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Senior azure databricks engineer

Glasgow (Glasgow City)
Permanent
Engineer
£85,000 a year
Posted: 4h ago
Offer description

Azure Data Architect / Senior Data Engineer (Hybrid - Glasgow, 3 Days Onsite) Overview A senior technical role within a multinational consultancy, working on behalf of a major client in the energy sector. The position focuses on designing, developing, and maintaining Azure-based data platforms-particularly Delta Lake and modern analytics services-while providing architectural leadership and hands-on engineering expertise. The role operates on a hybrid model, requiring three days per week onsite in Glasgow. Key Responsibilities Develop and maintain Azure data architecture, including Delta Lake, ensuring compliance with data governance and security standards. Analyse and resolve data integration and system interoperability challenges across complex environments. Design and implement Azure data solutions using services such as Databricks, Azure SQL Database, Data Pipelines, Data Lake Store, Data Lake Analytics, Stream Analytics, and Azure Storage. Lead the design and configuration of solutions within Azure Synapse and Databricks. Provide architectural guidance and mentorship to Azure Data Engineers and project teams. Review and enhance existing data models and pipelines to improve performance, stability, and interoperability. Translate business requirements into robust data models through close collaboration with product management and SMEs. Develop and maintain PySpark notebooks and SQL scripts for data transformation and analytics. Build and optimise Synapse and Databricks pipelines for batch and streaming workloads. Manage GitHub branching strategies and oversee CI/CD pipelines using GitHub Actions. Personal Specification Strong experience with Azure Synapse, Databricks, and Delta Lake architecture. Proven ability to design scalable, cloud-native data solutions. Proficiency in PySpark, SQL, and distributed data processing. Experience mentoring engineering teams and leading architectural decisions. Strong analytical skills with the ability to assess and improve existing data designs. Excellent communication skills and ability to work with business stakeholders. Hands-on experience with GitHub and CI/CD automation.

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