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Job Purpose Data Engineer is responsible for handling the design and construction of scalable data management system including data storage, data piping, ETL and interfacing with analytics platforms. The jobholder needs to manage all data aspects related to public cloud solution, data lake, data warehouse, reporting, etc. The job holder is also required to participate in gathering data requirements, modelling, and testing as well as define flow of data in a project from input through to storage including interfaces with analytics tools or end user software. Key Accountabilities Providing technical guidance related to data architecture, data models and meta data management to IT function and imitative leaders Define and implement data flows through/ and around digital products Participate in data modeling and testing to ensure smooth operations Extract relevant data to solve analytical problems, and ensure development teams have the required data Interact with the initiative leaders to understand all data requirements used for business insights development, and translates into data structures and data model requirements to IT function Develop set processes for data profiling, data quality, data transformation, data mining and data protection. Work closely with database teams on topics related to data requirements, cleanliness, accuracy, and etc., Track analytics impact on business, and provide recommendation for better result Monitor market watch, and provide recommendation to improve efficiency of current projects Professional Knowledge & Experiences Bachelor’s Degree in computer science, statistics, or related technical discipline 5+ years’ experience with advanced data management system and master data management Experience in developing applications in high volume data staging/ ETL environments and proficient in advanced SQL skills, Python programming and familiar with pandas scikit-learn, matplotlib, numpy, dash library. Experience in using Data Analytics products such as BigQuery, Apache Kafka, Apache Airflow, Cloud Storage, etc. Clear understanding in different data domains of operations, customers, etc. Ability to quickly learn new technologies Additional Desirable Qualification CORE Competencies
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.