- Working within the Insight Solutions group, the Insights Tech Lead is a hands-on technical leader responsible for identifying, designing and delivering innovative analytical products that improve the efficiency, scalability and quality of Reward's insight capability
- Operating at the intersection of Insight Solutions, Analytical Engineering, Data Engineering, Software Engineering and Data Product, the role rapidly develops proof-of-concept applications, automation and configurable analytical solutions that solve real business problems
- Successful solutions are embedded within the Insight team to deliver immediate value before being transitioned into long-term business platforms through collaboration with Engineering and Product teams
- The Consumer Insights Tech Lead combines strong engineering expertise with commercial understanding to accelerate innovation, reduce manual effort, standardise analytical processes and enable Reward to deliver best-in-class client insight at scale
- Identify opportunities to improve Reward's 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
- Work closely with Insight Solutions to embed successful solutions into analyst workflows and maximize business benefits
- Partners 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 Reward's analytical capability and internal tooling
- Promote engineering best practice, 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 while collaborating closely with Engineering and Data Product teams
- Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption
- Experience identifying opportunities to improve operational efficiency through technology and automation
- 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
- Experience working across multidisciplinary teams including Insight, Engineering, Product and Commercial functions
- Experience working with AI technologies to accelerate software development and business capability is highly desirable
- Experience with Docker, AWS and/or Google Cloud Platform
- Advanced SQL (Amazon Redshift, T-SQL) and data modelling
- 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)
- Experience building scalable data products and analytics solutions
- Expert Power BI development, including semantic models and Power BI Service administration
- Expert Python development for data, analytics and automation
- Experience integrating REST APIs and multiple data sources
- 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
- Strong software engineering practices (OOP, testing, Git, documentation)
- Understanding of modern analytics engineering and scalable solution architecture
- Experience working within agile product or engineering teams
- Passionate about continuous improvement, automation and building scalable solutions
- Naturally curious with a passion for emerging technology and innovation
- Collaborative and approachable, with a desire to enable others through technology
- Commercially minded with a focus on solving real business problems
- Pragmatic, delivery-focused and comfortable working with ambiguity
- Experience developing internal developer tools or self-service analytical products
- Experience with CI/CD pipelines
- Experience with modern JavaScript frameworks such as React
- Passion for evaluating emerging technologies and identifying opportunities to improve Reward's analytical capability
- Experience mentoring technical colleagues and promoting engineering best practices
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Insights Tech Lead employer: Reward
At Reward, part of the Rezolve Ai Group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a SQL Developer in the Consumer Insights team, you will benefit from hybrid working arrangements, allowing for a balanced work-life dynamic, while also having access to professional development opportunities that encourage growth and skill enhancement. Join us in the UK, where your contributions will directly impact our data management efforts and client success, making your role both meaningful and rewarding.
