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Job Summary Design, develop, and optimize enterprise-scale data platforms on Microsoft Azure Cloud. Build scalable and secure ETL/ELT data pipelines to support Data Lake, analytics, and AI/ML initiatives. Ensure high-quality, reliable, and cost-efficient data architecture while driving continuous improvement and technical best practices. Collaborate with cross-functional teams to deliver robust data engineering solutions and mentor junior engineers. Key Responsibilities Design and develop scalable data pipelines and cloud-based data architecture using Azure Data Factory (ADF), Databricks, Microsoft Fabric, and SSIS. Build ETL/ELT processes to integrate data from multiple sources such as SAP, ERP systems, APIs, and Excel into enterprise Data Lake and databases. Develop and optimize SQL, Python, and PySpark scripts for large-scale data processing. Monitor daily data pipeline operations, troubleshoot complex technical issues, and perform root cause analysis. Ensure data quality, accuracy, security, and optimize database performance. Prepare technical documentation, operation manuals, and share best practices with the team. Support continuous improvement by adopting emerging technologies and mentoring junior data engineers. Qualifications Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related fields. Minimum 5 years of experience in Data Engineering or related roles. Strong experience with Microsoft Azure , Azure Data Factory (ADF), Databricks, Microsoft Fabric, and Data Lake. Strong proficiency in SQL Server, T-SQL, Python, and PySpark . Experience in designing Data Warehouse, ETL/ELT processes, and integrating data from ERP/SAP systems and APIs. Knowledge of Cloud Architecture, CI/CD, DevOps practices, and Database Performance Tuning. Strong analytical and problem-solving skills with the ability to perform root cause analysis. Passion for learning new technologies and mentoring team members.
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.