Are you passionate about building intelligent, scalable data ecosystems that power AI and advanced analytics? We’re looking for a Senior Data Engineer / Data Architect to lead the design, development, and optimisation of modern data platforms across Azure, AWS, and GCP.

Within this role, you will take ownership of designing and delivering robust data architectures, intelligent data pipelines, and AI-ready data assets. 

Key Responsibilities of this position will include the following:

• Designing and developing scalable cloud data architectures, primarily using Microsoft Azure (Azure Data Warehouse, Data Factory, Databricks, Power BI, Cosmos DB, Logic Apps).
• Building and optimising data pipelines, ETL/ELT processes, and automation workflows.
• Developing dashboards and analytics using Power BI and Google Analytics 4.
• Implementing and managing solutions across Google Cloud (including BigQuery) and supporting AWS-based workloads.
• Integrating data from CRM and LMS/SMS platforms including Salesforce, HubSpot, JobReady, and aXcelerate.
• Ensuring strong data governance, including data quality, metadata management, and security best practice.
• Optimising data storage, retrieval, and performance across platforms.
• Supporting AI initiatives through high-quality, reliable, well-structured data.
• Providing technical leadership and guidance to engineers and analysts.
• Partnering with stakeholders to define requirements and deliver impactful data solutions.