Data Engineer

Infosys; City of Melbourne; On-site; AUD 110,000 - 140,000; Full time

Job summary

Infosys Consulting in Melbourne seeks a Data Engineer to design, develop, and maintain scalable data platforms and pipelines using the AWS ecosystem. You will work with SQL, Python, Databricks, and BI tools to deliver analytics-ready data and ML workflows.

The role collaborates with data scientists, analysts, and software engineers to enable robust data solutions, governance, and performance across enterprise data architectures.

Qualifications

• Strong SQL and data pipeline design experience.
• Cloud-based data platforms and data modeling expertise.
• Collaborating with data scientists, analysts and BI teams.

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.

Skills

SQL proficiency

Data modeling

Collaboration

Tools

AWS

Databricks

Python

Power BI

Tableau

GitHub

GitHub Actions

CI/CD

Job description

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.

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

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.