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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.