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Responsibility: Create and maintain optimal data pipeline architecture on data platforms. Design optimal data models that suits with either structured, semi-structured or unstructured dataset to gain performance and efficiency of data pipeline process. Build infrastructure and framework required for data pipeline process. Utilize data platforms to provide the insights into business metrics: customer acquisition, operational efficiency, operational risk, regulation, etc. Prepare data & tools for data analyst and data scientist team. Design and build BI datasets that let business users are able to analyze data by themselves. Design, implement and maintenance internal process improvements: automating manual process, optimizing data delivery, capability expansion, etc. Work with stakeholders including the Executive, Product and Business unit to assist with data-related technical issues and support their data infrastructure needs. Work closely with data experts, IT engineers and partners in various functionalities of data project: identify, planning, procurement, contract, implementation, maintenance, etc. Skills and Qualifications : Degree in Computer Science, Software Engineering or equivalent. Experience in data warehouse, big data technology, data engineering. Relevant working with SQL/NoSQL as well as data integration & ETL tools: Oracle Data Integration (ODI), SSIS, etc. Experience with a variety of databases: Oracle, SQL Server, AWS DynamoDB, MongoDB, Google BigQuery, Azure Synapse, etc. Working knowledge of message queuing, stream processing, distributed data processing. It’s Great If You Have: Experience in the banking and life assurance industries. Experience in IFRS17 Strong project management and organizational skills. Strong in systematic thinking, problem solving, good leadership, interoperability and orchestration skills. Talent Acquisition Team, Human Resources Management Department (Head Office) Muang Thai Life Assurance Public Company Limited 250 Ratchadaphisek Rd., Huaykwang, Bangkok 10310 Website : www.muangthai.co.th [link removed] Line Official Account : @mtlcareer LinkedIn : Muang Thai Life Assurance Public Company Limited หมายเหตุ: ตำแหน่งงานนี้จำเป็นต้องตรวจสอบประวัติอาชญากรรมของบุคคลก่อนพิจารณารับเข้าทำงาน เพื่อความปลอดภัยและรักษามาตรฐานขององค์กร Remark: This position requires a criminal record information check prior consideration for employment to ensure safety and maintain standards of the organization.
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.