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Exposure to data platforms and investment systems Hands-on end-to-end data pipeline development About Our Client Our client is a well-established organization in the public sector, known for its significant contributions to the development and regulation of Hong Kong's financial infrastructure. The organization operates as a large entity, offering a stable and structured environment for its employees. Job Description Develop and manage end-to-end data pipelines, from data collection and ETL to reporting and dashboard visualisation Handle both recurring and ad hoc data requests from business teams with analytical insights Build and maintain dashboards, data models, and reporting solutions Support and enhance applications across the data and investment technology stack (Python, SQL, VBA, scripting tools) Investigate and resolve data-related issues while ensuring strong data governance practices Provide user support for data warehouse, data lake, and lakehouse platforms Collaborate with stakeholders to deliver scalable and efficient data solutions Contribute to ongoing projects and support ad hoc technology initiatives The Successful Applicant Degree in Computer Science, Statistics, or a related discipline Minimum 3 years of experience in data engineering, analytics, or integration development Strong programming skills in languages such as Python, Java, C++, or JavaScript Proven experience with SQL, ETL processes, and building data pipelines Familiarity with data tools such as Tableau, Python, R, or Excel Understanding of system architecture, infrastructure, and integration concepts Exposure to financial data, investment workflows, or automation tools is advantageous Knowledge of tools such as UiPath or Apache Airflow is a plus Detail-oriented with strong analytical thinking and problem-solving skills Good communication skills in English and Chinese Self-motivated team player with strong organisational skills What's on Offer CPmpetitive monthly salary and benefits package. Opportunity to contribute to impactful projects in the public sector. Temporary position based in the Central District, offering a convenient work location. This is an excellent opportunity for a motivated Data Engineer to enhance their skills and gain valuable experience in the public sector. If this role aligns with your career aspirations, we encourage you to apply today
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.