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Job Summary: Transform massive enterprise data into actionable business strategies. This team leverages Big Data, Artificial Intelligence, and Machine Learning to drive innovation, optimize retail operations, and deliver highly personalized experiences for millions of customers. Job Responsibilities: Data Platform Engineer: Architect, build, and maintain highly scalable data pipelines, Data Lakes, and Data Warehouses. Ensure data integrity, security, and availability for downstream analytics and machine learning applications. Data Analyst: Extract and analyze complex datasets to identify trends, patterns, and anomalies. Build dynamic dashboards and reporting tools to provide actionable insights that empower executive decision-making. AI & Data Scientist: Research and develop advanced Machine Learning and AI models. Focus on predictive analytics, customer segmentation, demand forecasting, and recommendation engines to enhance business competitiveness. Job Requirements: Junior (0-3 years): Strong proficiency in SQL and basic statistics. Hands-on experience with data visualization tools or basic data wrangling scripts. Mid-Senior (3-7 years): Capable of extracting deep business insights, designing complex ETL/ELT pipelines, or deploying machine learning models into production environments. Expert / Specialist (7+ years): Proven track record in designing Big Data architectures, leading Generative AI / Deep Learning initiatives, and acting as a strategic data advisor to top management. Skills / Tools & Technology: Data Processing & Storage: SQL, Hadoop, Spark, Kafka, Apache Airflow, Snowflake, BigQuery. Analytics & Visualization: Tableau, Power BI, Looker, Google Data Studio. Data Science & AI: Python, R, TensorFlow, PyTorch, Scikit-Learn, MLOps, LLMs. Application Confidentiality & Future Opportunities: All applications will be treated with the strictest confidentiality. If your qualifications and experience align with the requirements of the role, our talent acquisition team will reach out to you directly. In the event that there is not an immediate fit, we will securely retain your profile for consideration against future suitable opportunities. To explore other exciting career opportunities with us, please visit: https://www.careers-page.com/gosoftthailandcoltd
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.