Data Architecture & Engineering: Design and implement scalable data pipelines to ingest, transform, and store data from diverse sources (e.g., CRM, ERP, procurement platforms).  Develop and maintain data lakes, warehouses, and databases to support analytics and reporting.

Data Quality & Governance: Ensure data integrity, consistency, and security through automated validation, monitoring, and governance protocols.  Collaborate with compliance teams to align data practices with GDPR and other regulatory frameworks.

Data Definition, Cleaning & Preparation: Work closely with data analysts, business units, and transformation teams to understand data needs and deliver actionable solutions.
Establish data standards and ensure consistency through profiling and cleansing. Prepare structured datasets tailored for analytical use across the organisation.

Software Engineering: Support data operations by developing small-scale applications and scripts. Collaborate with analysts to prototype tools that enhance data accessibility and streamline reporting workflows.

Middleware & Dataflows Collaboration: Work with the Solution Architect to design dataflows across middleware in future tech stack proposals. Ensure integration solutions are scalable, secure, and aligned with architectural standards.

Collaboration & Support: Work closely with data analysts, business units, and transformation teams to understand data needs and deliver actionable solutions.
Provide technical support and documentation for data systems and processes.

People: Work closely with data analysts, business units, and transformation teams to understand data needs and deliver actionable solutions;

Cost/Quality/Time: Design and implement scalable data pipelines to ingest, transform, and store data from diverse sources (e.g., CRM, ERP, procurement platforms);

Social Value in Procurement: Be part of a purpose-driven organisation transforming procurement and social value;

Products and Services: Develop and maintain data lakes, warehouses, and databases to support analytics and reporting; Support data operations by developing small-scale applications and scripts; Work with the Solution Architect to design dataflows across middleware in future tech stack proposals;

General: Ensure data integrity, consistency, and security through automated validation, monitoring, and governance protocols; Prepare structured datasets tailored for analytical use across the organisation.

• Rewarding career path: Enjoy a progressive role with a competitive salary structure and bonus scheme.
• Work-life balance: Maintain a healthy work life balance with a flexible 35-hour workweek, 25+ days of annual leave (increasing after 2 years), and the option to buy and sell annual leave.
• Benefits package: A comprehensive benefits package including a competitive pension, leadership development program, team events, healthcare cash plan, rewards and benefits scheme, death-in-service benefit, cost-of-living adjustments and even a birthday day off.