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About the role This role involves executing end-to-end incident management for data-related production issues, monitoring daily operation of data pipelines, system interfaces, ETL/ELT processes, and identifying data quality anomalies and platform performance issues. You will handle high-priority BAU data incidents, participate in data migration projects, and support enterprise data governance work. Key responsibilities Execute end-to-end incident management for data-related production issues, follow standardized processes to track and resolve data faults Monitor daily operation of data pipelines, system interfaces, ETL/ELT processes, identify data quality anomalies and platform performance issues Handle daily high-priority BAU data incidents, escalate complex critical incidents to supervisors in a timely manner with complete problem details Participate in root cause analysis (RCA) and assist in formulating preventive action plans to avoid recurring problems Collaborate closely with Data Custodians, business users, application support teams and vendors to troubleshoot and fix daily data issues efficiently Participate in data migration projects, responsible for specific execution work including data extraction, transformation, validation, data reconciliation and project cutover Execute data validation and reconciliation work during migration to guarantee data integrity and accuracy Implement daily data monitoring and control work, timely identify and fix potential data risks and recurring data problems Maintain and update operational documents, operation manuals, support processes and team knowledge base regularly Cooperate with data owners and data custodians to optimize data quality, data lineage and data stewardship related processes About you Bachelor's Degree or above in Computer Science, Information Technology, Data Engineering, Data Science, Business Analytics, or a related discipline 3-5 years of working experience in Data Engineering, Data Operations, Production Support, Data Warehousing, or Enterprise Data Management Solid analytical thinking, problem-solving and independent judgment skills, able to efficiently handle daily data operation and fault problems Practical experience in supporting mission-critical data production environments and participating in end-to-end data incident management processes Hands-on experience in participating in data migration, data transformation and enterprise data integration projects Proficient in SQL with solid database query optimization and troubleshooting capabilities Hands-on experience with enterprise data platforms and mainstream cloud data technologies Practical working experience with mainstream ETL/ELT tools and data integration frameworks Fluency in both English and Mandarin/Cantonese (written and spoken) Good cross-departmental communication and stakeholder collaboration skills, able to cooperate with different teams to complete data work
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.