15 Etl Engineer jobs in Thailand

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 our data, product, and technology teams to deliver insights, platforms, and digital solutions that move the business forward. From analytics and engineering to product ownership and project management, you'll make sure every initiative is aligned with strategy, supported by strong teams, and creates real business value.

What you will do?

• Lead the PM team as the key link between business units and technology teams
• Oversee product ownership for in-house platforms, ensuring clear vision, roadmap, and adoption
• Guide the data analytics team to deliver dashboards, reporting, and insights that drive action
• Manage the data engineering team in building pipelines, warehouses, and integrations across systems
• Provide reliable application support and coordinate with vendors for smooth delivery
• Develop and coach team members, build capability, and foster innovation
• Own budgets and allocate resources effectively across vendors, infra, and development
• Sponsor innovation projects in AI, automation, and emerging technologies

What you will need?

• Bachelor's degree in Computer Science, Engineering, Data/IT, Statistics, or related field (Master's is a plus)
• 7–10 years of experience in data analytics, BI, or data engineering with strong hands-on expertise
• Proven track record in leading projects and mentoring teams, with readiness for broader leadership
• Experience in product ownership or application support is an advantage
• Skilled in vendor and external partner management
• Strong ambition to grow into a strategic leadership role
• Proficiency in BI/analytics tools (Power BI, Tableau, SQL) and familiarity with data engineering concepts
• Knowledge of Python/R and awareness of AI/automation is a plus
• Excellent communication, stakeholder management, and team coaching skills

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)

Work Location
: Thanapoom Tower Near BTS Nana, MRT Petchaburi.

Dare to cross the Whiteline

Imagine
leading a multicultural cross-functional team of data engineers and collaborate closely with product managers, architects, and global stakeholders. You will play a pivotal role in building and scaling high-quality, cloud-native data products on our global cloud-based data platform, driving data-driven business transformation across Pandora
– the world's largest jewellery brand.

Your mission is to ensure excellence in engineering practices, delivery of reliable and scalable data solutions, and nurturing of a high-performing, innovative team. This is a leadership role with a strong technical foundation.

We love that you will…

• Lead, mentor, and develop a team of skilled data engineers working on the Azure PaaS stack.
• Foster a collaborative, inclusive, and high-performance culture within the team.
• Support career growth through coaching, performance reviews, and development plans.
• Collaborate with architects, product managers, and other stakeholders to design and deliver scalable data solutions and analytics products.
• Ensure timely delivery of data products aligned with business goals and technical standards.
• Drive best practices in data engineering, including CI/CD, testing, data modelling, and engineering quality.
• Drive the modernization journey from IaaS to Azure PaaS using technologies like ADF, Data Lake, Synapse, Databricks, and Analysis Services.
• Contribute to architectural decisions and long-term platform evolution, supporting use cases across analytics, AI, and reporting.
• Promote innovation by exploring new tools, frameworks, and practices to improve data product development.
• Balance technical debt and feature development, ensuring scalability and maintainability.

We love that you are…

• Bachelor's or master's degree in computer science, Data Engineering, or a related field.
• 7+ years of experience in data engineering roles with increasing responsibility.
• 3+ years in a technical leadership or engineering management role.
• Deep expertise in Azure Data Services (Databricks, Data Factory, Data Lake, Synapse).
• Strong understanding of data architecture, data modelling, and warehousing concepts.
• Experience within SQL, PySpark, and Python
• Hands-on experience with CI/CD and DevOps,
• Familiarity with containerization and streaming technologies is a bonus.
• Strong understanding of modern data governance, quality, and observability practices.
• Excellent stakeholder communication and relationship management skills.
• Comfortable working in a virtual, multicultural, and agile environment.

Welcome to our Crafting & Supply
The magic happens at our crafting facilities, where we combine centuries-old crafting traditions and high-quality materials with modern production techniques. You will be warmly greeted with over 13,000 craftspeople who are excellent at crafting and supplying the world's largest jewellery brand with our craftsmanship. You will be part of a team of D&A Management people and report to VP, Data & Analytics.

Join a team that is as diverse and inclusive as our jewellery. We believe and value creative thinking and ensure that there's equitable opportunities for all.

• Foster your growth and craft opportunities through our learning and development programmes.
• At Pandora, no effort or contribution goes unnoticed. We offer a wide range of opportunities and benefits to ensure that our employees feel valued, supported, and cared for.
• Transportation services are also available to drop you at the closet BTS station and other community areas.

About Pandora Crafting & Supply
Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2024, there are 113 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.

About Pandora Group
Pandora is the world's largest jewellery brand. Designed in Denmark and crafted in Thailand, Pandora jewellery provides endless opportunities for personalisation, allowing people to express their passions and show who they are. The company's products are made from high-quality materials and sold in more than 100 countries through 6,785 points of sale, including 2,788 concept stores.

Pandora is committed to leadership in sustainability and is sourcing lab-grown stones and recycled silver and gold for all its jewellery. Headquartered in Copenhagen, Denmark, Pandora employs 37,000 people worldwide, is listed on the Nasdaq Copenhagen stock exchange, and generated sales of DKK 31.7 billion (EUR 4.25 billion) in 2024.

We are seeking a proactive and technically adept
Data Engineering & BI Developer Manager
to lead the design, development, and oversight of our organization's business intelligence systems, data pipelines, and automation infrastructure. This role plays a critical part in enabling data-driven decision-making by building centralized dashboards, integrating multiple digital platforms (e.g., Facebook, Google, TikTok), and streamlining data workflows. The ideal candidate will have a strong foundation in data architecture and a working knowledge of machine learning concepts, while also serving as a bridge between regional and global teams to foster knowledge sharing and best practices.

Responsibilities

• Lead the design, development, and continuous improvement of BI dashboards and reporting systems to support cross-departmental decision-making.
• Translate complex business requirements into scalable, actionable data visualizations using tools like Looker Studio, Tableau, and Power BI.
• Collaborate with business units to define KPIs and ensure reporting aligns with organizational goals.
• Champion a data-driven culture by democratizing access to high-quality insights.
• Manage the integration of digital data sources and build custom or native connectors to platforms including: Facebook Ads, Google Ads / Google Analytics, TikTok Ads, Google Sheets and other internal/external platforms
• Ensure data ingestion pipelines are secure, scalable, and optimized for automated refreshes.
• Design and implement automation solutions to eliminate manual data processes using Python, Google Apps Script, and orchestration tools (e.g., Apache Airflow).
• Apply strong understanding of data modeling and architecture to maintain a clean, efficient, and scalable data infrastructure.
• Actively collaborate with regional and global BI/data teams to align on architecture, tools, and methodologies.

Qualifications

• Proven expertise in BI tools such as Looker Studio, Tableau, and Power BI.
• Proficiency in SQL and Python; experience with Google Apps Script is a plus.
• Hands-on experience with building and managing data connectors (via APIs or platform-native integrations).
• Strong knowledge of digital marketing data sources and performance metrics.
• Familiarity with ETL/ELT tools and workflow orchestrators (e.g., Google Data Transfer Services, Apache Airflow).
• Experience working with cloud data warehouses such as Google BigQuery, and Snowflake.
• Understanding of core machine learning concepts and data preparation best practices.
• Exposure to automating processes within the Google Workspace ecosystem (e.g., Google Sheets automation).

Description
Amazon Web Services (AWS) is currently hiring for an Engineering Technician to support our data centers. The Engineering Technician will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations.

The Data Center Engineering Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center. This equipment supports mission-critical servers and must maintain better than 99.999% uptime. The Data Center Engineering Technician will continue to maintain high reliability and performance while keeping operating costs in facilities at a minimum.

Engineering Technicians are Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot, Data Center Operation's Mission Critical Facilities, which includes stand-by diesel generators and related fuel systems, as well as three phase electrical systems such as: switch gear, UPSs, PDUs, wet cell batteries and associated systems, CRAC, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, & motors.

Key job responsibilities

Responsibilities

• Supervise contractors who perform servicing or preventive maintenance
• Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements
• Perform root cause analysis for operational issues
• Troubleshoot facility and rack level events
• Ensure all personnel on-site follow safety protocols
• Work on-call and a rotating schedule as needed
• Take daily operational readings and provide metrics reporting to senior engineers
• Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization

About The Team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Associates Degree or Technical Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
• Fluent in English language, both written and spoken
• 2+ working in a Data Center or Mission Critical Environment

Preferred Qualifications

• Bachelor's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
• 4+ years of Data Center Operation Experience
• Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
• 2+ with Microsoft Excel, Word, and Outlook

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Data Srvcs-Thailand

Job ID: A

Amazon Web Services (AWS) is currently hiring for an Engineering Technician to support our data centers. The Engineering Technician will help ensure overall availability and reliability to meet or exceed defined service levels of data center operations.

The Data Center Engineering Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center. This equipment supports mission-critical servers and must maintain better than 99.999% uptime. The Data Center Engineering Technician will continue to maintain high reliability and performance while keeping operating costs in facilities at a minimum.

Engineering Technicians are Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot, Data Center Operation's Mission Critical Facilities, which includes stand-by diesel generators and related fuel systems, as well as three phase electrical systems such as: switch gear, UPSs, PDUs, wet cell batteries and associated systems, CRAC, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, & motors.

Key job responsibilities

Responsibilities:

• Supervise contractors who perform servicing or preventive maintenance
• Perform limited maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements
• Perform root cause analysis for operational issues
• Troubleshoot facility and rack level events
• Ensure all personnel on-site follow safety protocols
• Work on-call and a rotating schedule as needed
• Take daily operational readings and provide metrics reporting to senior engineers
• Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization

A day in the life

The Data Center Technician will be responsible for ensuring the overall operation and maintenance of all electrical, mechanical, and HVAC equipment within the data center.

• Walk job sites in uneven terrain
• Work at heights and from ladders
• Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw
• Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41 pounds or more
• Carry objects weighing up to 40 pounds for short distances
• Work shifts longer than eight hours in duration

About the team

Engineering Technicians are Amazon's front line when it comes to hands-on electrical and mechanical equipment troubleshooting. They will maintain, operate, and troubleshoot, Data Center Operation's Mission Critical Facilities, which includes stand-by diesel generators and related fuel systems, as well as three phase electrical systems such as: switch gear, UPSs, PDUs, wet cell batteries and associated systems, CRAC, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, & motors.

• Associates Degree or Technical Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
• Strong communication skill
• 1-2 years working in a Data Center or Mission Critical Environment
• 1-2 years with Microsoft Excel, Word, and Outlook

• Bachelor's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline
• 1 years of Critical Facilities operation maintenance

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon is looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers

The Data Center Engineering Operation Senior Engineer is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating within contract parameters within third party Colocation facilities. Often this will be including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.

Key job responsibilities

• Establish performance benchmarks, conduct analysis, and prepare reports on all aspects of the critical facility operations and maintenance.
• Responsible for the on-site management of sub-contractors and vendors, ensuring that all work performed is in accordance with established practices and procedures.
• Manage relationship with third party Colocation providers and their facility staff.
• Responsible for the operation of and management of both routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Data Center capacity planning and reporting.
• Assist in the design and build out of new facilities.
• May assist in projects to increase current Facility efficiency.
• Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency.
• Deliver quality service and ensure all customer demands are met.
• Procurement for DCEO related expenditure.
• Responsible for asset and inventory management.

About The Team
Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 4+ years of relevant work experience in maintaining electrical, mechanical, HVAC, fire systems experience in a data center or critical space facility
• Ability to participate in a 24 x 7 rotating shift roster.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.

Preferred Qualifications

• Bachelor's Degree in either Electrical Engineering, HVAC, Mechanical Engineering or relevant technical (military/trade school) degree and relevant experience in a critical environment.
• Understanding of the electrical and mechanical systems used in a data center environment, including but not limited to DRUPS, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDUs, Chillers, AHUs and CRAC units.
• Experience in management of vendors/contractors performing construction, maintenance and upgrading works in large-scale critical environment

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Data Services (Thailand) Limited

Job ID: A

Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About The Role
We are building the next frontier of intelligent trading systems, leveraging AI Agents to autonomously handle complex workflows in fraud detection, customer support, risk monitoring, and operational decision-making. As a Data Scientist in AI Agent Engineering, you will design, build, and deploy production-grade multi-agent systems that reason, plan, and execute tasks at scale. You will work across agent orchestration, retrieval systems, safety guardrails, and MLOps to bring intelligent autonomy into our trading ecosystem.

Responsibilities

• AI Agent Development & Orchestration: Design and implement multi-agent systems to manage fraud detection, risk monitoring, and operational workflows. Build middleware, task delegation, and communication protocols for seamless agent interaction.
• RAG & Knowledge Systems: Develop retrieval-augmented generation (RAG) pipelines integrating real-time market, regulatory, and trading data. Build and maintain vector databases and semantic search systems that power contextual agent decision-making.
• Safety & Governance: Implement safety frameworks, guardrails, and human-in-the-loop approval systems. Monitor agent behaviour, detect anomalies, and enforce regulatory and business compliance.
• Agent CI/CD & Infrastructure: Develop agent testing, versioning, and deployment pipelines. Build A/B testing frameworks, rollback strategies, and monitoring systems to optimise production agents.
• Collaboration: Work closely with risk, infrastructure, and product teams to embed safety constraints, streamline agent-human interaction patterns, and adapt agent solutions to business needs.

Requirements

• 2+ years of experience in machine learning or AI systems development.
• Strong background in LLMs, prompt engineering, and AI Agent frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, etc.).
• Hands-on experience with RAG systems, vector databases, and real-time data integration.
• Proficiency in Python; familiarity with FastAPI, Celery, or Ray a plus.
• Experience with APIs (OpenAI, Anthropic) and LLM fine-tuning.
• Knowledge of big data tools (Spark, Kafka, Redis) and containerized environments (Docker, Kubernetes).
• AI Agent Specialization: Workflow design (planning, reasoning, tool use), guardrails and oversight frameworks, semantic search, monitoring, and rollback strategies.
• Background: Master's degree (or equivalent experience) in Data Science, AI Engineering, or Applied ML. Experience with large-scale, real-time systems; financial or trading domain knowledge preferred.
• Soft Skills: Strong problem-solving and communication skills, ability to work in fast-changing 0→1 environments, and a passion for AI agents, LLMs, and intelligent automation.

Why Binance

• Shape the future with the world's leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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