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Who are we? Whiteline Group is a dynamic organization at the forefront of innovation and growth. We provide end-to-end marketing solutions. Our business covers brand activation, retail media, retail execution, publishing, business consultancy and technology solutions. With a team of more than 300 talented and dedicated staff, our organization has grown quickly. As part of our journey, we are preparing for an Initial Public Offering (IPO). Now we are seeking new talent partners for growing together. How Will You Make An Impact? You Will Lead The Development Of Scalable Data Platforms And Pipelines That Power Business Intelligence And Data-Driven Decisions Across The Organization. Your Work Will Ensure Reliable, Secure, And High-Performance Data Solutions While Driving Technical Excellence, Innovation, And Continuous Improvement Across The Data Engineering Team What You Will Do? Lead The Design, Development, And Optimization Of Scalable ETL/ELT Pipelines And Data Platforms Establish Data Engineering Standards, Best Practices, And Architecture Guidelines Ensure Data Quality, Integrity, Security, And Governance Across The Data Ecosystem Design And Oversee Databases, Data Warehouses, And Data Lake Architectures Optimize Data Storage, Processing Performance, Scalability, And Cost Efficiency Drive Platform Modernization And Cloud Data Initiatives Establish Monitoring, Alerting, And Observability For Data Pipelines And Platforms Lead Root Cause Analysis And Resolve Complex Data Issues Continuously Improve Data Platform Reliability, Performance, Scalability, And Operational Efficiency Provide Technical Leadership And Mentor Data Engineers And Cross-Functional Teams Collaborate With Data Analysts, Data Scientists, And Business Teams To Support Analytics, Reporting, And AI/ML Initiatives Review Technical Solution Designs To Ensure Alignment With Business Objectives Evaluate Emerging Technologies, Tools, And Best Practices In Data Engineering Drive Automation, DataOps Practices, And Continuous Improvement Initiatives What You Will Need? Bachelor's Degree In Computer Science, Information Systems, Or Related Field At Least 5 Years Of Experience In Data Engineering Or Related Field Experience With Big Data Technologies Strong Programming Skills In Python And SQL Experience With Google Cloud Platform (GCP), Including BigQuery, Cloud Storage, Cloud Run, Cloud Functions, Pub/Sub, Cloud Composer (Airflow), And IAM Strong Knowledge Of Relational And Non-Relational Databases Such As SQL Server, PostgreSQL, MongoDB, And BigQuery Good Understanding Of Data Structures And Their Application In Data Engineering Experience With Data Pipeline Tools Such As Apache Airflow Or dbt Is A Plus Familiarity With Cloud Platforms Such As GCP, Azure, Or AWS Understanding Of CI/CD Workflows And DevOps Practices Knowledge Of Data Governance And Security Best Practices Experience With AI-Driven Or Low-Code Automation Tools Such As Knime, n8n, Or Make Is A Plus Strong Analytical And Problem-Solving Skills Experience Designing Scalable And Secure Data Architectures Strong Collaboration And Stakeholder Management Skills Leadership Experience With The Ability To Mentor Team Members Strong Sense Of Ownership And Accountability Fluent In Thai English Proficiency Is An Advantage What will you get? Flexible working hours Snack bar and ice cream Massage service Cars & Motorcycle parking allowance (50% support by the company) Medical allowance and Dental allowance Annual health check Mental health service Annual salary adjustment & bonus (based on performance) Company outing Annual leave days (up to 15 days) Special leave day (marriage, anniversary) Dare to cross the Whiteline!
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.
