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We are looking for an experienced BI Engineer with strong expertise in Power BI, SSRS, and SQL to join our Digital Products & Data Analytics team. The ideal candidate should have hands-on experience building enterprise-grade dashboards, reports, and analytical solutions while collaborating with business and technical stakeholders. The candidate should be a quick learner, capable of working independently, and passionate about delivering high-quality BI solutions. Requirements Key Responsibilities Design, develop, and maintain interactive Power BI dashboards and reports Develop and maintain SSRS reports for enterprise reporting requirements Write complex SQL queries for data extraction, transformation, and analysis Analyze business requirements and translate them into scalable reporting solutions Work closely with data engineering and business teams to deliver reporting and analytics solutions Optimize report performance and ensure data accuracy Troubleshoot reporting issues and implement enhancements Support data visualization initiatives across Digital Products & Analytics teams Mandatory Skills 58 years of relevant experience in Business Intelligence and Reporting Strong hands-on experience in Power BI Report & Dashboard Development Strong experience in SQL Server Reporting Services (SSRS) Development Strong SQL programming and analytical skills Excellent understanding of data analysis and reporting concepts Ability to work independently with minimal supervision Quick learner with strong problem-solving abilities Preferred Skills Experience in PySpark for ETL/Data Engineering activities Exposure to Data Engineering concepts and ETL pipelines Experience working in the Banking or Financial Services domain Knowledge of enterprise data warehouse environments is an advantage Experience 58 Years Ideal Candidate We're looking for someone who: Has excellent Power BI development expertise Is highly proficient in SSRS development Possesses strong SQL and analytical skills Can independently own reporting deliverables Learns quickly and adapts to new business requirements Has exposure to PySpark-based ETL processes (preferred) Has prior banking domain experience (preferred) .
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.