About the role
The Product & Engineering team develops and manages data products that drive intelligent experiences, decisions and actions across the Tesco ecosystem. We partner with business and technology teams across Stores, Finance, People, Customer, and Commercial to enable seamless building, consumption, integration and expansion of Data & AI capabilities. This hybrid role requires on‑site presence in London and Welwyn Garden City offices three days a week.
Responsibilities
* Team Leadership: Build, mentor and develop a high‑performing team of analysts, fostering a culture of growth, inclusion and technical excellence with a strong emphasis on data and advanced analytics.
* Data Product Development: Lead the design, development and optimisation of scalable, secure and high‑quality data pipelines and analytical models to support advanced analytics, machine learning and operational use cases.
* Collaboration: Work closely with cross‑functional teams, including data science, engineering, product and business stakeholders to translate business needs into robust, data‑driven solutions.
* Technical Excellence: Promote and enable adoption of technical standards and engineering effectiveness within development squads.
* Technical Experience: Demonstrate expertise in SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, pipeline construction and analytical interface development.
* AI‑Assisted Analytics: Explore opportunities to integrate AI and ML within data and analytics products.
* Data Governance: Implement and maintain data lineage, cataloguing and access controls to support compliance, discoverability and ethical data use.
* Continuous Improvement: Drive improvements in delivery speed, product quality and defect reduction, and facilitate innovation in business practices.
* Stakeholder Engagement: Communicate complex data and analytics concepts effectively to technical and non‑technical audiences, enabling informed decision making.
* Talent Development: Support recruitment, onboarding and ongoing development of team members, identifying skill gaps and leading upskilling initiatives related to software engineering best practices, AI capabilities and automation.
Qualifications
* Experience developing robust, scalable data products that are actionable.
* Expertise in Spark, Dremio, Teradata or other SQL technologies.
* Strong knowledge of business intelligence, ETL frameworks and visualisation tools such as Tableau.
* Experience with Python, GitHub and data orchestration tools (Oozie, Airflow) for data wrangling and pipeline construction.
* Good understanding of the full data lifecycle and enterprise concerns around data platforms (Governance, Quality, Security).
* Experience creating outputs for both technical and non‑technical audiences.
* Ability to manipulate, analyse and synthesise data from different sources to create customer‑led, data‑driven products and high‑impact presentations.
* Highly numerate with a university degree of 2:1 or higher in a quantitative discipline or relevant experience.
Benefits
* Annual bonus scheme up to 20% of base salary.
* Holiday starting at 25 days plus a personal day (plus bank holidays).
* Private medical insurance.
* 26 weeks maternity and adoption leave (after 1 year of service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; 6 weeks fully paid paternity leave.
* Free 24/7 virtual GP service and Employee Assistance Programme (EAP) for you and your family.
About Tesco
Our vision is to become every customer’s favourite way to shop, whether at home or on the move. We are committed to diversity, inclusion and sustainability, and we provide a fully inclusive and accessible recruitment process. We offer a range of flexible working patterns and a blended working culture that supports office and remote collaboration.
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