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Job description 1.Mission: Integrate and analyze shop-floor data—machine downtime timestamps, repair/maintenance history, and production volumes—to drive predictive maintenance, bottleneck resolution, setup/changeover time reduction, and quality stabilization. Lead implementation to improve OEE, extend MTBF, shorten MTTR, and increase throughput. 2.Data Engineer Design and build data pipelines (ETL/ELT) from multiple sources such as PLC/CNC/Lot sensors, MES/ERP/CMMS, and CSV/Excel. Data modeling / DWH / lakehouse design (schema design, SCD, metadata management, data quality monitoring). Develop streaming platforms for real-time metrics (downtime, alerts, utilization) visualization and distribution. 3.Data Scientist Problem framing (OEE, setup/changeover, bottlenecks, quality, maintenance), hypothesis design, EDA, and feature engineering. Build models for time series / anomaly detection / reliability analysis (e.g., ARIMA/Prophet/LSTM). Predictive maintenance (failure early-warning scoring, remaining useful life estimation) and root cause analysis (based on repair/maintenance history). Create dashboards (Power BI / Tableau), embed insights into operations, and measure impact (pre-post comparison, A/B testing, DOE) Requirements Bachelor's degree Toeic 500 point up Must-Have Qualifications (3 years) Intermediate Thai and English Language Python (pandas, numpy, scikit-learn, statsmodels, and either PyTorch or TensorFlow) Hands-on SQL experience Experience in designing and operating data pipelines Experience in data visualization and operational adoption using dashboards (Power BI / Tableau / Looker, etc.) Practical knowledge of manufacturing data (shop-floor measurements, MES/ERP, maintenance logs, etc.) Benefits Cost of Living / Transportation / Meal / Attendance Incentive / Medical Benefits / Provident Fund / Group Life Insurance / Bonus and Other Benefits
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.