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We are looking for a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Microsoft Fabric to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will play a key role in enabling data-driven decision-making across the organization through robust, high-performance data solutions on the Azure platform. Key Responsibilities: - Design and implement ETL/ELT workflows using Azure Data Factory (ADF). - Leverage Microsoft Fabric (including OneLake, Dataflows Gen2, Notebooks, Pipelines, and Lakehouse) to develop end-to-end data engineering solutions. - Build and maintain data pipelines to ingest, transform, and store data from various sources (structured and unstructured). - Optimize data processes for performance, scalability, and reliability. - Work closely with data analysts, BI developers, and stakeholders to deliver business-ready data models. - Ensure data quality, security, and governance standards are implemented and followed. - Participate in solution architecture, technical documentation, and performance tuning. - Troubleshoot and resolve data-related issues in development, QA, and production environments. Required Skills and Qualifications: - 4+ years of experience in data engineering with a solid focus on the Azure ecosystem. - Expertise in Azure Data Factory (ADF) pipelines, data flows, triggers, integration runtimes. - Hands-on experience with Microsoft Fabric, especially with Lakehouse architecture, OneLake, and Fabric Pipelines. - Have good hands-on experience in notebook development and Apache Spark. - Strong SQL skills and experience working with Azure Synapse, Databricks, or other distributed compute platforms. - Experience in working with delta lakes, parquet files, and data lake storage (ADLS Gen2). - Good understanding of data modeling, data warehousing, and ETL best practices. - Familiarity with DevOps, CI/CD pipelines, and Git integration for data solutions. - Strong problem-solving, analytical, and communication skills. - Knowledge of Azure Data Lake, Azure SQL, and Data Governance tools like Purview. - Understanding of security & access control mechanisms in Azure. - Experience working in Agile/Scrum teams .
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.