132 Data Professional jobs in Thailand

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

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).

Job Description:

• Manage and lead a team of data analysts in applying advanced analytics to audit and assurance activities.

• Drive the use of AI/ML techniques (e.g., anomaly detection, behavioral modeling, predictive risk scoring) to identify suspicious or unusual patterns of activity.

• Collaborate with auditors to integrate data-driven insights into audit planning, execution, and reporting.

• Promote innovation by introducing new tools, methods, and technologies into the audit analytics function.

• Act as a trusted advisor to senior management on emerging risks, fraud trends, and digital transformation in audit

• Support the Department Head in preparing Thai and English versions of Monthly Reports and Quarterly Reports for SMT, the Audit Committee, and others.

• Timely perform ad-hoc assignments (projects or special audits) assigned by the Department Head or higher. This requires holistic, initiative, innovative, and analytical skills to perform the assigned tasks timely, with good quality and added value.

• People Development - develop and improve the skills, knowledge, and expertise of team members by providing them with appropriate training courses and advice during work review.

• Support the Department Head by serving as an expert in data analytics using modern auditors' tools and providing knowledge of various data sources for the Internal Audit Group

Qualifications:

• Bachelor's degree in business, mathematics, computer science, or management information systems.

• 5-10 years of relevant/recent data analysis experience in audit, financial, risk management, or technology functions.

• Strong quantitative, analytical, data intuition, and problem-solving skills, and proficiency in data analytics techniques.

• Hands-on knowledge of AI/ML applications in risk, fraud, or audit contexts.

• Familiarity with audit methodologies, risk frameworks, and financial industry regulations.

• Able to manage a team under pressure and deadlines.

• Proficient in computer literacy, especially tools for data analytics.

• Good command of English, both written and spoken

Talent Acquisition Department Bank of Ayudhya Public Company Limited

1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120

สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center Ext.82811

Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.

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Remark:The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

**Only shortlisted candidates will be contacted"

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Manage and plan the data direction and strategy for business need.

Drive successful of data insight initiatives and effective collaboration with stakeholders.

Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.

Create reports and dashboards based on data mining, evaluation, analysis, and visualization.

Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.

Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement.

Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Operations Research, Informatics, Information Systems, or related fields.

Experience in programming and SQL.

Proficient in data analytics tools.

Job skills required: Statistics, SQL, Research

Data Analytics - Mobile Banking

Responsibilities:

• Analyze customer data, behaviors, and journeys to develop marketing and engagement strategies.
• Design and monitor KPIs/metrics to measure campaign effectiveness.
• Build reports and dashboards to provide actionable insights for marketing teams and management.
• Research and evaluate market trends, competitors, and consumer insights using both internal and external data.
• Collaborate with Content and Campaign teams to provide data-driven recommendations.
• Communicate complex data insights clearly and effectively to non-technical stakeholders, enabling better decision-making.

Qualifications:

• Bachelor's or Master's degree in Marketing, Statistics, Data Science, or related fields.
• Experience in Data Analytics, Marketing Analytics, or CRM Analytics.
• Proficiency in data tools such as Excel, SQL, Google Analytics, Power BI, or Tableau.
• Strong communication and presentation skills to translate analytical findings into actionable business insights.

Working Location: Head Office Silom

For more information, please contact K.PornphunTel

Responsibilities

• Manage and plan the data direction and strategy for business need
• Drive successful of data insight initiatives and effective collaboration with stakeholders.
• Analyze business requirements and identify business problems into an analytics question and gain a deep understanding of models and algorithms capability and limitations.
• Create reports and dashboards based on data mining, evaluation, analysis, and visualization.
• Collaborate with key stakeholders including the Executive, Business Units, Data and IT teams to identify opportunities for leveraging company data to drive business solutions.
• Coordinate with the software developers, data engineers and data scientists to oversee the delivery of analytics solutions and formulate strategy for technology adoption and impact measurement

Minimum qualifications :

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Operations Research, Informatics, Information Systems, or related fields
• Experience in programming and SQL
• Proficient in data analytics tools