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Key Responsibilities: Get requirement from users and Design data model, reports based on requirements Design, develop, and maintain robust ETL pipelines to process structured and unstructured data from multiple sources. Implement scalable data ingestion, transformation, and loading processes using SQL and Azure Data Factory , Azure Databricks , or similar tools. Ensure data quality, integrity, and consistency across all systems by implementing validation rules, logging, and monitoring. Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver appropriate solutions. Develop and optimize SQL queries , stored procedures, and views for efficient data processing and reporting. Monitor ETL job performance and troubleshoot issues as they arise. Maintain clear and detailed documentation of data pipelines and processes. Requirements: Bachelor's degree in Computer Science , Information Systems , or a related field. 1+ years of experience in Data Engineering or a similar role. Strong proficiency in SQL for data extraction, transformation, and optimization. Hands-on experience with ETL tools (e.g., Azure Data Factory, SSIS, Informatica, etc.). Solid understanding of Azure cloud services , particularly Azure Data Factory , Synapse , Blob Storage , and Data Lake . Knowledge of Python or PySpark for data transformation is a plus. Experience with Power BI or other visualization tools is a plus. About Inteltion At Inteltion, we are one of Thailand’s top three Data & AI companies —a team of innovators, problem solvers, and forward-thinkers passionate about data, AI, and digital transformation . We partner with the majority of Thailand’s top 100 enterprises across various industries, helping them unlock the power of data and AI . Innovate with Cutting-Edge Technologies Work on state-of-the-art AI, Generative AI, Data Engineering, and Data Visualization projects, leveraging the latest tools and frameworks to build impactful, real-world solutions for top-tier enterprises. Collaborate with Industry Leaders & Experts Work alongside top minds in AI, Machine Learning, Big Data, and Cloud Computing, delivering Data&AI-driven solutions at scale for major corporations in Thailand.
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.