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A leading real estate organisation is seeking a Data Engineer in Hong Kong to design and optimise scalable data pipelines that power business insights and data-driven decision-making. This is an exciting opportunity to work with modern Azure data technologies, delivering reliable, high-quality data solutions within a collaborative environment. Key responsibilities: Design, develop, and maintain scalable ETL pipelines using Databricks and Azure Data Factory Build and optimise reliable data workflows to support analytics and business reporting Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data solutions Ensure data quality, governance, and integrity across enterprise data platforms Monitor, troubleshoot, and optimise data pipelines to improve performance, reliability, and scalability Candidate profile: At least 3 years' experience in data engineering, ETL development, or a related field Hands-on experience with Databricks, Azure Data Factory, SQL, and Python Strong understanding of cloud-based data platforms, with Azure experience preferred Experience designing scalable, high-performance data pipelines and ETL solutions Strong analytical, problem-solving, and stakeholder collaboration skills About this company: A leading real estate organisation with a strong presence in property development and management, delivering innovative solutions that shape communities and enhance business value. The company offers a collaborative and forward-thinking environment, providing employees with opportunities to grow, contribute to strategic initiatives, and drive meaningful impact. Keywords: Data Engineer, Databricks, Azure Data Factory, ETL, Python What's next: Shape the future of data by building scalable cloud solutions that power smarter business decisions. Apply now!
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.