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We are seeking a highly skilled and experienced Data Engineer to join our team in Metro Manila, Philippines. As a Data Engineer, you will be responsible for designing, building, and maintaining data infrastructure and systems. Key Responsibilities: We are looking for a Data Engineer to join and support the development and optimization of scalable data solutions. This role is ideal for someone with hands-on experience building data pipelines using Databricks and AWS , and who enjoys transforming raw data into reliable, business-ready datasets. You will collaborate with business and technical teams to integrate data from multiple sources, automate workflows, and ensure high-quality data is available for reporting and analytics. Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and AWS. Build and optimize data workflows that ingest, transform, and load data from various internal and external sources. Integrate data from databases, APIs, cloud storage, and third-party applications. Develop and optimize SQL queries and Python scripts for efficient data processing. Maintain and improve data warehouses and data lake environments to ensure performance, reliability, and scalability. Monitor data quality, troubleshoot pipeline issues, and implement validation processes. Collaborate with business stakeholders and IT teams to understand reporting and analytics requirements. Support Power BI reporting by preparing clean and well-structured datasets. Document data pipelines, workflows, and technical processes. Participate in testing and production deployment to ensure stable and reliable data solutions. Qualifications: At least 3 years of experience in Data Engineering, ETL Development, or a related role. Hands-on experience using Databricks for developing or maintaining data pipelines. Experience working with AWS services for data storage, processing, or integration. Strong SQL skills, including query optimization and data transformation. Proficiency in Python for data engineering and automation. Experience building ETL/ELT pipelines and integrating multiple data sources. Familiarity with APIs, data modeling, and data quality best practices. Experience with GitHub or other version control tools. Location: Quezon City (4 Days Onsite, 1 Day Work From Home) Employment Type: Project-Based / Contract (3 Months) Industry: Retail / Health & Wellness
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.