Breedon Group plc ir būvmateriālu un ražošanas uzņēmums, kas apkalpo Lielbritāniju, Īriju un Amerikas Savienotās Valstis. Tā vairāk nekā 350 darbības vietu tīkls piegādā būvmateriālus un ar tiem saistītos pakalpojumus darbuzņēmējiem, infrastruktūras projektiem un vietējām kopienām. Grupā strādā aptuveni 4900 kolēģu, un tā koncentrējas uz ilgtspējīgas ilgtermiņa vērtības radīšanu, darbinieku iesaisti un pozitīvu ietekmi uz kopienām – būtiskām tēmām cilvēkiem, kuri apsver karjeru būvmateriālu nozarē.
Principal Data Engineer - Azure & Microsoft Fabric (Hybrid UK)
Lead Breedon Group’s Azure and Microsoft Fabric data platform for construction materials operations. Build secure data products, pipelines, and AI-ready retrieval capabilities across the enterprise.
Apraksts
- Provide hands-on technical leadership across the design, delivery, and ongoing enhancement of Breedon’s enterprise data platform
- Serve as the senior data engineering authority, shaping architecture, technology choices, engineering methods, and solution quality
- Define and oversee engineering standards, reference architectures, reusable patterns, coding conventions, and delivery frameworks
- Direct technical design reviews, data modelling decisions, and architecture assurance
- Build, refine, and optimise cloud data platforms and pipelines with Microsoft Fabric, Azure, and associated technologies
- Implement practices for testing, data quality, monitoring, observability, security, and deployment
- Modernise legacy solutions, reduce technical debt, strengthen reliability, improve performance, and manage cloud costs
- Assess emerging technologies and lead technical discovery and proof-of-concept work
- Help shape the data strategy, architecture roadmap, and future technology direction
- Lead complex technical programmes while mentoring engineers, encouraging knowledge sharing, and building team capability
- Partner with Data & Analytics, Technology, and business teams to make trusted data easier to find, access, and apply to analytics, automation, and AI
Prasības
- Hands-on experience designing and implementing Azure analytical platforms with Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Delta Lake, Unity Catalog, PySpark, SQL, Python, and Azure DevOps
- Experience engaging senior stakeholders to define the strategy, objectives, and value of a central enterprise cloud data platform
- Practical use of DevOps methods covering source control, branching, pull requests, code reviews, testing, and release management
- Understanding of CI/CD for data pipelines and platform components
- Experience coaching and mentoring data engineers toward successful delivery
- Knowledge of AI-oriented data engineering, including RAG systems, vector databases, embedding pipelines, and semantic indexing
- Demonstrated ability to collaborate effectively with colleagues and stakeholders
- Ability to map processes and produce supporting documentation
- Experience creating test plans and managing issues through resolution
- Strong communication and collaboration skills across business stakeholders and Breedon Technology Services
- Advanced technical capability in designing, implementing, and maintaining high-quality services
- Ability to research and assess emerging technology developments
- Capability to analyse and troubleshoot platform issues
- Ability to develop creative solutions to complex problems
- Ability to share expertise and support the growth of team members
- Ability to support AI workflows through high-performance retrieval pipelines and collaboration with AI engineering teams
Priekšrocības
- 25 days of annual leave plus bank holidays
- Contributory pension scheme
- Free on-site parking
- Holiday purchase scheme
- Volunteer scheme
- ShareSave scheme
- Life assurance
- Enhanced maternity, adoption, and paternity leave
- Health and wellbeing initiatives
- Employee discount scheme