Jobs at Primark

Support Data & Analytics transformation by eliciting and documenting business requirements, mapping processes and data flows, engaging stakeholders across functions, and enabling adoption through testing, UAT, and change activities to deliver modern data platform and reporting solutions.

Design and deliver predictive models, forecasting, segmentation, optimisation and experimentation. Prepare and analyse large datasets using Python, SQL and Databricks/Spark. Develop, evaluate and monitor ML and statistical models, support A/B testing, translate insights into commercial recommendations, and collaborate with Data Engineers and analytics stakeholders to productionise scalable solutions.

Lead design, development and productionisation of machine learning, optimisation and measurement solutions. Build scalable data science products and pipelines using Databricks, Python, SQL and Spark. Drive experimentation, causal inference and performance measurement, partner with stakeholders to deliver commercial value, and mentor data scientists while shaping the data science roadmap for retail use cases.

Lead and manage end-to-end AP, AR and payments across multiple entities, oversee finance systems (Oracle, SoftCo) and reporting, resolve queries and recover debt, maintain compliance and controls, liaise with GBS teams and stakeholders, and drive finance transformation, automation, and continuous process improvements.

Support menswear design by researching trends, assisting range development, collaborating with buying and merchandising, managing design timelines, preparing presentations, and ensuring commercial, cost-aware product decisions.

Support garment product quality and development by assessing fit, fabric and components, testing needs and risks; investigate quality issues and returns; liaise with suppliers and internal teams to resolve technical issues; monitor supplier performance and inspections; benchmark competitors; contribute to training and continuous improvement of quality standards.

Manage product quality for accessories by leading approval and risk assessment processes, monitoring returns and testing data, resolving quality issues, partnering with suppliers and buying teams, driving continuous improvement, conducting benchmarking, and delivering training and stakeholder communication.

Support operational reliability and release management for Primark's Databricks-based data platform. Monitor pipelines, triage incidents, coordinate deployments and environment readiness, maintain runbooks and dashboards, and drive automation and continuous improvement during migration from Teradata to Databricks.

Deliver actionable insights by analysing data with SQL and reporting tools, building dashboards, and communicating recommendations to commercial stakeholders to drive sales, margin, stock and operational performance.

Lead design and delivery of scalable Databricks-based data pipelines and lakehouse architectures using PySpark, SQL and dbt. Drive migration from Teradata to Databricks, ensure data quality, performance and observability, mentor engineers, establish CI/CD and best practices, and partner with analytics and business stakeholders to deliver reusable data products for reporting, analytics and AI.

Lead end-to-end delivery of high-impact commercial analytics and insights for trading, buying, supply chain and customer teams. Use SQL and BI tools to analyse data, build dashboards and reporting packs, translate findings into clear recommendations, influence senior stakeholders, mentor analysts, and drive analytics adoption and continuous improvement to deliver measurable business value.

Support and enhance global P2P processes, governance, controls, and documentation. Monitor P2P KPIs/SLAs, coordinate governance activities, act as a P2P SME for transformation and technology initiatives (Oracle, SoftCo, ZIP), drive process optimisation and automation, prepare governance reporting and training materials, and support change management and stakeholder communications.

Design, build and maintain scalable Databricks data pipelines using PySpark, SQL and dbt. Develop ETL/ELT solutions, data models and reusable datasets, ensure production reliability and data quality, support migration from Teradata to Databricks, and collaborate with analytics, data science and business stakeholders to deliver trusted data products.

Lead end-to-end delivery of Data & Analytics technology projects, managing budgets, plans, risks, vendors and cross-functional teams. Ensure governance, stakeholder reporting, benefits realisation, and delivery across cloud D&A tools and multiple delivery methodologies. Coach team members and drive quality, timelines, and financial control for complex retail data initiatives.

Lead design and governance of enterprise-scale data solutions (Databricks Lakehouse), define architecture blueprints and non-functional requirements, drive solution shaping and technical leadership across planning, vendor evaluation, delivery, and operational readiness while ensuring security, cost optimisation, and data governance.

Lead Primark's corporate website and social channels, define digital and content strategy, create integrated campaigns, manage a small digital team and agencies, advise senior stakeholders, and optimise user experience, performance and channel engagement.

Support and lead technology transformation workstreams: design, discovery, data analysis, reporting, and benefits tracking. Build stakeholder relationships across Technology and Central Functions, drive change adoption, and improve processes. Produce dashboards and insights, manage risks and milestones, and leverage AI-enabled tools and automation to enhance reporting and operational efficiency.

Manage operational ramp-up and transition of a new distribution facility into business-as-usual. Coordinate readiness, stakeholder engagement, risk mitigation, reporting, and post-launch stabilisation while supporting project governance and operational leadership.

Provide end-to-end HR administration across the employee lifecycle: onboarding/offboarding, record maintenance, absence processing in Workday, payroll/finance support, colleague engagement, reporting, and continuous improvement while handling confidential information.

Lead Primark's migration from Teradata to a Databricks lakehouse by designing and implementing scalable ETL/ELT pipelines, architecting medallion data models, ensuring governance and performance, and building and mentoring a high-performing data engineering team while collaborating with analytics, data science, and business stakeholders.