Senior Data Engineer

As a Senior Data Engineer, you will play a key role in building, optimising, and maintaining cloud-based data solutions. Responsibilities include:

• Developing and maintaining end-to-end data pipelines using Azure services such as Data Factory, Databricks, Synapse, and Data Lake.
• Designing and optimising data models, warehouses, and lakehouse architectures to support analytics and reporting requirements.
• Ensuring data governance, security, and compliance across cloud platforms, implementing access controls, encryption, and monitoring.
• Monitoring data processes, identifying performance bottlenecks, and delivering improvements to ensure reliable and accurate data availability.
• Mentoring junior engineers and sharing knowledge through documentation, workshops, and code reviews.

• Strong experience with Azure Databricks (Unity Catalog, DLT, cluster management) and other Azure services (Data Factory, Synapse, Data Lake Storage, Stream Analytics, Event Hubs).
• Advanced SQL knowledge with experience optimising relational databases and writing efficient queries (T-SQL).
• Strong understanding of data engineering principles, distributed computing, and cloud-native design patterns.
• Previous managerial/mentoring experience and/or operating at a senior/Lead level
• Excellent communication and problem-solving skills, with the ability to collaborate across teams.