The University of Bath seeks a Senior Data Engineer to develop and optimize data infrastructure in the AWS cloud. The role involves building scalable data pipelines, supporting data governance, and enabling analytics capabilities for over 3,500 staff. It offers opportunities to lead technical initiatives and explore emerging data processing technologies.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
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
- 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
- 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.
- a very generous employer contributory pension scheme
- generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
- we are a family-friendly University and with an increasingly agile workforce, are open to flexible working arrangements
- an excellent reward package that recognises the talents of our diverse workforce
- a wide range of personal and professional development opportunities
- a number of support options available for new and existing staff to help with the cost of some immigration expenses which you may be eligible for: Relocation allowance, Visa Reimbursement, Interest-Free Loan.
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.
We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff.
Find out from our staff what makes the University of Bath a great place to work. Follow us @UniofBath and @UniofBathJobs on Twitter for more information.
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Further Details
- Job Description & Person Specification
Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.
Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
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