Insights Tech Lead at Reward | England, GB | Rezi

Insights Tech Lead at Reward

Insights Tech Lead

Reward · England, GB

2 weeks ago

Insights Tech Lead

Reward · England, GB

18 days ago
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About the Role

The Insights Tech Lead is a hands-on technical leader responsible for identifying, designing, and delivering innovative analytical products to enhance Reward's insight capability. This role operates at the intersection of Insight Solutions, Analytical Engineering, Data Engineering, Software Engineering, and Data Product, focusing on rapid development of proof-of-concept applications, automation, and configurable analytical solutions to address business challenges.

Responsibilities

  • Identify opportunities to improve analytical capability through automation, configurable solutions, and innovative technical products.
  • Design, build, and validate proof-of-concept applications and data products that solve business and commercial challenges.
  • Rapidly prototype new analytical capabilities using modern engineering techniques, cloud technologies, and AI tooling.
  • Collaborate with Insight Solutions to embed successful solutions into analyst workflows and maximize business benefits.
  • Partner with Engineering and Data Product teams to transition successful proof-of-concepts into scalable production solutions.
  • Champion the adoption of AI, automation, and modern engineering practices across the Insight function.
  • Reduce manual effort by developing reusable frameworks, configurable analytical products, and scalable automation.
  • Translate business requirements into robust technical solutions that improve the quality, consistency, and speed of insight delivery.
  • Ensure all technical solutions meet high standards of accuracy, maintainability, usability, and performance.
  • Evaluate emerging technologies and identify opportunities to enhance analytical capability and internal tooling.
  • Promote engineering best practices, technical documentation, and knowledge sharing across teams.
  • Act as the technical authority within Insight Solutions, providing guidance on solution architecture, AI adoption, and engineering approaches.

Requirements

  • Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering, or a similar technical discipline.
  • Proven experience developing enterprise analytical solutions, automation, and reusable technical products.
  • Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption.
  • Experience working across multidisciplinary teams including Insight, Engineering, Product, and Commercial functions.
  • Experience identifying opportunities to improve operational efficiency through technology and automation.
  • Experience working with AI technologies to accelerate software development and business capability is highly desirable.

Skills

  • Expert Python development for data, analytics, and automation
  • Advanced SQL (Amazon Redshift, T-SQL) and data modelling
  • Expert Power BI development, including semantic models and Power BI Service administration
  • Experience building scalable data products and analytics solutions
  • Strong software engineering practices (OOP, testing, Git, documentation)
  • Experience with Docker, AWS, and/or Google Cloud Platform
  • Experience integrating REST APIs and multiple data sources
  • Understanding of modern analytics engineering and scalable solution architecture
  • Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings, and commercial AI platforms (e.g. OpenAI, AWS Bedrock)
  • Knowledge of traditional machine learning techniques, including tree-based models (e.g. Random Forest, CatBoost), feature engineering techniques such as TF-IDF, and experience evaluating and deploying AI/ML solutions in commercial environments
  • Excellent problem-solving, communication, and stakeholder management skills
  • Experience developing internal developer tools or self-service analytical products (Desirable)
  • Experience with CI/CD pipelines (Desirable)
  • Experience with modern JavaScript frameworks such as React (Desirable)
  • Experience working within agile product or engineering teams (Desirable)
  • Experience mentoring technical colleagues and promoting engineering best practices (Desirable)
  • Passion for evaluating emerging technologies and identifying opportunities to improve Reward's analytical capability (Desirable)

Location

  • Hybrid

Work Type

  • Hybrid working model

Experience Level

  • Technical Leader
  • Significant experience
  • Proven experience
  • Demonstrable experience

Benefits

  • 25 days annual leave + bank holidays
  • 3 additional company holiday days off between Christmas & New Years
  • Ability to buy and sell holiday days
  • Ability to bank holiday days (tenure dependant)
  • Flexible working options
  • Pension: Hargreaves Lansdown up to 6% matched contribution
  • Generous family friendly cover
  • Private healthcare - Bupa
  • Income protection
  • Critical illness cover
  • Life insurance cover
  • Dental cover
  • Optical cover
  • Yulife app for access to employee wellbeing and discounts
  • Perks at Work, cashback/discount shopping site
  • Employee referral scheme
  • Salary sacrifice program (includes cycle to work scheme, electric car scheme, season ticket loans)
  • Company events (Christmas party, all-company event, social/hosted events)
  • Team socials

About the Company

  • Founded in 2001, Reward is an industry leader transforming customer engagement and commerce media.
  • Operates in 15 countries across Europe, Middle East, and Asia.
  • Cloud-based API platform integrates content, advertising, and commerce.
  • Platform delivers exceptional experiences for consumers, increasing engagement, retention, and satisfaction.
  • Loyalty-tech platform powers award-winning loyalty programs for brands like Visa, NatWest Group, Barclays, and First Abu Dhabi Bank.
  • Works with major retailers including McDonald’s, eBay, Deliveroo, and Amazon.
  • Commerce media platform fuses purchase insights with loyalty-tech for digital advertising and performance marketing.
  • Leverages rich data and insights to provide a comprehensive view of consumer behavior.
  • Empowers retailers to target marketing messages effectively, driving sales uplift and customer lifetime value.
  • Purpose-driven business with a mission to make everyday spending more rewarding.
  • Proudly given back over $1 billion in cashback rewards globally in the last 5 years.
  • Recognized in The Independent’s E2E Tech 100 list of fastest-growing tech scale-ups in the UK.
  • Awarded Industry Achievement Award 2023 at the Card and Payments Awards (with NatWest Group).
  • Recognized as a Great Place to Work UK (ranking #41) and on Great Place to Work UK’s Best Workplaces for Development™ List (placing #37) in 2026.