Data Engineer

Breedon Group
Bakewell, United Kingdom
Today
£40,000 – £60,000 pa

Salary

£40,000 – £60,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

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

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 and SQL,to take the contribute to the design, build and deployment of our Azure data platform in line with our enterprise architecture.


Key Responsibilities

As we set out on the journey of moving towards a data led organisation, we have identified the need for an individual to transform our data management capabilities, implementing and maintaining a 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 design and 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.


Skills, Knowledge & Expertise


Experience and knowledge:

  • Proven experience in data engineering and cloud data platform development, with a strong focus on Microsoft Azure
  • Demonstrated track record of designing, building, and maintaining end-to-end data pipelines using Azure-native technologies, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics and/or Databricks.
  • Strong foundation in data modelling and data warehousing concepts (star/snowflake schemas, SCD2, Dimensions/Facts)
  • Proficient in SQL and Python, with hands-on experience using PySpark, Spark SQL, and/or Pandas.
  • 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
  • Exposure to DevOps and CI/CD practices including source control, automated deployments and environment promotion. (desirable)
  • Working knowledge of APIs (REST/SOAP) and common integration patterns (desirable)
  • Working Knowledge of other Azure Integration tools like Azure Functions, Azure Logic Apps, API Management, Service Bus, Event Grid (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

Personal Attributes:

  • Ability to work to tight deadlines
  • Ability to think and act purposefully and methodically
  • A partnership approach to working with a variety of stakeholders
  • Ability to keep it simple and to make it happen
  • Thirst for continuous improvement
  • Strong communication and engagement – ability to communicate calmly under pressure
  • Positive and open outlook

Job Benefits
  • 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

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