wider Reconomy Data Strategy; using Azure Cloud technologies, overseeing the development of data infrastructure, data pipelines, and data products with a strong emphasis on security, scalability, governance, and business impact.
The Head of Engineering will be a Technology Business Partner for Valpak, accountable not only for the data platform but also for multiple line of business software applications, operational systems including Dynamics 365 CRM, and upgrade projects to migrate legacy applications to modern Azure PaaS infrastructure.
Key Responsibilities Engineering Leadership- Lead and own all software engineering delivery for Valpak, reporting to the CTO (Comply).
- Act as Valpak’s senior software engineering leader, supporting strategic initiatives and bids.
- Lead, mentor and develop Tech Leads and product engineering squads.
- Build a high‑performance engineering culture aligned to Reconomy standards.
- Drive recruitment, retention and development of engineering talent, leveraging near‑shore capability.
- Define and deliver Valpak’s engineering strategy aligned to Comply and Reconomy objectives.
- Own and maintain a multi‑year technology roadmap.
- Ensure technology investments enable scalability, efficiency and innovation.
- Continuously evolve strategy in line with market and technology trends.
- Establish and uphold engineering, architectural and coding standards.
- Embed modern development practices including Dev Ops, CI/CD and automation.
- Improve delivery speed, quality and productivity through standardised tooling and AI.
- Ensure consistency and maintainability across all software products.
- Define and deliver a multi‑year data strategy aligned to Reconomy’s Data Strategy.
- Support enterprise data architecture, governance, security and quality standards.
- Implement a Data as a Product approach, enabling reuse and potential monetisation of data assets.
- Set data engineering standards and governance across Valpak.
- Enable trusted self‑service analytics via Reconomy’s Datastream platform.
- Oversee the design, optimisation and scalability of Azure‑based data platforms.
- Implement Reconomy’s engineering quality strategy, standards and testing frameworks.
- Enforce quality gates across the full development lifecycle.
- Champion a culture of shared ownership for quality and continuous improvement.
- Provide assurance on product quality, release readiness and risk.
- Implement Reconomy’s cloud strategy across Valpak systems.
- Embed modern Dev Sec Fin Ops and shift‑left ownership within engineering teams.
- Ensure cloud platforms are secure, resilient, scalable and cost‑optimised.
- Drive automation and infrastructure‑as‑code adoption.
- Drive adoption of agentic AI across the software development lifecycle.
- Ensure AI‑assisted development is safe, secure and aligned to engineering standards.
- Track and improve engineering performance metrics and delivery predictability.
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