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Job summary We are looking for a skilled and motivated Data Engineer to join our growing data team. In this role, you will design, build, and maintain scalable data solutions that enable data-driven decision-making across the organization. You will play a key role in developing robust data pipelines, optimizing cloud-based data infrastructure, and supporting analytics and AI initiatives. Responsibilities: Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines for data ingestion, transformation, and storage. Develop and optimize ETL/ELT processes to ensure data quality and consistency. Automate data workflows and implement monitoring solutions to ensure pipeline reliability. Data Storage and Management: Architect and implement efficient data storage solutions, including data warehouses, data lakes, and databases. Ensure data security, integrity, and compliance with relevant regulatory standards. Optimize data storage structures and query performance for scalability and efficiency Data Infrastructure & Technology: Evaluate, recommend, and implement modern data technologies to enhance data infrastructure capabilities. Manage and optimize cloud-based data environments (e.g., Google Cloud Platform, BigQuery). Develop and maintain comprehensive data documentation, including metadata and data lineage. Collaboration & Communication Partner with data scientists, analysts, AI engineers, and business stakeholders to gather and translate data requirements into scalable solutions. Clearly communicate technical concepts to both technical and non-technical audiences. Participate in code reviews and contribute to knowledge sharing and best practices within the team. Performance Optimization & Support Continuously optimize data pipelines and infrastructure for performance, scalability, and reliability. Troubleshoot and resolve data-related issues in a timely manner. Monitor system performance and proactively identify opportunities for improvement. Business Intelligence & Dashboard Development Prepare curated “gold layer” datasets for business consumption. Develop and maintain user-friendly dashboards using BI tools (e.g., Looker Studio or similar platforms). Guide and support business users in leveraging datasets to design or enhance dashboards effectively. AI-Driven Data Analytics Collaborate with AI Engineers to co-develop AI-powered analytics solutions, including chatbot interfaces. Design scalable data models and define structured schemas to ensure context-ready data for AI applications. Requirements: Bachelor’s degree in Computer Science, Data Engineering, or a related discipline (or equivalent practical experience). Proven experience in a Data Engineer or similar role. Strong proficiency in SQL and at least one programming language (e.g., Python, Java, or similar). Hands-on experience with data warehousing and data lake technologies (e.g., BigQuery, Hadoop, Spark). Experience designing and maintaining ETL/ELT processes and tools. Familiarity with cloud platforms (e.g., GCP) and their data services. Solid understanding of data modeling and database design principles. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Knowledge of end-to-end supply chain logistics is an added advantage. Willing to travel and relocate to Bukit Raja, Klang
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.