Senior Data Engineer

City Campus

RMIT University

RMIT is an international university of technology and design and Australia's largest tertiary institution.

View all jobs at RMIT University

Apply now Apply later

Overview:

  • Full-time​, ​Fixed Term position​  - 12 Months
  • Salary Level HEW 8 + 17% superannuation.  
  • Based at the ​Melbourne CBD​ campus, ​and hybrid ways of working​ 

About You 

 
The Senior Data Engineer will have a primary focus on the preparation, maintenance and operation of pipelines that deliver large, complex datasets, that form the basis of master data management (MDM), analysis, dashboards, statistical analysis & modelling and data quality analysis. They will also deliver: standards and practices for data architecture and engineering; data system design, development and operation; conceptual, logical and physical data modelling; MDM models, integrations, user interfaces, workflows, etc.

The Senior Data Engineer will operate in a squad working with Data Engineers and others, supporting the team in delivering data driven solutions to a variety of communities across the University. The Senior Data Engineer will also be a key member of a guild focussed on developing Data Architecture and Engineering processes and standards for the Data & Analytics team and other analytics teams.

To be successful in this position, you’ll have as a minimum:  

  • Proven experience (3+ years) working with multiple data sets and distributed computing tools.
  • Demonstrated experience in the design, delivery and operation of data sets for education institutions.
  • Experience with agile (data) development and operations (DataOps) will be highly regarded.
  • Experience with cloud approaches and capabilities will be highly regarded.
  • Experience with Master Data Management (MDM) approaches and capabilities will be highly regarded.
  • Ability to design conceptual, logical and physical data models will be highly regarded.
  • Experience with Informatica, Snowflake, dbt, BitBucket and SageMaker will be highly regarded.
  • Extensive experience (5+ years) of data transformation languages such as SQL and Python.
  • Strong analytic capability, with the ability to integrate team efforts to achieve goals and overall program activities into the larger organisation.
  • Understanding of data analytics and data science practice particularly in sampling, experimentation, advanced statistical analysis, triangulation and database design – ensuring engineering deliverables are effective for subsequent use.
  • Strong communication and interactive skills – oral, written, visual – including for triaging conflict, navigating ideation barriers, mitigating risk, fostering thought diversity and liaising / negotiating with a range of people to achieve agreed outcomes.

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. 

About the ​Portfolio​ 

Office of the Chief Data & Analytics Officer supports and enables RMIT’s business strategy by leading and driving the data and analytics agenda for the enterprise. This involves being accountable and responsible for:

  • Developing and implementing RMIT’s data and analytics strategy and ensuring ongoing alignment with university.
  • Defining requirements and standards for data and analytics technologies to be delivered by Information Technology.
  • Coordinating and governing data management activities for analytics and reporting.
  • Developing and coordinating advanced analytics capabilities to resolve key university challenges.

To Apply  

Please submit your CV and covering letter addressing ​your suitability​ for this position by clicking on the ‘Apply’ link below.  

For further information about this position, please see Position Description below or contact me on saratha.sr@rmit.edu.au

We will be running a rolling recruitment process, so please do not wait until the closing date to apply. 

Position Description - Senior Data Engineer, Data and Analytics

Applications Close:

16 Dec 2024 11.59 pm

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. 

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers.

We are a Circle Back Initiative Employer – we commit to respond to every applicant. 

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: Agile Architecture Bitbucket Data Analytics Data management DataOps Data quality dbt Engineering Informatica Pipelines Python SageMaker Snowflake SQL Statistics

More jobs like this