19 Etl Processes jobs in Thailand
Data Engineering
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Location:
Bangkok, Thailand
Rank:
All levels
Job Description
From smartphones to artificial intelligence, digital channels continue to drive how customers experience their brand. KPMG Thailand aims to help clients rethink their strategies and their business models so that they can embrace the latest digital thinking. This in turn will help them be more competitive and efficient.
KPMG technology and data team is helping banks, insurers and non-bank clients on their digital transformation journey to becoming data-driven organization. The team is involved in a comprehensive range of consulting services and solutions to our client focusing on data and technology domain as well as help client solving their strategic problems focused on improving performance and profitability.
Responsibilities
- Advise clients about current state data architecture and data sources and create an appropriate transition path to cloud-based platform
- Work with customer stakeholders in order to understand the implementation of database requirements, analyze performance, and troubleshoot any existent issues
- Coordinate customer stakeholders to gather and consolidate business/technical requirements for designing, developing and delivering the data solutions to business as the expected target
- Design and build large-scale enterprise data solutions and applications using one or more AZURE data and analytics services in combination with 3rd parties
- Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala
- Design and implement data engineering, ingestion, and curation functions on AZURE cloud using AZURE native or custom programming
- Development, maintenance, improvement, cleaning, and manipulation of data in the business's operational and large-scale processing systems architectures
Qualifications
What you will need:
We are looking for a motivated, technical minded individual with a track record of using modern technology stack to build data pipeline automation. A successful candidate should solid background in.
- Degree in Computer Engineering and Computer Science or equivalent experience
- Minimum 3 years of experience in full-life cycle development/implementation of enterprise data applications, big data technology, data analysis and system development
- 5-7 years of performing data exploration and feature engineering
- Experience (intermediate) as practitioner in Cloud Platform; AZURE (preferrable), AWS and GCP
- Experience in selecting and integrating any Big Data tools and frameworks to meet required capabilities
- Experience in building cloud data pipelines from ingestion to consumption
- Experience in Python, R, Tableau, Hadoop, SQL
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Experience with design and implementation of ETL/ELT framework for complex warehouses/marts
- Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization
- Excellent presentation skills, including strong oral and written capabilities in English
- Self-motivated, results-oriented individual with the ability to progress multiple priorities concurrently
Data Engineering
Posted today
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Job Description
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
Data Engineering Manager
Posted today
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Job Description
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.
Manager, Data Engineering
Posted today
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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).
ETL Developer
Posted today
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Job Description
Key Responsibilities:
- Assist in designing and developing ETL workflows to extract, transform, and load data from various sources.
- Support data integration tasks and help ensure data accuracy and consistency.
- Participate in testing and debugging ETL processes.
- Learn and apply best practices in data engineering and ETL development.
Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Minimum of 2 years of professional experience in software development, primarily with Python.
- Strong experience in ETL processes (extracting, transforming, and loading data).
- Proficiency in Python) for data manipulation and automation.
ETL Developer
Posted today
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Job Description
Job Title
: ETL Developer
Position type
: Full time
Place of work
: Bangkok, Silom
Salary
: Negotiable
Working conditions
: Working conditions are normal for an office environment.
Department/Function
: Business Intelligence Department
Reporting to Title
: Head of Department
The company and the mission:
BRED IT (Thailand) a wholly owned subsidiary of the French bank BRED Banque Populaire based out of Paris (BPCE Group).
BRED IT was established in 2008 with the objective to become the IT hub for BRED Group Commercial Banks in South East Asia, Pacific Ocean, and the Horn of Africa areas.
In parallel, BRED IT has expanded its activities since 2011 to also provide remote IT services to Paris Headquarters.
Today, with more than 200 employees, BRED IT fully supports Banque Franco Lao in Laos, BRED Bank Cambodia, BRED Bank Vanuatu, BRED Bank Solomon Islands, BRED Bank Fiji and Banque pour le commerce et l'industrie Mer Rouge (BCIMR) in Djibouti:
BRED IT hosts and manages all layers of BRED International Banks Information Systems: From Infrastructures to Applications (Core Banking, Internet/Mobile Banking, E-Payments…), on a 24x7 basis.
Half of the activity is currently performed for BRED Headquarters, with a focus on Projects (built with Java, COBOL, PHP, DataStage) and Production/Devops.
We are a unique company, thanks to our identity and our history: We place our expertise at the service of BRED Group and develop our activities with an entrepreneurial structure.
By putting BRED group best interests first, it allows us to deliver tailor-made solutions with high value-added.
Main Responsibilities:
· Responsible for :
o Develop ETL process including data warehouse, data mart.
o Analyze the business needs and propose technical solutions within bank projects
o Creating tests plans, problem-solving and correcting software defects.
o Adhering to in-house quality procedures.
· Be autonomous to make right technical decisions in the course of its duties.
· Constantly updating technical knowledge.
Education
- Bachelor's degree BSc. Computer Science. (mandatory)
Language skills
- Good command in English.
- French reading is a plus.
Experience and Skills:
- Strong proficiency with SQL programming (query, optimization)
- Team player, Open-minded, anticipation and speed adaptation.
- Strong Datawarehouse concepts
- Ability to work with Agile Method
- Ability to work effectively on tight deadlines.
- Rigor and organization skills are required, whilst working to tight deadlines
- A commitment to quality and a thorough approach to the work
- Willing to 'go the extra mile'
- Banking knowledge is a plus.
For ETL Developer:
- At least 3 years of development using an ETL systems.
What we offer:
- Attractive compensation (includes fixed and performance bonus)
- Hybrid working mode with 2 days work from home per week with flexible working hours
- Additional 10 days of work from anywhere per year
- Work from home allowance for you to buy equipment to facilitate working at home
- Standby and Overtime allowance for Level 2 support employees who are required to work on a 24x7 basis
- Annual leave from 14-25 days
- Provident Fund with competitive company contribution rates starting from 6% up to 12%
- Medical insurance and life insurance covering employee and dependent; spouse and child or children from your first day
- Outpatient Department (OPD) coverage of 2,500THB per visit for 31 visits per year.
- In Patient Department (IPD) coverage.
- Dental Care coverage of 4,000THB per year.
- Eye Care coverage of 5,000THB per year.
- Employee Assistance Program (EAP) providing mental support for colleagues to release stress and alleviate employee life problems.
- Learning and Development benefits.
- Staff wellness program and Monthly activities.
- Annual Health checkup benefits
ETL Developer
Posted today
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Job Description
Job Description:
- Analyze and interpret all complex data on all target systems and analyze and provide resolutions to all data issues
- Create and maintain data mapping between source data and target data models/repositories
- Design and create codes for all related data extraction, transformation and loading (ETL) into database under responsibilities
- Collaborate with all developers and business users to gather required data and execute all ETL programs
- Support SIT/UAT Testing and Production
Qualification:
- Bachelor Degree in Computer Science/Computer Engineer/Information Technology Only.
- Good knowledge of programming (PYTHON, JAVASCRIPT, SQL server, etc.)
- Good knowledge in SQL command and database management and concept (MS-SQL, Oracle, etc.)
- Good command of both written and spoken English
- If knowledge in SAS programming, SAS ETL Tools (DI, E-Guide, etc.) then it is special consideration.
Working Location:Operating at Sang Thong Thani Building (Sathorn) or Rama III
If you require more information,
please contact Khun Nichapa
Tel
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Internship - ETL Developer
Posted today
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Job Description:
- Working from Tuesday – Saturday to support the Bank.
- Support Data warehouse application (DataStage, Control-M, Linux).
- Participate in ETL/BI production support and development process.
- Build and maintain documents related to the task.
Qualification:
- Bachelor's or Master's degree in Computer Eng, Computer Science, IT or related fields.
- Fresh grad are welcome to apply.
- Knowledge in Database, Linux commands, and SQL.
- Knowledge of BI/ETL process and tools such as DataStage, Power BI is a plus.
- Other skill sets are a plus such as Snowflake, AWS, Python, Bash script, Java, JavaScript.
- Multitasking and willing to learn new things.
- Good communication skills and fluent in English.
Data Center Engineering Operations Engineer
Posted today
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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
Data Center Engineering Operations Engineer
Posted today
Job Viewed
Job 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
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.