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ชื่อตำแหน่ง : Data Engineer (Mitr Phol AI) รูปแบบการจ้าง : Fix Term Contract 2 ปี Role Purpose The Data Engineer (AI) is responsible for building and maintaining robust data pipelines and infrastructure that power AI and advanced analytics across Mitr Phol. This role ensures that data is collected, cleaned, transformed, and made available in an AI-ready format for Data Scientists, Generative AI/LLM specialists, and business stakeholders. Key Responsibilities Data Pipeline Development Develop and maintain scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data. Integrate data from multiple sources including ERP, IoT/sensors, APIs, external datasets, and files. Support both batch and streaming ingestion (real-time pipelines). Data Management & Transformation Implement data cleansing, transformation, and normalization processes. Ensure data consistency, accuracy, and integrity. Build curated datasets and feature stores for AI/ML models. Collaboration & Support Work closely with Data Scientists to prepare and deliver training and inference datasets. Support AI Product Managers with data requirements for new use cases. Collaborate with AI Data Governance team to implement metadata, lineage, and access controls. Operations & Monitoring Monitor pipeline performance, latency, and costs. Troubleshoot data ingestion or quality issues. Automate workflows using orchestration tools (Airflow, dbt, Azure Data Factory, etc.). Document & Best Practices Maintain documentation of pipelines, schemas, and data dictionaries. Follow coding standards, version control (Git), and CI/CD practices. Ensure compliance with Responsible AI and data security guidelines. Required Qualifications Bachelor’s degree in Computer Science, Data Engineering, IT, or related. 2–5 years of experience in data engineering, data integration, or ETL development. Proficiency in Python, SQL (and optionally Scala/Java). Hands-on experience with big data and processing tools (e.g., Spark, Kafka/EventHub, Hadoop, dbt, Airflow). Experience with relational and non-relational databases (e.g., Postgres, SQL Server, MongoDB, Cassandra). Familiarity with cloud data platforms (Azure Data Factory, AWS Glue/Redshift, GCP BigQuery).
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.