306 Big Data jobs in Thailand
Cloud – Big Data Migration Engineer
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Business Unit
Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses.
What The Role Entails
Tencent Cloud is expanding its engineering presence in Southeast Asia and is looking for skilled and customer-oriented
Big Data Migration Engineer
to join our regional delivery team in Thailand. You will play a key role in supporting customers through complex data migration projects, ensuring the successful transfer of large-scale datasets from legacy systems or other cloud providers to Tencent Cloud's big data platforms. This role involves close collaboration with internal product teams and external clients to design, execute, and optimise migration strategies tailored to business needs.
Responsibilities:
- Assess customer data infrastructure and define end-to-end migration strategies tailored to business needs.
- Execute data migration projects involving open-source big data tools (e.g., Hadoop, Hive, Spark, Kafka, HBase) and big data products from mainstream cloud vendors (e.g., Databrick, Bigquery or Athena and redshift), from on-premises or public cloud environments to Tencent Cloud.
- Work closely with solution architects, product teams, and clients to ensure smooth data pipeline design, testing, execution, and optimization.
- Provide technical support during Proof of Concept (PoC), cutover, and post-migration validation phases.
- During the POC/migration process, standard processes and general solutions for different scenarios are summarized, and the best practices for POC migration are summarized;
- Monitor and troubleshoot performance or data consistency issues, ensuring minimal disruption during migration.
- Document technical solutions and workflows in both English and Thai for internal and client-facing communication.
Who We Look For
- Bachelor's degree or above in Computer Science, Data Engineering, or related fields.
- 3+ years of hands-on experience in big data platforms and data migration projects.
- Proficiency with distributed data systems such as Hadoop, Hive, Spark, Kafka, Flink, HBase, etc.
- Proficiency at least one of the big data products from mainstream cloud vendors, such as Databrick, Bigquery or Athena and redshift, etc.
- Familiarity with data migration solution of key distributed data systems and big data products from mainstream cloud vendors.
- Strong scripting skills (Python, Shell, or similar) to support data automation and validation.
- Fluent communication skills in both Thai and English, with the ability to produce clear technical documentation.
- Strong problem-solving mindset with the ability to work in fast-paced, cross-functional environments.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Project Manager for Big Data project
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We are looking for an experienced Big Data Project Manager to lead and oversee complex data infrastructure and analytics projects. This role requires managing cross-functional teams of data scientists, data engineers, and system administrators to ensure successful delivery of big data solutions that drive business value. If you thrive in challenging environments and enjoy steering large-scale projects to success, we want you on our team.
Key Responsibilities:- Define standards, processes, tools, and documentation to establish consistent project management practices across all big data initiatives.
- Plan, organize, and lead project teams through each stage of the chosen methodology, ensuring deliverables meet business goals and user needs.
- Communicate and promote the importance of project management best practices; provide training and knowledge-sharing sessions to strengthen project governance.
- Oversee, monitor, and control project progress to ensure timely and successful delivery, while providing regular status updates and reports to executives.
- Develop and manage project timelines, budgets, and resource allocation, ensuring smooth execution and alignment with organizational objectives.
- Provide expert guidance to teams and stakeholders on project management tools, methodologies, and problem-solving approaches.
- Continuously improve project management standards, processes, and tools to remain effective and aligned with organizational context.
- Manage project documentation and version control, ensuring accurate records, clear communication, and effective collaboration across related projects.
- Use project management tools effectively to track tasks, dependencies, and project performance.
- Act as the main point of contact for all project-related communication and coordination.
- Minimum 2 years of experience in IT or Project Management (experience in Big Data or large-scale software systems preferred).
- Strong understanding of SDLC, DevOps, or Data/Analytics project workflows.
- Proven ability to manage multiple projects simultaneously and deliver within deadlines.
- Excellent communication skills in both Thai and English (verbal, written, and presentation).
- Familiarity with big data infrastructure, cloud platforms, or large-scale software/data solutions is a plus.
- Hands-on experience with project management tools (e.g., Jira, MS Project or similar).
- Able to perform under pressure, resolve issues quickly, and adapt to fast-changing requirements.
- Detail-oriented, responsible, and eager to learn and adopt new technologies and tools to improve efficiency.
- Strong leadership, teamwork, and time management skills.
What you'll get:
- Health insurance coverage
- Annual performance bonus (great work gets rewarded)
- Travel allowance and per diem for on-site project work
- Company laptop provided
- Continuous training & professional development opportunities
- Be part of a supportive, collaborative, and growth-focused team
- Opportunity to work on high-impact big data projects with cutting-edge technologies
- Fun team activities: parties & trips (work hard, play hard)
- Cool company T-shirts
- Unlimited free snacks & treats
Data & Business Intelligence Manager (Cloud, Big Data, BI)
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We are seeking a
Data & BI Manager
to lead a team of data engineers and BI consultants in delivering cutting-edge solutions for a global enterprise. This role blends hands-on technical expertise with leadership, ensuring scalable cloud data platforms and impactful business intelligence.
You will manage projects across
data engineering (GCP, pipelines, automation)
and
business intelligence (Power BI dashboards, reporting, analytics)
, while coaching your team and collaborating with stakeholders across business and technology domains.
Key Responsibilities
- Lead and mentor a cross-functional team of Data Engineers and BI Consultants.
- Oversee the design, development, and optimization of
data pipelines
(Airflow, dbt, Python, SQL). - Manage cloud-based data infrastructure, preferably on
Google Cloud Platform
(BigQuery, Dataflow, Pub/Sub, Cloud Functions). - Drive best practices in data modeling, warehousing, and real-time data processing.
- Ensure delivery of high-performing, scalable
Power BI dashboards and reports
to support business decision-making. - Oversee performance tuning and troubleshooting of Power BI and BigQuery data models.
- Collaborate with stakeholders to gather business requirements and translate them into actionable data and BI solutions.
- Promote automation, DevOps, and governance in data and analytics environments.
- Stay updated on emerging cloud, BI, and data visualization technologies.
Requirements
- 7+ years of combined experience in
data engineering and business intelligence
. - 2+ years in a
team lead or managerial role
. - Strong expertise in SQL, Python, Airflow, dbt, and cloud platforms (GCP preferred; AWS/Azure also valued).
- Solid hands-on experience with
Power BI (DAX, DirectQuery, Composite Models, Performance Analysis)
. - Proven ability to design and maintain scalable data architectures and BI solutions.
- Excellent problem-solving, communication, and stakeholder management skills.
- Fluency in English (other languages a plus).
- (Optional) Cloud and/or BI certifications are an advantage.
What's Offered
- Permanent position with
competitive salary and benefits
. - Medical insurance and work-life balance initiatives.
- Friendly, open, and international work environment.
- Sponsored team events and ongoing professional training.
- Career growth opportunities with exposure to global projects.
Data & Business Intelligence Manager (Cloud, Big Data, & BI)
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More than just a recruitment company. At PRTR, we have been a part of our customer's success for 30 years as their total HR solutions partner. With 550 dedicated professionals and over 15,000 outsourced staff, we will continue to carry out our mission to develop a better career, a better life, and a better society, and thrive to become the No.1 people solutions organization in Southeast Asia.
We are seeking a Data & BI Manager to lead a team of data engineers and BI consultants in delivering cutting-edge solutions for a global enterprise. This role blends hands-on technical expertise with leadership, ensuring scalable cloud data platforms and impactful business intelligence.
You will manage projects across data engineering (GCP, pipelines, automation) and business intelligence (Power BI dashboards, reporting, analytics), while coaching your team and collaborating with stakeholders across business and technology domains.
Key Responsibilities
- Leading and mentoring a cross-functional team of Data Engineers and BI Consultants.
- Overseeing the design, development, and optimization of data pipelines (Airflow, dbt, Python, SQL).
- Managing cloud-based data infrastructure, preferably on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Functions).
- Driving best practices in data modeling, warehousing, and real-time data processing.
- Ensuring delivery of high-performing, scalable Power BI dashboards and reports to support business decision-making.
- Overseeing performance tuning and troubleshooting of Power BI and BigQuery data models.
- Collaborating with stakeholders to gather business requirements and translating them into actionable data and BI solutions.
- Promoting automation, DevOps, and governance in data and analytics environments.
- Staying updated on emerging cloud, BI, and data visualization technologies.
Requirements
- Having 7+ years of combined experience in data engineering and business intelligence.
- Having 2+ years of experience in a team lead or managerial role.
- Demonstrating strong expertise in SQL, Python, Airflow, dbt, and cloud platforms (GCP preferred; AWS/Azure also valued).
- Showing solid hands-on experience with Power BI (DAX, DirectQuery, Composite Models, Performance Analysis).
- Proving ability to design and maintain scalable data architectures and BI solutions.
- Demonstrating excellent problem-solving, communication, and stakeholder management skills.
- Being fluent in English (other languages a plus).
- Holding cloud and/or BI certifications is considered an advantage.
What's Offered
- Permanent position with a competitive salary and benefits.
- Medical insurance and work-life balance initiatives.
- Friendly, open, and international work environment.
- Sponsored team events and ongoing professional training.
- Career growth opportunities with exposure to global projects.
Cloud Data Platform, Big Data, Datawarehouse, and BI Consultant
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Join Our Team at Inteltion
Responsibilities:
- Business Analyst/System Analyst: Gather requirements, develop functional specifications, design data models, create reports/dashboards, understand source systems, document data mapping, create test documents, and assist in deployment.
- Data Engineer: Develop and test solutions using Azure, Databricks, AWS, GCP, Cloudera, Oracle DB, and other enterprise tools.
- BI Consultant : Design, develop, and test solutions using Tableau, PowerBI, and other enterprise tools.
Requirements:
- Strong analytical and problem-solving skills.
- Professional skills, including establishing personal credibility, strong oral and written communication, driving value, and maximizing team performance.
- Deep expertise in analyzing complex database queries.
- Experience in Cloud processing, ETL, or BI design and development.
- Good knowledge of Azure, AWS, Databricks, GCP, Informatica, DataStage, Tableau, PowerBI, Cloudera, or other enterprise tools.
- Proficiency in English communication and writing is a plus.
At Inteltion, we are one of Thailand's top three Data & AI companies—a team of innovators, problem solvers, and forward-thinkers passionate about data, AI, and digital transformation. We partner with the majority of Thailand's top 100 enterprises across various industries, helping them unlock the power of data and AI.
Innovate with Cutting-Edge TechnologiesWork on state-of-the-art AI, Generative AI, Data Engineering, and Data Visualization projects, leveraging the latest tools and frameworks to build impactful, real-world solutions for top-tier enterprises.
Collaborate with Industry Leaders & ExpertsWork alongside top minds in AI, Machine Learning, Big Data, and Cloud Computing, delivering Data&AI-driven solutions at scale for major corporations in Thailand.
Career Growth
We believe in continuous learning—whether it's through mentorship, certifications, conferences, or hands-on projects, we ensure you stay ahead in your field.
At Inteltion, we offer a competitive compensation package with performance-based bonuses, flexible work options, and comprehensive benefits to support your personal and professional growth.
- Provident Fund – Secure your future with our long-term financial planning support.
- Health Insurance – Comprehensive coverage to prioritize your health and well-being.
- Vacation Leave – Generous leave policy to ensure you get the rest you need.
- Flexible Fund for Health & Education – Annual fund to support additional health and learning expenses.
- Online Learning Access – Exclusive access to enterprise training platforms for continuous skill development.
- Overseas Outings & Social Events – International trips and social events to foster team bonding. Past destinations include Bali, Osaka, Shanghai, Okinawa, Tokyo, Taiwan, Hong Kong, Singapore, Maldives, Seoul, and Macau.
- Fun Activities – Enjoy company-wide activities, including a Lottery game every 1st and 16th of the month, with chances to win exciting prizes
At Inteltion, we don't just follow trends—we create them. Join us and be a part of the future of Data & AI innovation
Data Management
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We're looking for a talented and driven Data Management and MIS Manager to overseeing the implementation and execution of enterprise-wide data management initiatives. This includes ensuring data quality, establishing data governance practices, defining ownership and stewardship roles, and building processes and tools that enable trusted, compliant, and accessible data across the organization.
This is a great opportunity for someone who's passionate about data infrastructure, analytics, and leading a high-performing team in the insurance space.
Key Responsibilities
- Data Governance & Compliance: Implement governance practices across customer, product, policy, and claims data domains, ensuring accountability, ownership, and adherence to policies, standards, and regulations.
- Data Quality Management: Define and monitor data quality KPIs, lead root cause analysis, and oversee remediation, profiling, validation, and issue tracking processes.
- Metadata & Documentation: Develop and maintain the business glossary, data dictionary, metadata standards, and ensure full traceability of data lineage across systems.
- Stakeholder Collaboration & Training: Act as a liaison between business, IT, compliance, and analytics teams while providing guidance and training to data owners, stewards, and analysts.
- Technology & Integration: Support the evaluation, adoption, and implementation of data management tools, coordinating with IT and architecture teams to enable integration and governance capabilities.
- Reporting & Audit Support: Prepare and present data governance dashboards and quality reports to senior stakeholders, while supporting audits, regulatory reviews, and compliance requests.
Qualifications
- Bachelor's or Master's degree in Information Management, Computer Science, Business Administration, or related field
- 6+ years of experience in data management, data governance, or data quality roles
- Strong understanding of data governance frameworks (e.g., DAMA-DMBOK) and best practices
- Experience with metadata/data catalog platforms and data quality tools (e.g., Informatica, Collibra, Talend, Microsoft Purview)
- Excellent project management, communication, and stakeholder engagement skills
- Familiarity with data privacy regulations (e.g., PDPA, GDPR) is a plus
- Background in financial services or insurance industry is an advantage
Key highlight benefits that you will get when you become our AXA's happy family:
International work environment within Diversity & Inclusion
Enjoy flexible working lifestyle (Flexi time & Hybrid Work)
Long-term saving & Flexi investment
Medical & Well-being programs
Digital learning platform to grow your potential
Good location: Siam Patumwan House (Near BTS National Stadium)
We offer excellent career prospects and attractive remuneration package to the right candidates. All application will be treated in the strictest confidential.
AXA is an equal opportunity employer and encourages individuals with disabilities to apply.
By submitting your CV to AXA, you acknowledge and agree on all the information set forth in the AXA Privacy Policy which can be found
Data Management
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About TrueMoney
TrueMoney is a leading international fintech brand providing innovative payment and financial services across seven countries in Southeast Asia. With its user-friendly digital platform, extensive agent network, and comprehensive offline and online services, TrueMoney empowers millions of users to make easy, secure payments and enjoy a more convenient financial lifestyle.
Since its establishment, TrueMoney has grown to become the most popular digital financial application in the region, playing a central role in expanding access to financial services and improving quality of life for individuals and MSME communities.
TrueMoney is part of Ascend Money, a regional digital financial services company founded in 2013, which reached a major milestone by becoming Thailand's first fintech unicorn in 2021.
Senior Data management Job DescriptionWe are looking for a Senior Data management who has strong SQL and has worked in Data preparation, Data model and warehouse project implementation, and MLOps. You will work closely with Data Analytics and Data scientists to develop and support the projects. If you are seeking to work in a multicultural work environment and Big data and AI environment, this job is for you.
Responsibilities
- Collaborate with Analytics and Data Science teams to understand business needs and translate them into data requirements.
- Analyze and understand existing data sources and database structures used for analytics.
- Explore data from multiple perspectives to identify key factors that impact business objectives.
- Prepare data for modeling, including cleansing and aggregation.
- Design and develop reliable, stable, and efficient data marts to support the TrueMoney Wallet business.
- Create and maintain ETL jobs and data pipelines.
- Monitor data quality and ensure it meets defined SLAs.
- Implement streaming analytics processes (e.g., data quality, transformation, aggregation) based on business requirements.
- Support and maintain MLOps pipelines.
- Establish secure and efficient procedures for data management and analysis, with attention to technical best practices.
Qualifications:
- Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field.
- Minimum of 5 years' experience in data modeling and data management.
- Strong command of English, both written and spoken.
Skills & proficiencies:
- Expertise in data warehouse design and implementation.
- Proficient in SQL and data manipulation.
- Familiarity with modern Big Data technologies is a plus.
- Experience working with large-scale data analysis, dashboards, and reporting tools is preferred.
- Strong analytical and problem-solving skills.
- Excellent communication, collaboration, and interpersonal skills.
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Data Management
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Data Management
ปฎิบัติงานยัง บริษัท Infinitas by Krungthai
Job Summary
We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
Key Responsibilities
- Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
- Utilize SQL to perform complex queries, data extraction, and manipulation.
- Analyze and interpret large datasets to identify trends and insights that drive business decisions.
- Ensure data quality, integrity, and security across all managed databases.
- Collaborate with cross-functional teams to understand data needs and deliver effective data management
solutions.
- Implement and monitor data management policies and procedures.
- Optimize database performance and troubleshoot issues as they arise.
- Leverage big data technologies such as Spark to process and analyze large datasets.
- Develop and maintain ETL processes to ensure seamless data flow between systems.
- Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
Required Skills and Qualifications
- Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
- Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
- Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
- Database management systems: Hands-on experience with systems like MySQL.
- Big data technologies: Experience with technologies such as Spark.
- Python programming: Proficiency in Python for data manipulation and analysis.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Attention to detail and commitment to maintaining high data quality standards.
- Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
Education & Experience
- Bachelor's degree or higher in Statistics, Computer Science, Mathematics, or related field
- Minimum 3 years experience in retail lending or similar role
Additional Requirements
- Experience with data visualization tools (Tableau, Power BI)
- Ability to work collaboratively with cross-functional teams
Contact : K.Panyatip
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Data Management
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About The Company
About the job Data Management & Analytics (All level)
ABeam Consulting (Thailand) Ltd. is a subsidiary of ABeam Consulting Ltd. headquartered in Tokyo, we have 6,600 Consultants in territories across the world, serve more than 200 clients and cover various industries, strong in Automotive, Consumer Packaged Goods, Food & Beverage, and Leasing, offering End-to-End Service to support our clients to realize their Business Transformation.
We are Number One SAP Partner in Asia and one of the largest Consulting firms in Thailand.
About Our Data Management & Analytics Team
Our Data Management & Analytics Business Unit offers a one-stop data management service to transform businesses through effective data utilization. Data management roadmaps are used to analyze the current situation of our clients based on industry trends, based on which we evaluate the level of data maturity and then create a road map for data utilization, system re-structuring and organizational reform if necessary.
Based on more than 100 data analysis cases, we also support advanced data analytics, including topics like the selection and launch of AI services, training programs and other organization setups that clients would prefer to execute in-house.
Finally, we offer support for full data management platform constructions by combining dashboards, analysis tools, ETL tools, DWH, and others, to supply you with the optimal platform for each individual situation.
Responsibilities
About the job
- As part of Data Management & Analytics team, you will engage in consulting business with area of: Database and ETL development, BI dashboards development, Project Management, Data Governance, and General IT Skills.
- Some of the tasks we might expect you to do:
- Lead data related initiatives including business strategy development, proposal development and end-to-end Project delivery planning
- Manage multiple project teams, define and schedule project tasks / sub-tasks, and ensure their timely completion within the planned timeline and budget.
- Track and report project progress in an effective way and recommend the next course of actions to management team and decision makers across various functional groups
- Have general understanding of IT tools used for documentation, analysis and presenting results in Corporate environment
Qualifications
- Have at least 3 10 years of general Project/Program management experience
- Have experience in database related projects, including data warehousing & business intelligence
- Having agile project management methodologies experience will be an advantage
- Have pro-active business development mindset with up to date understanding of latest trends, technologies and consumer needs.
- Have strong networking and clients relationship building skills
- Experience in business development or develop solutions to clients
- Good logical thinking
- Strong communication skills (verbal and written), including the ability to effectively communicate with both technical and non-technical teams
- Good in English and Thai communication
เจ้าหน้าที่วิเคราะห์และจัดการข้อมูลการตลาด (Data analysis & management)
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ขอบเขตหน้าที่ความรับผิดชอบ
รวบรวม ตีความ และวิเคราะห์ข้อมูลทางการตลาด เพื่อให้ได้ข้อมูลเชิงลึกที่นำไปใช้ประกอบการตัดสินใจเชิงกลยุทธ์สำหรับผลิตภัณฑ์ทุกประเภท ระบุแนวโน้ม และเพิ่มประสิทธิภาพความพยายามทางการตลาดเพื่อขับเคลื่อนการเติบโตของธุรกิจ
ความรับผิดชอบหลัก
- การวิเคราะห์ข้อมูลและสร้างข้อมูลเชิงลึก : รวบรวมและวิเคราะห์ข้อมูลทางการตลาดจากหลายแหล่งเพื่อระบุแนวโน้มและโอกาสทางธุรกิจ
- การรายงานและนำเสนอผล : สร้างรายงานและแดชบอร์ดอัตโนมัติเพื่อสื่อสารผลการวิเคราะห์และข้อมูลเชิงลึกให้ทีมการตลาด และหน่วยงานที่เกี่ยวข้องเข้าใจได้อย่างชัดเจน
- การสนับสนุนการตัดสินใจเชิงกลยุทธ์ : แปลข้อมูลที่ซับซ้อนให้เป็นข้อเสนอแนะที่นำไปปฏิบัติได้จริง เพื่อเพิ่มประสิทธิภาพแคมเปญและประสบการณ์ลูกค้า
- การพยากรณ์และพัฒนาแบบจำลอง : ช่วยเหลือในการสร้างแบบจำลองเพื่อคาดการณ์พฤติกรรมลูกค้า ยอดขาย และประสิทธิภาพของแคมเปญในอนาคต
- การปรับปรุงอย่างต่อเนื่อง : ดำเนินการวิเคราะห์ A/B Testing และให้ข้อมูลเชิงลึกเพื่อการปรับปรุงกลยุทธ์และแคมเปญการตลาดอย่างสม่ำเสมอ
คุณสมบัติ
- วุฒิปริญญาตรี สาขาการตลาด บริหารธุรกิจ สถิติ วิทยาศาสตร์ข้อมูล หรือสาขาที่เกี่ยวข้อง
- ประสบการณ์ทำงานด้านการวิเคราะห์ข้อมูล 3-5 ปีขึ้นไป โดยมีประสบการณ์ด้านข้อมูลการตลาดอย่างน้อย 1-2 ปี
- มีผลงานที่พิสูจน์ได้ในการนำเสนอข้อมูลเชิงลึกที่นำไปปฏิบัติได้จริงผ่านการวิเคราะห์ข้อมูล
- มีทักษะการวิเคราะห์ที่แข็งแกร่ง พร้อมความเชี่ยวชาญในการใช้เครื่องมือแสดงข้อมูล (เช่น Tableau, Power BI) ภาษาโปรแกรม (เช่น SQL, Python, R) และ AI สำหรับการวิเคราะห์ สรุปข้อมูล (เช่น GPT, Gemini)
- มีทักษะการแก้ปัญหา การสื่อสาร และการนำเสนอที่ยอดเยี่ยม
- ใช้ภาษาอังกฤษระดับการสื่อสารเพื่อประสานงานได้