Introduction
This guide walks through the application task for the Data Analytics Engineer role with TAFE NSW in Location negotiable across NSW, subject to campus availability. The Data Analytics Engineer develops, troubleshoots and improves cloud-scale data pipelines and reusable analytical data solutions for TAFE NSW.
Use this checklist when planning how to apply for Data Analytics Engineer. View the official job ad while you prepare so your documents stay aligned with the current instructions.
NSW Government applications are assessed against both the submission instructions and the role requirements. Submit the requested documents in the correct format and support your claims with specific evidence.
Data Analytics Engineer role snapshot
| Role | Data Analytics Engineer |
|---|---|
| Organisation | TAFE NSW |
| Location | Location negotiable across NSW, subject to campus availability |
| Employment | Temporary full-time, 12 months |
| Salary or grade | $119,706 to $128,912 base salary; $135,869 to $146,318 package including superannuation and annual leave loading |
| Job ID | 602427 |
| Closing date | Applications close 11:55 pm Wednesday 14 October 2026 |
| Official vacancy | View the official job ad |
NSW Government application requirements
Application requirements are used to screen submissions for compliance. Follow every document, page and word limit shown below and recheck the application form before submitting.
Application requirements for Data Analytics Engineer
- Current resume
- Copies of qualifications where applicable, uploaded as a single PDF; certified copies are preferred and will be required if successful
- Response to 1 targeted question in the online application form, maximum 300 words
Essential role requirements
- Degree in a relevant discipline or equivalent skills, knowledge and experience
- Valid NSW Working with Children Check before commencing
- Australian National Criminal Record Check for the preferred applicant
- Australian citizen, Australian permanent resident, or New Zealand citizen with a current New Zealand passport
Candidate evidence for Data Analytics Engineer
Choose evidence that matches the practical work and level of responsibility. Make your own decisions, actions and results easy for the panel to assess.
| Evidence area | How to demonstrate it |
|---|---|
| Cloud-scale data engineering | A data pipeline or back-end solution you developed, including the processing technology, scale, design choices and measurable reliability or performance result. |
| Data quality and troubleshooting | How you diagnosed a complex data-quality, reliability or performance problem, isolated the root cause and verified the fix. |
| Azure Databricks and Python | A practical example of using Databricks, Python or comparable tools to transform, optimise or maintain analytical data products. |
| Stakeholder translation | How you worked with technical and non-technical users to turn business requirements into a reusable, scalable data solution. |
Example application structure for Data Analytics Engineer
- Opening: establish your relevant setting, level of responsibility and reason for applying.
- Primary evidence: use your strongest example, including the problem, your decisions and the result.
- Supporting evidence: add a different example that shows how you worked with others or managed risk.
- Closing: connect your evidence to the organisation and confirm any eligibility or work-arrangement points.
Targeted or pre-screening questions
- Provide an example of a complex data quality, reliability or performance issue you identified and resolved. How did you diagnose the root cause, engage relevant stakeholders, implement the solution, and measure the outcome?
Before you submit
Check that every requested document and response is present, within its limit and easy to match to the role. Verify names, dates and figures, then return to the official vacancy for the final portal check.
Help with your Data Analytics Engineer application
If you want support shaping your genuine evidence and document structure, request application help from Team 3Thirty.