Data Engineer
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Before you apply
LocationMelbourne, Victoria, Australia
Typefull-time
DepartmentFSI- Banking and Financial
Company size10,000+ people
PostedAug 19, 2026 · 2mo ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Aug 19, 202680% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Design, build, and optimize scalable data pipelines and ETL/ELT processes using AWS services
Advanced SQL capabilities for data extraction, transformation, and analysis
Experience with Python for data processing solutions
Experience with Databricks for processing large-scale datasets and supporting advanced analytics workloads
CI/CD implementation using GitHub and GitHub Actions
Experience with reporting tools such as Power BI or Tableau
MLOps concepts and support for machine learning workflows
Collaboration with data scientists, analysts, software engineers, and business stakeholders
Experience with Java (alternative to Python)
Skills
AWS
Python
SQL
Databricks
Power BI
Tableau
Java
GitHub
GitHub Actions
CI/CD
About the company
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
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Design, build, and optimize scalable data pipelines and ETL/ELT processes using AWS services.
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Develop and maintain data models, data warehouses, and lakehouse architectures.
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Write, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.
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Build and automate deployment processes using CI/CD best practices, preferably with GitHub and GitHub Actions.
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Develop data processing solutions using Python (preferred) or Java.
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Work with Databricks to process large-scale datasets and support advanced analytics workloads.
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Collaborate with Data Science teams to support machine learning workflows and MLOps practices.
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Monitor, maintain, and improve data quality, reliability, and performance.
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Create and support reporting solutions using Power BI, Tableau, or other BI platforms.
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Implement data governance, security, and compliance standards across data platforms.
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Participate in architecture discussions and provide recommendations for scalable cloud-based data solutions.
Role: Data EngineerLocation: 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.