Senior Data Engineer – Blackburn

Position Overview

At Pets Choice we are on a mission to enhance the joy of Pet ownership and to be the number one Pet products manufacturer in the UK! We are passionate about harnessing the power of data to drive innovation, opimise and automate processes and empower our teams to make data driven decisions. As we continue to grow, we are looking for a highly motivated Senior Data Engineer to join our team and help us shape the future of data infrastructure at Pets Choice!

Location

Blackburn, Hybrid

Company Overview

Pets Choice is a leading pet food manufacturer whose industry knowledge spans over 135 years. Based in Blackburn, Lancashire, the Pets Choice portfolio of brands offers a variety of products for pets and wild animals under its brands; Webbox, TastyBone, Meatiful, Spike’s World, Goodwyns, Davies, Oceanic and Vitakraft. Each brand offers a unique insight into animals from dogs to ducks and produces high-quality products that cater to a wide variety of consumer needs. As a trusted partner, Pets Choice provide private label goods including extruded food, wet food and retorted trays, and baked fresh meat treats. The business also offers additional services such as packaging design, fulfilment and logistics. With a broad range of capabilities and distribution channels worldwide, Pets Choice are proud to be a major supplier to the UK grocery, independents and pet speciality sectors.

Role:

• As the Senior Data Engineer you will be responsible for designing, building and maintaining scalable, high-performance data infrastructure and pipelines that enable us to manage and analyse vast amounts of data effectively.
• Build and maintain cloud data warehouse/data infrastructure.
• Implement ETL procedures.
• Automate and optimise processes.
• Understand and connect data sources and present data in an easy to read format to stakeholders.
• Troubleshoot issues with data integrity and report these findings across all areas of the business.
• Applying advanced level calculations on the data set.
• Train users and stakeholders on how to use the information.
• Ensure data security, privacy, and compliance with industry standards.
• Stay up to date with the latest technologies, trends and best practices in data engineering.

Key attributes and skills:

• Strong knowledge of Python and SQL is essential
• Understanding and experience of building a Cloud Data Warehouse
• Experience of cloud platforms such as Azure
• Use of ETL tools
• Data modelling
• Synapse
• Databricks
• Power BI
• Experience gained from a manufacturing background, ideally FMCG
• The ability to build strong relationships and to engage, negotiate, influence and collaborate across the organisation.
• Ability to explain data and technical concepts to non-technical teams