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About the Role
As Head of Engineering at Retail Insight, you will lead multiple engineering squads, playing a pivotal role in how we build, deliver, and evolve our technology. This leadership role is for someone who thrives on developing people, improving engineering capability, and creating an environment where great teams can do their best work, combining technical credibility with strong coaching skills to enhance delivery quality, pace, and impact.
Responsibilities
- Lead, mentor, and develop high-performing engineering teams.
- Drive continuous improvement across engineering processes, delivery practices, and technical capability.
- Create alignment, clarity, and focus across multiple squads.
- Partner with stakeholders to ensure successful delivery of key business initiatives.
- Help shape both the technology roadmap and product roadmap.
- Remove blockers, solve resourcing challenges, and improve team effectiveness.
- Champion engineering excellence, quality, and operational performance.
- Support hiring, coaching, and career development across the department.
- Act as a senior escalation point for technical, delivery, and operational challenges.
- Use data, metrics, and insights to identify opportunities for improvement.
- Champion the use of AI tools across the Software Development Lifecycle.
- Evaluate and introduce AI-powered engineering tools that improve productivity and quality.
- Help teams leverage AI for coding, testing, documentation, code reviews, and incident investigation.
- Foster a culture where AI supports continuous learning, innovation, and personal productivity.
- Act as a role model for AI-first ways of working across the engineering organisation.
Requirements
- Experience leading software engineering and/or data engineering teams.
- Strong technical understanding of modern data platforms and engineering practices.
- Experience managing multiple teams and balancing competing priorities.
- A passion for coaching, mentoring, and developing others.
- The ability to translate technical concepts into clear business outcomes.
- Strong stakeholder management and communication skills.
- Experience operating in fast-paced, agile environments.
- A naturally curious mindset with a focus on continuous improvement.
- Worked within retail, grocery, analytics or data-led businesses (bonus points).
Skills
- Databricks
- PySpark
- Python
- Lakehouse architectures
- Large-scale data processing platforms
- Modern cloud technologies
Location
- Hybrid (typically 2 days in the office)
- Work from anywhere
Work Type
- Hybrid
- Full-time
Experience Level
- Leadership
Benefits
- Flexible working
- Hybrid work model
- Work from anywhere policy
- 25 days annual leave (+ bank holidays)
- Annual leave increasing with length of service
- Extra day off for your birthday
- Summer hours
- Learning & Development platform access
- Structured career progression plans
- Private Medical Insurance
- Healthcare cash plan
- Mental health support via Help@Hand
- Workspace assessment for home setup
- Paid volunteer days
- Charity donation matching
- Give as You Earn scheme
- Car purchase scheme
- Access to additional benefits platform
- Gym discounts
About the Company
- Retail Insight helps some of the world's largest retailers and consumer goods brands make better decisions through data.
- Our products process vast volumes of complex retail information, turning it into actionable insights that drive growth, profitability, and operational excellence.
- AI is becoming an integral part of how we work.
Equal Opportunity
- Retail Insight is committed to promoting equal opportunities in employment.
- All employees and any job applicants will receive equal treatment.
- We actively seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work.