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Job Information Industry IT Services Date Opened 08/12/2026 Job Type Full time Work Experience 5-10 years City BENGALURU State/Province Karnataka Country India Zip/Postal Code 560045 About Us BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth. Job Description Requirements Overview of The Role The Data Engineer is responsible for designing, building, and supporting scalable, secure, and high-performance analytics solutions on the Microsoft Fabric platform. This role combines strong technical depth with business acumen to translate evolving business needs into trusted data products.The individual will play a key role in shaping and executing our clients modern BI and analytics strategy. How You Will Make Contributions That Matter: Partner closely with stakeholders to translate business requirements into Fabric-based data models, pipelines, and analytical solutions Contribute to the end-to-end design and evolution of a scalable enterprise analytics architecture using Microsoft Fabric Collaborate with Business SMEs and technical teams (Infrastructure, Security, Dynamics, external) to design and deliver sustainable, governed analytics solutions Assist with preparation and facilitation of design workshops with documented outcomes (requirements, design, data models) Ensure solutions are scalable, secure, cost-effective, and aligned with data & AI strategy Design and develop high-performance data engineering components capable of processing large volumes of structured and semi-structured data Build reusable, enterprise-grade data models (Lake-house and semantic models) aligned with architectural standards and best practices Contribute to administration, governance, and operational health of the Microsoft Fabric platform Define and execute test strategies, including data validation, performance tuning, and data profiling Monitor Fabric pipelines, data refreshes, and workloads, proactively troubleshoot and resolve issues Own incident resolution and day-to-day sustainment of Fabric analytics solutions Utilize Microsoft Analytics tools for seamless integration and efficient user interface development to enhance overall user experience Optimize SQL, Spark, and DAX queries for performance and scalability Mentor analytics, functional and business teams on Microsoft Fabric capabilities, patterns, and best practices Contributes to work effort estimation for new and enhanced project opportunities Supervision Acts as an individual contributor and operates independently while ensuring alignment with enterprise BI and analytics strategy Can oversee project and support activities such as troubleshooting, enhancements, capacity planning, upgrades, and migrations Communicates clearly and collaborates effectively with cross-functional and geographically distributed teams Qualifications Bachelors degree in information systems, Computer Science, Software Engineering, or equivalent experience 5+ years of hands-on experience delivering enterprise analytics and data engineering solutions on Microsoft platforms Strong experience engineering solutions on Microsoft Fabric and modern Azure analytics services, with understanding and working knowledge of other industry-standard analytics and data engineering tools. Microsoft Azure / Fabric certifications Strong foundation in: o Data ingestion and integration o Data transformation and orchestration o Data storage, data lakes, and lake-house architecture o Data warehousing and dimensional modelling Experience with CI/CD, DevOps, and source control (Azure DevOps, GitHub) Understanding of administration, security, and governance for Microsoft analytics platforms Experience with enterprise delivery methodologies (Agile/ Waterfall) and estimation practices Robust understanding of Optimization techniques to improve ingestion process Experience in building real time solutions end to end Experience in ingesting data from SaaS, on-prem, PaaS, SharePoint and different file formats Understanding of advanced AI technologies like ML, Agentic AI. Strong written and verbal communication skills, especially for technical design documentation Ability to operate effectively across complex, interdependent work-streams, teams, and geographies Up-to-date knowledge of industry trends and best practices in data engineering and analytics Technical qualifications Strong hands-on experience as a Data Engineer on Microsoft Fabric and Azure platforms, including: o Fabric .
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.