T-Shaped Data Engineer

Are you ready tochart your own career path? With our refreshed strategy, we’re building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success.

This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes.

At a glance:

Location: Cirencester Office

Workplace Type: Hybrid

Employment Type: Permanent

Seniority: Associate

Reporting to a Product Lead within the Data & Insights (D&I) team, the role holder will design, build, test and maintain trusted data products on the enterprise Data Platform.

This role has been specifically created for recent graduates and individuals at the beginning of their professional careers who are looking to develop expertise in modern data, analytics and AI technologies.

The role is T-shaped, combining broad capability across business analysis, data engineering, visualisation, quality assurance and AI-enabled delivery, with the opportunity to develop deeper expertise in one or more areas over time.

Working within a cross-functional product team, the role holder will collaborate with stakeholders to understand business challenges, translate requirements into technical solutions, and deliver reliable and trusted data products that support business decision making.

The role includes structured development opportunities, mentoring, formal and informal learning, and hands-on experience across multiple data disciplines. Successful candidates will develop practical experience in SQL, data visualisation, business analysis, software testing, Generative AI and modern AI-powered data products, building both broad and specialist skills within the Data & Insights function.

• Engage with business stakeholders to understand objectives, challenges and opportunities from a business and data perspective.
• Support workshops, meetings and requirement gathering activities to help define business needs and desired outcomes.
• Translate business requirements into clear user stories, specifications and development tasks.
• Develop, maintain and optimise SQL-based data solutions, transformations and models.
• Design and build dashboards, reports and visualisations using approved analytics and reporting tools.
• Execute testing and quality assurance activities, including data validation, reconciliation and defect investigation.
• Utilise AI-assisted development tools to improve productivity, accelerate delivery and enhance the quality of data products.
• Support the implementation and adoption of modern AI-powered products and capabilities across Data & Insights.
• Contribute to the identification of opportunities where AI can improve user experience, operational efficiency and decision making.
• Collaborate with colleagues across Data & Insights and the wider business to deliver trusted data products and positive stakeholder outcomes.

• Recently completed, or expected to complete, a degree in Data Science, Computer Science, Mathematics, Statistics, Business Analytics or a related discipline.
• Typically suited to candidates with limited professional experience who are looking to begin a career within Data & Insights.
• Demonstrable interest in data, analytics, artificial intelligence and technology through academic study, university projects, placements, internships, hackathons, student societies or personal learning initiatives.
• Experience of SQL and relational database concepts.
• Use of data visualisation principles and tools such as Tableau, Power BI or similar technologies.
• Basic understanding of business analysis techniques, including requirements gathering and problem definition.
• Understanding of core data concepts, including data quality, data modelling and testing principles.
• Use of programming languages such as Python, R or equivalent through academic study or independent learning.
• Use of Generative AI, Large Language Models (LLMs), intelligent agents, copilots and emerging AI technologies.
• Understanding of how AI can be used to support analytics, automation, software development and business decision making.
• Use of modern AI-powered products such as conversational analytics, AI assistants, automated insight generation and intelligent workflow solutions.
• Enthusiasm for learning new technologies, platforms and ways of…