Data Engineer salary in Sydney

If you are applying for Data Engineer roles in Sydney, the hard part is not finding one listing. The hard part is making each application look specific enough to pass the recruiter screen and the ATS scan.

20 live listings right now.

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Career guide · salary

Live Data Engineer jobs in Sydney

20 open listings match Data Engineer in Sydney right now. The newest:

Skills employers ask for

Terms that keep coming up in the newest Data Engineer listings in Sydney, and how many listings use each.
  1. driven5 posts
  2. group3 posts
  3. technology7 posts
  4. engineering5 posts
  5. ai5 posts
  6. engineers3 posts
  7. transformation3 posts
  8. platform3 posts

Who's hiring

Employers with the most open Data Engineer listings in Sydney.
  1. Databricks3 open jobs
  2. Datacom3 open jobs
  3. Qube Research & Technologies3 open jobs
  4. Altis2 open jobs
  5. Costar2 open jobs
  6. TMGM2 open jobs
  7. Anthropic1 open job
  8. Datadog1 open job
  9. EatClub1 open job
  10. Infosys Singapore & Australia1 open job

What affects pay first in Sydney

Recruiters scan for role fit, recent proof, and keywords. For Data Engineer, your resume should show the tools you used, the data you worked with, the question or pipeline you owned, and the result. A vague analysis line does not help. A specific line with data volume, accuracy, time saved, revenue, cost, or decisions it changed works much better.

Check this before sending another application.

  • Pay range
  • Offer proof
  • Negotiation
  • Put the exact job title and adjacent titles in your summary.
  • Mirror the top skills from the job description naturally.
  • Use 3 to 5 achievement bullets that show measurable outcomes.
  • Keep formatting simple so ATS software can parse every section.

Resume keywords for Data Engineer

Do not stuff keywords. Put them where they belong: skills, project bullets, work experience, and certifications. For Data Engineer jobs in Sydney, start with these clusters.

Core skills

SQL, Python, BI tools, statistics, data modeling, pipelines, and data quality checks

Business impact

cost, revenue, time saved, accuracy, forecast error, or decisions changed

Collaboration

stakeholders, product, engineering, finance, operations, or leadership

Proof

dashboards, notebooks, models, pipelines, analysis write-ups, or labeling accuracy

A practical application plan

Compare salary bands, map your proof to the seniority level, and prepare a realistic ask before recruiter calls.
  1. Pick 10 active Data Engineer listings in Sydney and save the job descriptions.
  2. Group repeated skills and phrases. Those are your ATS keywords.
  3. Rewrite your resume summary for this exact market and role.
  4. Run the resume and JD through the JobRise ATS checker.
  5. Only apply after your resume clearly matches the must-have requirements.

More Data Engineer guides for Sydney

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Before you apply

Paste the job description into JobRise, check the ATS score, then fix the missing keywords before you send the application. One focused application beats ten generic ones.
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