JOB OVERVIEW:

As a Data Engineer within the Group IT team, you will have a breadth and depth of experience and technical ability to support the continued development and evolution of our data and analytics capabilities within a fast-paced food manufacturing environment. Previous experience delivering data engineering solutions within a manufacturing industry setting would be beneficial, enabling you to understand the complexities of production, quality supply chain and operational data.C&D Foods has grown through acquisition and as such we have a varied data landscape and architecture. This role will be responsible for designing, building, and maintaining robust data solutions that are fit for purpose today but also with an eye to our future needs and ambitions for growth.

The purpose of this role will be to transform operational and business data into trusted, high-quality datasets, dashboards, semantic models, and automated workflows that improve performance, visibility, and decision-making across the organisation. A core part of the role is dedicated to data preparation and cleansing, including profiling, standardisation, enrichment, API-based integration support, and ongoing data quality monitoring.

The ideal candidate will possess strong SQL and data warehousing expertise, coupled with hands-on experience across modern database, data engineering, data analysis, reporting, semantic modelling, BI and workflow automation platforms. This includes Microsoft technologies such as Power BI, Power Query, DAX and Power Automate, while also being adaptable to broader enterprise platforms used across cloud, on-premise and hybrid data environments.

PERSONAL COMPETENCIES AND QUALIFICATIONS:

Personal Attributes

• Strong analytical and problem-solving skills.
• Excellent attention to detail and commitment to data accuracy.
• Ability to communicate technical concepts effectively to non-technical stakeholders.
• Strong organisational and prioritisation skills.
• Self-motivated with a continuous improvement mindset.
• Ability to work independently and collaboratively across multiple departments.
• Ability to work with ambiguity and competing priorities.
• Demonstrable stakeholder management, communications and interpersonal skills.
• Ability to quickly learn new technologies and new products.
• Excellent written and verbal communication skills, strong presentation skills.
• Passion for technology and solving for business needs.

Qualifications

• Degree in Computer Science, Information Technology, Data Analytics, Software Engineering, or a related discipline.
• Relevant Microsoft certifications in Power BI, Azure Data Engineering, Microsoft Fabric, or SQL technologies would be advantageous.