Data Engineer

BREEDON GROUP PLC is a leading construction materials group operating from over 400 sites across the UK, Ireland and US.

We are growing! At Breedon we have an opportunity to join our Data & Analytics Team with an exciting plan and long-term vision. We are seeking an experienced Data Engineer, with skills in Microsoft Azure, Databricks and SQL,to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture.

We are well on our way towards being a data led organisation, we have identified the need for an individual to help accelerate the migration of data to our new Azure data platform which will enable our ambitions to become a data driven business.

We are looking for an experienced individual who can support in the implementation of the data platform strategy and architecture that aligns with business objectives and building robust data pipelines. This will include the provision of a platform for analysts, data scientists and engineers, providing them with the data and an environment from which they can fulfil their roles. By investing in our data platform, we will transform the way we work, making us more effective, efficient and profitable for the future. We are looking to exceed the requirements set out by our stakeholders.

Experience and knowledge:

• Experience of implementing and working with an Azure analytical platform including Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Delta Lake, Unity Catalog, PySpark, SQL, Python, and Azure DevOps.
• Strong foundation in data modelling and data warehousing concepts (medallion architecture, facts and dimensions).
• Experience using DevOps practices to establish standards for source control, branching strategies, pull requests, code reviews, testing, and release management.
• Familiar with CI/CD processes for data pipelines and platform components.
• Experience in technical documentation of migration processes, data mappings, data quality checks, and testing outcomes.
• Ability to work closely with business stakeholders, translating business and technical requirements into effective data transformation and modelling solutions.
• Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable)
• Experience working with semi-structured data formats such as JSON and XML (desirable)

Skills:

• Tenacious and curious nature that enables uncovering data availability and data quality constraints early in the process.
• Problem solving - the ability to identify creative solutions to overcome problems.
• Ability to impart knowledge and offer options to colleagues across the group.
• Working with multiple data sources at one time delivering solutions that enable insights into complex data sets.

• 25 days holiday plus bank holidays
• Contributory Pension Scheme
• Free on-site Parking
• Holiday Buy Scheme
• Volunteer Scheme
• Share Save Scheme
• Life Assurance
• Enhanced Maternity, Adoption & Paternity Scheme
• Health & Wellbeing Initiatives
• Discount Scheme