Salary: £60,000 - 70,000 per year Requirements: To be successful in this role, you should have hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Additionally, you should have reporting experience with Power BI and a strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform, including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks, is essential. Responsibilities: In this hands-on role, I will count on you to work across the full data stack, collaborating with architects, analysts, and stakeholders. Your key tasks will include: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimized for performance and reusability. Technologies: Azure Business Intelligence Cloud Data Warehouse Databricks ETL Support Power BI Python PySpark SQL More: I am a forward-thinking organization that is modernizing its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and a cloud-first architecture, I am looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. Some additional details about the position include a salary of up to £70,000, a hybrid working model with two days per week in Portsmouth, a pension scheme, and private healthcare options, along with opportunities for training and development. This is just a brief overview, and I'm excited to discuss the full details with you when you apply with your CV. last updated 5 week of 2026