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Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize various tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include: Design Data Integration Solutions: Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage. Implement ETL Processes: Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Utilize Data Integration Tools: Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions. Ensure Seamless Data Flow: Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing efficient ETL processes. Support Business Intelligence: Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments. Preferred Education Master's Degree Required Technical And Professional Expertise Exposure to Data Integration Tools: Familiarity with tools such as Informatica, Ab Initio software, and DataStage, with the ability to apply this knowledge to design and build data integration solutions. Experience with ETL Processes: Understanding of Extract, Transform, and Load (ETL) processes, with the ability to develop and implement these processes to ensure seamless data flow. Data Solution Design: Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment. Data Flow Management: Experience working with data flows, with the ability to ensure the smooth flow of data throughout the business intelligence solution's lifecycle. Business Intelligence Support: Exposure to supporting business intelligence environments, with the ability to design and build solutions to transfer data from operational and external environments. Preferred Technical And Professional Experience Additional Data Integration Tools: Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage, with the ability to quickly learn and apply new tools to design and build data integration solutions. Advanced ETL Process Development: Experience with complex ETL process development, including data mapping, data transformation, and data quality checks, to ensure seamless data flow throughout the business intelligence solution's lifecycle. Business Intelligence Environment Knowledge: Exposure to various business intelligence environments, with the ability to design and build solutions to transfer data from operational and external environments to support business intelligence initiatives.
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.