Opportunity Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Data Engineer

Infosys Singapore & Australia Open · verified Oct 24, 2026
On-site Melbourne Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Infosys Singapore & Australia. Melbourne · full-time · no salary stated · we estimate A$126,337–A$130,348 across Australia.

Estimated pay

Infosys Singapore & Australia has not published a salary for this role. The figure below is our estimate, not theirs.

A$126,337 – A$130,348
What the middle half of mid-level data engineering roles in Australia paid, among postings that did state a salary.
Worked out from 6 postings that stated pay, median A$130,348. Last updated Oct 23, 2026.
RoleData Engineering
SeniorityMid-level
LocationMelbourne
WorkplaceOn-site
EmploymentFull-time
PostedAug 19, 2026 · 2mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune AWS data pipelines, including the ETL and ELT processes that move and reshape data
  • Create data models, warehouses and lakehouse structures, then keep them working
  • Use complex SQL and Python or Java to transform data and handle large datasets in Databricks
  • Automate deployments with CI/CD, and support machine-learning workflows with data science teams
  • Track data quality, reliability and performance while supporting BI reports and data governance

What you bring

  • Strong AWS data engineering skills, including building and maintaining scalable data platforms
  • Advanced SQL skills and experience with Python or Java for data processing
  • Hands-on experience with Databricks, CI/CD practices and reporting through Power BI, Tableau or another BI platform
  • Knowledge of MLOps concepts and machine-learning workflows

Who this fits

This Melbourne-based role is onsite and suits a mid-level data engineer who can work across analytics and machine-learning data needs. The listing identifies the position as fixed-term contract or permanent.

From the employer

Infosys Consulting is the worldwide management and IT consultancy unit of the Infosys Group (NYSE: INFY), a global advisor to leading companies for strategy, process engineering and technology-enabled transformation programs. We partner with clients to design and implement customized solutions to address their complex business challenges, and to help them in a post-modern ERP world. By combining innovative and human-centric approaches with the latest technological advances, we enable organizations to reimagine their future and create sustainable and lasting business value. A pioneer in breaking down the barriers between strategy and execution, Infosys Consulting delivers superior business value to its clients by advising them on strategy and process optimisation as well as IT-enabled transformation. To find out how we go beyond the expected to deliver the exceptional, visit us at www.infosysconsultinginsights.com.

Requirements

Job Summary

We are seeking a highly skilled Data Engineer with strong expertise in the AWS ecosystem to design, develop, and maintain scalable data platforms and pipelines. The ideal candidate will have advanced SQL capabilities, experience with modern data engineering practices, Python, CI/CD implementation, Databricks, MLOps concepts, and reporting tools such as Power BI or Tableau.

This role requires collaboration with data scientists, analysts, software engineers, and business stakeholders to deliver robust data solutions that support analytics, reporting, and machine learning initiatives.

Key Responsibilities

  • Design, build, and optimize scalable data pipelines and ETL/ELT processes using AWS services.
  • Develop and maintain data models, data warehouses, and lakehouse architectures.
  • Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.
  • Build and automate deployment processes using CI/CD best practices, preferably with GitHub and GitHub Actions.
  • Develop data processing solutions using Python (preferred) or Java.
  • Work with Databricks to process large-scale datasets and support advanced analytics workloads.
  • Collaborate with Data Science teams to support machine learning workflows and MLOps practices.
  • Monitor, maintain, and improve data quality, reliability, and performance.
  • Create and support reporting solutions using Power BI, Tableau, or other BI platforms.
  • Implement data governance, security, and compliance standards across data platforms.
  • Participate in architecture discussions and provide recommendations for scalable cloud-based data solutions.


Role: Data Engineer
Location: Melbourne

Hiring Module: FTC / Permanent

Benefits

We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.