🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Job Description Must Have Technical/Functional Skills Experienced Data Quality Engineer/Lead to design, implement, and operationalize enterprise-wide Data Quality capabilities leveraging DQLabs and modern cloud data platforms. The candidate will drive data profiling, DQ rule implementation, data observability, stewardship workflows, metadata management, and executive reporting to improve trust, compliance, and business decision-making. The role will partner closely with business stakeholders, data stewards, architects, and engineering teams across multiple insurance data domains. Implement and administer DQLabs Data Quality platform and related data observability capabilities. Profile source systems and identify Critical Data Elements (CDEs). Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness. Develop metadata-driven Data Quality frameworks and scorecards. Build DQ dashboards and executive reporting for business and technology stakeholders. Analyze data quality issues and drive remediation with business and application teams. Establish Data Quality SLAs, thresholds, ownership, and governance processes. Integrate DQ monitoring with Data Governance and Metadata Management platforms. Support audit, compliance, regulatory, and reporting requirements. Create quality trend reports, root cause analyses, and continuous improvement plans. Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality. Data Stewardship & Governance Enablement Good to have Insurance Brokerage domain experience as needs to collaborate with Business Data Stewards and Data Owners to govern data quality processes. Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows. Roles & Responsibilities Implement and administer DQLabs Data Quality platform and related data observability capabilities. Profile source systems and identify Critical Data Elements (CDEs). Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness. Develop metadata-driven Data Quality frameworks and scorecards. Build DQ dashboards and executive reporting for business and technology stakeholders. Analyze data quality issues and drive remediation with business and application teams. Establish Data Quality SLAs, thresholds, ownership, and governance processes. Integrate DQ monitoring with Data Governance and Metadata Management platforms. Support audit, compliance, regulatory, and reporting requirements. Create quality trend reports, root cause analyses, and continuous improvement plans. Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality. Data Quality & Governance 7+ years of Data Quality, Data Governance, or Data Management experience. Strong understanding of CDEs, Business Glossary, Data Lineage, Metadata Management, and Data Stewardship. Experience implementing enterprise Data Quality programs. Knowledge of Data Quality dimensions and measurement frameworks. DQLabs / DQ Tools / Collibra / Informatica Hands-on experience in DQLabs Insurance Brokerage experience is nice to have Data Stewardship & Governance Enablement Good to have Insurance Brokerage domain experience as needs to collaborate with Business Data Stewards and Data Owners to govern data quality processes. Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows. Salary: $75,000 - $135,000 Qualifications: BACHELOR OF COMPUTER SCIENCE
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.