Senior Engineer (Data)

We are seeking talented a Senior Data Engineer to join our team and contribute to the development and implementation of our University Data Hub.  

What is our University Data Hub? 

The University is undertaking a strategic project to enhance its Data & Insights capability – enabling the right people to access information and insights at the right time, with the right quality. We are building a brand-new University Data Hub in the AWS cloud, replacing an old on-premises solution. The UDH will transform and integrate data from various sources, including live operating data, key data snapshots, and external datasets. It will manage structured and unstructured datasets, analyse incoming data quality to inform data governance, act as a single source of truth, and support all analytics activities. It will underpin reports and dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow. 

What will you do? 

• Develop and optimise ETL pipelines using AWS Glue, Kinesis, and Step Functions 
• Manage and enhance data lakes with S3, Athena, and Lake Formation
• Implement robust data quality processes using Glue Data Quality 
• Design event-driven architectures with EventBridge and Lambda 

 Key Responsibilities 

• Develop and maintain a state-of-the-art data infrastructure 
• Support a self-service data platform serving over 3,500 staff 
• Create real-time analytics solutions to provide operational insights 
• Build scalable data pipelines and integrations for predictive analytics 
• Provide leadership, support and technical guidance to junior team members 

Professional Growth Opportunities 

• Play a key role in the adoption of DataOps and MLOps methodologies
• Explore applications of emerging technologies in data processing
• This role is offered on a full time (36.5 hours per week) for an expected duration of 12 months. 

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