Data Engineer

Data Engineer

Employment Type: Temporary Fixed Term for 24 months, Full Time and Part Time Options (until Feb 2027)
Position Classification: Health Manager Level 2
Remuneration: $109,857.00 - $129,624.00 per annum, plus superannuation and 17.5% leave loading
Hours Per Week: 38 (or part time hours available)
Location: 1 Reserve Road, St Leonards, Sydney
Requisition ID: REQ547871

We are looking for high performing Data Engineers to join the Data Engineering Team within the Cancer Services & Information Division of the Cancer Institute NSW. There are two full time equivalent opportunities on offer to:

• Be part of an organisation that makes a difference in cancer control in NSW
• Be a main contributor to the Data Engineering program of work and ensure that the Institute has the data it requires to deliver its priorities in the NSW Cancer Plan 
• Be part of a dynamic team of data engineers and analysts and work closely with epidemiologists, statisticians and data scientists to develop an efficient, automated flow of data and information fit for research purposes and reporting
• Aboriginal and Torres Strait Islander peoples are encouraged to apply

Where you’ll be working

The Cancer Institute NSW is the NSW Government’s cancer control agency, established to lessen the impact of cancer across the state.

Working at the Cancer Institute NSW means joining a team of committed and dedicated staff who are proud to be a part of the Institute’s purpose of overseeing and accelerating the effectiveness of cancer control in NSW.

The Cancer Institute is a collaborative working environment that encourages diversity and inclusion in how we work and the way we work together. Aboriginal and Torres Strait Islander peoples are strongly encouraged to apply. Greater consideration will be given to suitable applicants, in order to improve access to employment and career opportunities (GSE Rule 26).

What you’ll be doing

The Data Engineer will work in a small team which is responsible for the development, implementation and maintenance of the data and pipeline architecture for the NSW Cancer Institute.

The role will be responsible for bringing together and handling data from a wide range of source databases and systems into a consolidated environment to drive the reporting and analytics functionality of the Institute.

You will be a keen team player that thrives in a collaborative and evolving landscape to support the delivery of high-quality cancer related data and information to diverse stakeholders.

You will be someone who wants to use their cutting-edge skills to help shape the innovation and use of technology in an emerging team wanting to expand their machine learning and artificial intelligence abilities.

Essential to the role will be your ability to work with both internal and external stakeholders to ensure datasets meet reporting and research initiatives and stakeholder needs.

Remuneration/Benefits 

In addition to base salary:

• 11.5% superannuation
• 4 weeks annual leave (plus 17.5% leave loading)
• 10 days sick leave
• 40 hours per week which include accrual of monthly Allocated Day Off (ADO) x 12 per year.

Access to:

• Generous Flexible Working practices
• Fitness Passport: a membership card for NSW government employees that gives you and your family unlimited access to 400+ gyms and other facilities at one low price.
• Novated car leasing arrangement
• Salary sacrificing to superannuation.

For your application to be considered

To submit your application, please provide:

• Your resume (maximum five pages)
• A covering letter addressing the Essential Requirements, as outlined in the Role Description
• Indicate whether you are seeking full-time or part-time work, and if part-time, specify the number of hours you are available per week
• A response to the Pre-screening questions, as outlined below.

Essential requirements

• Tertiary qualifications in health information management, statistics, data science, informatics or a related discipline, and demonstrated relevant equivalent professional experience and training.
• Strong working knowledge of analysis techniques and programming tools such as R, SQL, and Python with demonstrated experience using these tools in the delivery of data and analytical services including data ingestion, transformation, storage and reporting.
• Demonstrated ability to identify, design, and implement internal process improvements including automating manual processes, optimising data delivery, and re-designing infrastructure for greater scalability and loading of data from a wide variety of data sources.
• Experience in visualisation languages and tools such as R Shiny, PowerBI, Tableau, or similar programming applications.
• Demonstrated ability to engage and work collaboratively with key business stakeholders, including understanding and refining requirements and effective presentation and translation of results to nontechnical stakeholders.
• Knowledge of health-related data collections and systems, the strengths and weaknesses of these datasets and a good understanding of the NSW and Australian Health Systems will be highly preferred.

If successful for interview candidates must bring original copies of essential qualifications to be sighted by the panel, and one copy to provide to panel.

Pre-screening questions

1. When preparing datasets for analysis, data engineers often rely on various tools and packages for cleaning and wrangling data. What are your preferred tools, libraries, or packages for these tasks (e.g., SQL, Pandas, dplyr, etc.)?

In your response please include:

• An example from your experience where you've used these tools for a specific project or task.
• The reasons you prefer these tools or libraries (e.g., advantages, limitations).
• Whether you've explored any new tools, libraries, or packages recently for these types of tasks.

2. Describe a specific instance where you encountered a data quality issue during your work. In your response, please include:

• What the data quality issue was (e.g., missing values, inconsistencies, incorrect data types, duplicate entries, etc.).
• How you identified the issue and the steps you took to resolve it.
• Any measures you implemented afterward to ensure that similar data quality problems would not occur in the future.

Interested?

For more information:

1. Click here for the Role Description
2. Find out more about applying for this position

For more information about the Cancer Institute NSW please visit www.cancer.nsw.gov.au. For role related queries or questions contact Joshua Herden at Joshua.herden@health.nsw.gov.au

Applications Close: Wednesday, 12 February at 11:59PM

All Cancer Institute roles are based at St Leonards, Sydney, and candidates are required to be Sydney based.

The CORE+4 Values define what is important to the Cancer Institute NSW and our employees.
Our values are: Collaboration, Openness, Respect, Empowerment, Strategic, Supportive, Innovative and Flexible.

The Cancer Institute NSW is unable to offer salary packaging. Salaries will be negotiated commensurate to experience and qualifications of the role.

The Cancer Institute NSW supports flexible working practices for all employees and welcomes applications from Aboriginal and Torres Strait Islander people, people from diverse cultural backgrounds and people with disabilities. Stepping Up aims to assist Aboriginal job applicants by providing information about applying for roles in NSW Health. For more information please visit www.steppingup.health.nsw.gov.au.

Please indicate if you have any accessibility requirements in your application or speak with the contact person should you be called for an interview. We provide reasonable adjustment for people with a disability during the recruitment process and during their employment.

To be eligible for permanent appointment to a position in NSW Health, you must have Australian citizenship or permanent Australian residency.

To submit your application please visit https://jobs.health.nsw.gov.au/cinsw