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About The Opportunity A fast-scaling technology services firm operating in the Enterprise Cloud & Data Engineering space, we build scalable, secure, and high-performance data platforms for global clientsleveraging Azure ecosystem tools to transform raw data into real-time business intelligence. Our engineers architect cloud-native data pipelines, optimize storage & compute, and enable analytics-driven decision-making across industriesfrom fintech to healthcare to retail. Design and deploy scalable Azure data pipelines using Data Factory, Synapse Analytics, and Databricks for ingestion, transformation, and orchestration. Automate ETL/ELT workflows with ADF, PowerShell, and Python; ensure data lineage, validation, and quality checks. Optimize Azure storage & compute costs by tuning pipelines, partitioning data, and implementing caching strategies. Collaborate with data scientists and analysts to deliver curated datasets for ML and BI reporting. Role & Responsibilities Design and deploy scalable Azure data pipelines using Data Factory, Synapse Analytics, and Databricks for ingestion, transformation, and orchestration. Develop and maintain data models (star/snowflake schemas) in Azure SQL DB, Azure Synapse, or Azure Data Lake Gen2. Automate ETL/ELT workflows with ADF, PowerShell, and Python; ensure data lineage, validation, and quality checks. Optimize Azure storage & compute costs by tuning pipelines, partitioning data, and implementing caching strategies. Collaborate with data scientists and analysts to deliver curated datasets for ML and BI reporting. Implement CI/CD for data pipelines using Azure DevOps, enforce Infrastructure-as-Code (IaC) via ARM/Bicep/Terraform. Skills & Qualifications Must-Have Azure Data Factory Azure Synapse Analytics Azure Data Lake Gen2 SQL Python ETL/ELT CI/CD (Azure DevOps) ARM/Bicep/Terraform Preferred Databricks Power BI Spark SQL Benefits & Culture Highlights On-site collaborative workspace with modern tech infrastructure and flexible work hours. Direct exposure to enterprise-grade Azure projects with Fortune 500 clients. Structured upskilling programs with Microsoft-certification sponsorship & mentorship. .
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.