Our vision is to be a leading public university of technology recognised for our global impact. We are a dynamic and innovative university, ranked by the QS Top 50 Under 50 as Australia’s top young university, and located centrally in one of the world’s most liveable cities. With a culturally diverse campus life and extensive international exchange and research programs, UTS prepares graduates for the workplaces of today and tomorrow.
About the Unit
The Data Analytics and Insight Unit supports the implementation and drives the execution of the University's data strategy with a key focus leveraging our data assets and driving evidence based decisions. The Unit drives the overall Data, analytics and AI Program and continuously seeks to improve the usability, visibility and management of data assets and works closely with key data and systems managers across the University to achieve the University’s objectives and aspirations in relation to data management and use.
This role is part of the Data Management Services function which grows and manages the analytic information asset base. We are a small team who understands both data and the operation of the University. Using a cloud data warehouse we build and sustain data which supports analytics and reporting on student, learning and teaching and research data as well as corporate data.
About the Role
As the Senior Data Engineer, you will be designing and developing data ingestion and also “consumable” versions of information eg using ETL flows and dimensional models. You will work on multiple projects as prioritised. You will use well established techniques such as dimensional modelling and also be part of building new capabilities using graph analysis.
The Senior Data Engineer will have a strong track record in data warehousing, including design and development of dimensional models and use of SQL.
You will be also keen to work with us on the evolution of technology in the exploitation of data as an asset – working as part of the team to grow our capability and productivity.
Personally, you will be someone who works collaboratively and is also self-organised – able to deliver in a structured way without needing highly detailed specifications of what to do.
Specific technology and business knowledge needed:
- Data warehouse approaches including dimensional modelling, normalisation
- Data warehouse technology – we use Amazon RedShift but you don’t need that specifically
- ETL Tool – we use SSIS but you don’t need that specifically
Experience in a Higher education organisation will be well regarded but not essential.
For the full list of the selection criteria and role responsibilities please download the position description from the link below.
A competitive and comprehensive remuneration package will be offered. This role is classified as an SSS1 role.
This role attracts 17% superannuation in addition to the base salary.
UTS staff also benefit from a wide range of Employee Benefits include flexible work practices, child care centres, generous parental leave and salary packaging opportunities.
This position is full-time and appointment will be made on a continuing basis. Hybrid working arrangement is currently implemented in the team.
How To Apply
In order to obtain:
- a copy of the Position Description;
- information on remuneration, benefits, terms and conditions; and
- full details of the application process,
please click the Apply link to be taken to the UTS website.