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Job Requirements Mandatory Skills Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 5+ years work experience). At least 3+ years of consulting or client service delivery experience on Azure Microsoft data engineering. At least 1+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Synapse/Azure Databricks, Microsoft Fabric Hands-on experience implementing data ingestion, ETL and data processing using Azure services: Fabric, onelake, ADLS, Azure Data Factory, Azure Functions, services in Microsoft Fabric etc. Minimum of 1+ years of hands-on experience in Azure and Big Data technologies such as Fabric, databricks, Python, SQL, ADLS/Blob, pyspark/SparkSQL. Minimum of 1+ years of RDBMS experience Experience in using Big Data File Formats and compression techniques. Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, etc. Primary Roles and Responsibilities An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. Preferred Skills Experience developing and deploying ETL solutions on Azure cloud using ADF, Notebooks, Synapse analytics, Azure functions and other services. Experience developing and deploying ETL solutions on Azure cloud using services in Microsoft Fabric . Building medallion architecture using Fabric. Metadata driven ingestion frameworks, Building Data quality frameworks, Data transformation(SCD type1, SCD type 2) using Fabric notebooks or databricks Added advantage to have exposure to Microsoft Co-pilot, Gen AI fundamentals and industry supporting use cases. Microsoft certifications role based. (DP600, DP203,DP900, AI102, AI900.) Knowledge of Microsoft Powerbi, reports/dashboards and generate insights for business users. Knowledge of Azure RBAC and IAM. Understanding access controls and security on Azure Cloud. Inclined with Microsoft vision and road map around latest tools and technologies in market. .
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.