An exciting opportunity exists for an experienced Data Engineering Senior Specialist to join a high-performing data team working on large-scale enterprise initiatives within a modern Azure environment. This role offers the chance to design and optimise end-to-end data solutions that directly support strategic decision-making and business performance. Key Responsibilities: Lead the design, development, and optimisation of scalable data pipelines using Azure Databricks (data processing and transformation platform) and Azure Synapse Analytics Build and enhance ETL workflows using Azure Logic Apps (workflow automation and integration tool) and Azure Data Factory Develop and maintain production-grade code in Python , Spark SQL , and PySpark Manage data ingestion, transformation, and storage within Azure Data Lake Collaborate with engineers, analysts, and business stakeholders to deliver accurate, well-governed datasets Contribute to enterprise data architecture, governance, and optimisation best practices Skills & Experience Required: Strong proficiency in SQL and Python Proven hands-on experience with Azure Databricks , Azure Synapse Analytics , and Azure Logic Apps Solid understanding of Azure cloud data services , including Data Factory , Data Lake , and related integration components Experience building and deploying scalable data pipelines using Spark SQL or PySpark Strong communication skills and a proactive, dependable attitude Why Apply: Join a collaborative and forward-thinking data team Work with the latest Azure data technologies and engineering practices Contribute to enterprise-wide transformation projects that drive business insight and innovation
