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Data Engineer – Data & Application Support Role Overview We are looking for an experienced Data Engineer to develop, enhance, and support data pipelines and integration solutions. The role covers the full delivery lifecycle, from requirements analysis and technical design to development, data quality, production support, and ongoing optimisation. Key Responsibilities Data Engineering & Development Design, develop, test, and maintain scalable data pipelines, data models, and integration solutions . Ingest, transform, and curate data from multiple internal and external sources for downstream systems and analytics. Translate business, functional, and data requirements into reliable and maintainable technical solutions. Partner with business analysts to validate business rules, data mappings, transformation logic, and user requirements . Perform data profiling, reconciliation, testing, and root-cause analysis to maintain data accuracy, completeness, and consistency. Application & Production Support Manage application enhancements, defects, production incidents, and change requests through proper assessment, testing, and implementation. Provide BAU support for data platforms and pipelines, including monitoring, incident investigation, troubleshooting, and remediation. Monitor system and pipeline performance and implement improvements in automation, performance, reliability, and resilience . Documentation & Governance Maintain technical documentation including data flow diagrams, pipeline designs, data models, mappings, interface specifications, and operational runbooks . Implement appropriate data governance, security, risk, and technology controls across data solutions. Ensure solutions comply with internal data management and technology standards. Requirements Degree in Computer Science, Information Technology , or a related discipline. Minimum 5 years of hands-on experience in data engineering and/or application support . Strong hands-on proficiency in Python and SQL . Experience with data pipelines, data integration, data transformation, data modelling, and data quality . Strong troubleshooting and analytical skills, particularly within production environments. Good written and verbal communication skills. Adaptable, quick to learn, and comfortable working in an Agile environment.
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.
