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About Kagool Kagool is a global IT services and consulting company specialising in enterprise digital transformation, with robust expertise across SAP delivery, data management, cloud modernisation, analytics, AI, and managed services. We help organisations unlock more value from their ERP and data platforms through end-to-end consulting, delivery, integration, migration, and support services. Our partnerships with leading technology providers such as Microsoft, SAP, Databricks, Google, AWS, Oracle, and other strategic partners enable us to deliver scalable, secure, and innovative solutions for complex enterprise environments. Kagool serves customers across multiple regions, with a presence across three continents and several countries, supporting clients globally with reliable delivery capability and 24/7 coverage. Role Overview We are seeking a highly skilled Azure Data Engineer with strong experience in building scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on expertise in designing, developing, and optimizing data pipelines and data architectures using Azure-native tools. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure services Develop and optimize ETL/ELT processes using Azure Data Factory (ADF) and Azure Synapse Analytics Work with structured and unstructured data for ingestion, transformation, and storage Implement data solutions using Azure Data Lake, Blob Storage, and SQL Database Collaborate with data scientists, analysts, and stakeholders to support analytics use cases Perform data modeling (both relational and dimensional models) Ensure data quality, governance, and security best practices Monitor and troubleshoot data pipeline performance Implement CI/CD pipelines and automation for data workflows Required Experience (Minimum 5+ Years) 5+ years in Data Engineering / Data Warehousing / Big Data At least 3+ years of hands-on experience in Azure Data Platform Strong experience with: A .
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.