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About the Role: We are looking for a skilled and motivated Microsoft Fabric Engineer with 5+ years of experience in data engineering, cloud analytics, and modern data platform development. The ideal candidate should have hands-on experience with Microsoft Fabric, Azure data services, ETL/ELT development, and enterprise analytics solutions. The candidate will be responsible for developing, implementing, and supporting scalable data engineering and analytics solutions while collaborating with cross-functional teams to deliver business-driven insights and cloud-based data platforms. Key Responsibilities - Develop and maintain data pipelines and ETL/ELT workflows using Microsoft Fabric and Azure services. - Build and support Lakehouse, Data Warehouse, and analytics solutions within Microsoft Fabric. - Work with business analysts, architects, and stakeholders to understand data and reporting requirements. - Implement data ingestion, transformation, and orchestration processes for structured and unstructured data sources. - Develop scalable and optimized data models for analytics and reporting. - Support Power BI reporting and dashboard integration with Microsoft Fabric. - Monitor and optimize data workflows, pipeline performance, and system reliability. - Collaborate with DevOps teams for deployment automation and CI/CD implementation. - Ensure data quality, governance, security, and compliance standards are maintained. - Troubleshoot and resolve data integration and platform-related issues. - Prepare technical documentation, mapping documents, and operational procedures. - Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Roles And Skills & Experience - 5+ years of experience in Data Engineering, BI Development, or Cloud Data Platforms. - Hands-on experience with Microsoft Fabric and Azure data ecosystem. Strong Experience With - Microsoft Fabric - OneLake - Fabric Data Factory - Fabric Data Warehouse - Fabric Data Engineering - Power BI - Lakehouse Architecture Experience With Azure Services Such As - Azure Data Factory (ADF) - Azure Synapse Analytics - Azure SQL - Azure Storage - Azure DevOps - Strong knowledge of SQL and data transformation techniques. - Experience with Python, Spark, or PySpark is preferred. - Understanding of ETL/ELT concepts and data integration frameworks. - Valuable understanding of data warehousing and dimensional modeling concepts. - Experience in performance tuning and optimization of data pipelines. - Knowledge of CI/CD and DevOps practices is preferred. - Strong analytical and problem-solving skills. - Good communication and stakeholder interaction abilities. Preferred Qualifications - Bachelors degree in Computer Science, Information Technology, Engineering, or related field. - Microsoft Azure or Microsoft Fabric certifications preferred. - Experience working in Agile/Scrum delivery models. - Exposure to enterprise analytics and reporting environments. Soft Skills - Strong communication and collaboration skills - Good analytical and troubleshooting abilities - Ability to work independently and within teams - High ownership and accountability - Adaptability in fast-paced project environments Nice To Have - Experience with real-time analytics and streaming data - Exposure to AI/ML or advanced analytics projects - Knowledge of data governance and security frameworks - Experience with API integrations and cloud-native architectures - Exposure to multi-cloud platforms suchs as AWS or GCP (ref:hirist.tech) .
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.