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We are seeking a passionate and skilled Data Engineer to join our dynamic Data Collection Team at cube-asia. In this role, you will play a crucial part in designing and implementing data pipelines that facilitate seamless data collection and processing.
You will collaborate with cross-functional teams to ensure the integrity and accessibility of data, utilizing state-of-the-art technologies to optimize performance and scalability. If you thrive in a fast-paced environment and are eager to contribute to innovative data solutions, we want to hear from you!
We are seeking a passionate and skilled Data Engineer to join our dynamic Data Collection Team at cube-asia. In this role, you will play a crucial part in designing and implementing data pipelines that facilitate seamless data collection and processing.You will collaborate with cross-functional teams to ensure the integrity and accessibility of data, utilizi…
Overview:Join our dynamic team at Join Makro as a Data Scientist, where your analytical skills will drive impactful decisions in the retail sector. We are looking for a passionate individual with a minimum of 2 years of experience in data science, specializing in data analysis, predictive modeling, and machine learning. Familiarity with MLOps, feature engineering, and data engineering workflows is highly advantageous.Key ResponsibilitiesData Analysis: Gather, preprocess, and scrutinize extensive datasets to unveil trends and actionable insights that tackle retail challenges.Model Development: Construct, train, and implement machine learning models for applications such as demand forecasting, customer behavior analysis, and inventory optimization.Collaboration: Collaborate with interdisciplinary teams, including data engineers and business stakeholders, to turn requirements into data-driven solutions.Visualization and Communication: Effectively present insights and findings using visualizations and dashboards to enhance decision-making processes.Innovation: Keep abreast of the latest tools and techniques in data science and retail analytics.Optional Responsibilities (for experienced candidates):Feature Engineering: Optimize and engineer features to enhance machine learning model performance, and automate feature extraction pipelines for scalable operations.MLOps: Engage in the deployment, monitoring, and retraining of machine learning models within production environments.Data Engineering: Assist in the design and maintenance of data pipelines while ensuring data integrity.QualificationsEducation: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.Experience: Minimum of 2 years in data science or a comparable field.Technical Skills:Expertise in Python for data analysis and machine learning.Strong SQL capabilities for managing and querying large datasets.Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).Soft Skills: Exceptional problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).Knowledge of data engineering tools (e.g., Apache Spark, Kafka, Airflow).Experience in developing real-time analytics or personalization systems.
Join joinmakropro as a Senior Manager in our Business Intelligence (BI) and Data Engineering team. In this pivotal role, you will spearhead the Business Report Development initiatives for CP Axtra’s BIC, overseeing the planning, execution, governance, and dependability of enterprise business reporting across Makro/Lotus. Collaborate closely with Data Engineering Operations and business stakeholders to ensure BIC dashboards and reports are reliable, timely, and trusted. You will also coordinate incident triage and service level agreement (SLA) communications.Key Responsibilities:1) Reporting & Delivery:Lead the end-to-end delivery of BIC dashboards and scheduled reports. Establish standards for data modeling, DAX/SQL patterns, performance, and release processes.Conduct root cause analysis (RCA) for discrepancies and document corrective actions.2) Platform Operations & SLA:Manage daily and weekly SLA communications with Data Operations and vendors, covering delays, pipeline statuses, estimated time of arrival (ETA), and stakeholder notifications.Ensure preparedness for month-end and quarter-end processes.3) Governance & Security:Incorporate BIC governance practices such as access management, row-level security (RLS), object-level security, and workspace standards, aligning with the directives of the CP Axtra Data Governance Committee.4) Stakeholder Management:Serve as the primary liaison for business owners across Operations, Finance, Commercial, and other departments, effectively communicating changes, incidents, and delivery timelines to diverse stakeholder groups.5) Leadership & Team Enablement:Mentor analysts and BI developers on best practices and standards; manage transition plans and handovers when ownership changes.
Join Cube Asia as a Data Engineer, where you will leverage diverse methodologies to convert raw data into impactful data systems. Your role will focus on enhancing efficiency by ensuring that our data systems align with business objectives.Success in this role requires a solid background in large-scale public data collection from web sources, utilizing open APIs and various tools. A comprehensive understanding of the regulations and technical aspects surrounding such data collection is essential.Familiarity with multiple programming languages and a foundational knowledge of machine learning techniques are also crucial. If you are detail-oriented, possess strong organizational skills, and have experience in this domain, we want to hear from you!
Join Agoda’s Display Marketing Team as a Senior Data Engineer, where you will drive data-driven decision-making and enhance our marketing strategies through sophisticated data pipelines and analytical solutions. As a key member of our team, you will collaborate with marketing professionals to design, develop, and implement robust data architectures that facilitate seamless data flow and accessibility.
Join Data Wow as a Data Engineer, where you'll collaborate with a talented team of Data Scientists and Data Analysts to design and implement robust data pipelines. This role offers the opportunity to work with cutting-edge data warehouse technologies and data ingestion tools while creating innovative proof of concept products tailored for our clients. You'll be an integral part of a dynamic team dedicated to delivering impactful data-driven solutions.Key Responsibilities Design, maintain, and optimize diverse data pipelines to ensure efficiency and reliability. Utilize data ingestion tools to streamline data acquisition. Enhance data warehouse performance and optimize resource utilization. Collaborate with Data Scientists to create proof of concept products that leverage machine learning models. Explore and implement new methodologies to improve existing data architecture.
Join our dynamic team at joinmakropro as a Senior Data Engineer! We are looking for a seasoned professional with a proven track record in data engineering to architect, execute, and sustain our data infrastructure and processing pipelines. The ideal candidate will possess a robust background in big data technologies, cloud platforms, and data engineering practices. You will collaborate closely with data scientists, analysts, and various stakeholders to deliver efficient and dependable data solutions. A proactive mindset and a commitment to excellence are essential.Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes.Implement and optimize data storage solutions, including data warehouses and data lakes.Work alongside data scientists and analysts to comprehend data needs and facilitate efficient data access.Guarantee data quality, consistency, and reliability across all systems.Create and maintain data models and schemas.Establish data security and access control protocols.Enhance query performance and data retrieval processes.Assess and incorporate new data technologies and tools.Guide junior data engineers and provide technical mentorship.Collaborate with cross-functional teams to advance data-driven decision-making.
JoinMakroPro is on the lookout for a skilled Data Engineer who can effectively design, implement, and maintain robust data infrastructure and pipelines. The successful candidate will possess a solid foundation in data engineering, expertise in big data technologies, and proficiency in cloud platforms. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to deliver efficient and reliable data processing and storage solutions.Key Responsibilities: Architect, develop, and sustain scalable data pipelines and ETL processes. Optimize and implement data storage solutions, such as data warehouses and data lakes. Work hand-in-hand with data scientists and analysts to grasp data needs and facilitate efficient data access. Guarantee data integrity, consistency, and reliability across all data systems. Create and uphold data models and schemas. Establish data security and access control protocols. Enhance query performance and data retrieval methods. Assess and incorporate emerging data technologies and tools. Guide junior data engineers and offer technical leadership. Collaborate with cross-functional teams to bolster data-driven decision-making.
Join our dynamic team at joinmakropro as a Senior Data Engineer, where you will play a crucial role in shaping our data infrastructure. We are looking for a highly skilled professional to spearhead the design, implementation, and maintenance of robust data pipelines and systems. You will collaborate with data scientists, analysts, and various stakeholders to ensure that our data processing and storage solutions are efficient and reliable.Key Responsibilities:Architect, develop, and maintain scalable data pipelines and ETL processes to support our analytics initiatives.Implement and enhance data storage solutions, including data warehouses and data lakes, to optimize data accessibility.Work closely with data scientists and analysts to gather data requirements and facilitate efficient data access.Guarantee data quality, consistency, and reliability across all platforms.Design and maintain comprehensive data models and schemas.Establish data security protocols and access control measures to protect sensitive information.Improve query performance and streamline data retrieval processes.Assess and integrate cutting-edge data technologies and tools.Provide mentorship to junior data engineers and foster their professional growth.Collaborate with cross-functional teams to enable data-driven decision-making.
Join aCommerce as a Data Engineer and play a pivotal role in constructing, optimizing, and sustaining robust data pipelines. You will also design innovative data models within our Data Platform, empowering analysts to drive critical business outcomes in our data-driven environment. In this role, you will leverage our cloud-based Big Data Platform to analyze both structured and unstructured marketplace data from various sources, enabling effective data utilization. You will be tasked with strategizing the optimal use of all data extracted from these diverse marketplaces. Collaboration will be key as you work closely with application teams and product managers to ensure alignment with business objectives and the overall roadmap.
Join our dynamic team at tsmg as a Junior Team Lead, where you'll play a pivotal role in managing and supporting data collection projects. This exciting position involves coordinating dedicated field teams, ensuring that project milestones are achieved, and utilizing your insights into the local market to enhance participant recruitment and maintain high data quality standards. This is a fantastic opportunity for an early-career professional to cultivate leadership abilities while contributing to meaningful research and operational advancements.
Your RoleAs the Department Manager of Makro’s Other Income (OI) team, you will spearhead initiatives focusing on online media and data monetization, aiming to enhance non-trade revenue streams. This pivotal position involves strategizing and leading the OI team dedicated to leveraging proprietary data and digital media assets. You will oversee the complete commercialization process—from guiding the internal data analytics team in analysis and product development to crafting competitive sales strategies and packaging Makro’s online media offerings. Collaborating with advertisers, agencies, and third-party partners, you will deliver impactful offerings that solidify Makro's position as a leader in the online media and data monetization landscape. Formulate and execute strategies for monetizing Makro’s online media and data assets, including Makro PRO. Translate customer and advertiser needs into actionable insights for data analysis and product development, working closely with the internal analytics team. Create competitive and insight-driven online advertising and data products, benchmarking against industry competitors while showcasing Makro’s unique digital capabilities. Develop enticing proposals for Makro’s digital media inventory that cater to advertiser needs and maximize revenue potential. Foster and maintain robust relationships with advertisers, agencies, and third-party partners to drive sales growth. Lead negotiations, product bundling strategies, pricing, and revenue forecasting for online media and data monetization projects. Establish, track, and report on KPIs to monitor sales performance and optimize monetization strategies. Work collaboratively with the in-store OI team to create integrated packages that enhance synergies between online and offline media assets.
Join our dynamic team at joinmakropro as an Oracle Retail Analytics Data Warehouse Engineer. In this pivotal role, you will design, develop, and support robust analytics and reporting solutions for our retail data. We're seeking a candidate with a proven track record in Oracle Retail Analytics, OBIEE, BI Publisher, and Oracle Data Integrator, complemented by strong data engineering expertise.Key Responsibilities:1) Data Warehouse & Analytics:- Architect, implement, and sustain Oracle Retail Analytics Data Warehouse solutions.- Create and refine dimensional models including fact and dimension tables.- Guarantee data integrity, consistency, and high performance.2) ETL / Data Integration:- Design and manage ETL pipelines utilizing Oracle Data Integrator (ODI).- Seamlessly integrate data from various retail systems such as POS, merchandising, and supply chain.- Enforce data quality standards and enhance ETL efficiency.3) Reporting & BI:- Construct insightful dashboards using Oracle Business Intelligence Enterprise Edition (OBIEE).- Generate operational and management reports via BI Publisher (BIP).- Convert business needs into actionable analytics solutions.4) Data Engineering:- Demonstrate strong SQL and PL/SQL skills for data transformation and optimization.- Efficiently manage large datasets.- Follow best practices for data modeling and query performance.5) Operations & Support:- Oversee data loads and reporting functions.- Diagnose production issues and alleviate performance bottlenecks.
We are seeking a dedicated and proactive Data Service Engineer to optimize the functionality of our company’s data ecosystem. This pivotal role involves monitoring data workflows, troubleshooting operational challenges, assisting business users with data inquiries, and fostering collaboration across various technical and business teams. The ideal candidate will possess a keen eye for detail, a service-oriented mindset, and the ability to thrive in a dynamic, cross-functional environment.Key Responsibilities Oversee and manage data ingestion and ETL processes sourced from multiple channels. Continuously enhance data operational workflows and propose solutions to recurring challenges. Develop SQL queries for data extraction, validation, and manipulation from databases. Address incident tickets and coordinate issue resolution by liaising with relevant domain teams. Assist business users with data extraction, validation, and ad hoc requests. Investigate and resolve data anomalies in partnership with relevant teams. Proactively provide daily reports on incidents and operational summaries to the team.
Agoda is seeking a Senior Data Platform Engineer based in Bangkok, Thailand. This role centers on shaping and strengthening the company’s data infrastructure to support business analytics and improve how teams access data. What you will do Design, build, and maintain data systems that serve the organization’s analytical needs Work to improve data accessibility for teams across Agoda Collaboration Work closely with other skilled professionals to develop and refine data solutions. The environment encourages sharing ideas and learning from peers. Technology This position involves working with modern data technologies as part of efforts to advance Agoda’s data platform.
Join agoda as a Senior/Staff Data Platform Engineer and play a pivotal role in shaping our data infrastructure. We are looking for seasoned engineers passionate about data platforms, eager to tackle challenging problems, and to innovate within a dynamic team environment. You will have the opportunity to work with cutting-edge technologies and contribute to enhancing our data processing capabilities while ensuring high availability and scalability.
Veeam is the Data and AI Trust Company, focusing on empowering organizations to fully comprehend, secure, and sustain their data and AI, facilitating the safe scaling of AI initiatives. As an industry leader in data resilience and security posture management, Veeam is engineered for the intersection of identity, data, security, and AI risks. With its headquarters in Seattle and operations in over 30 countries, Veeam safeguards over 550,000 customers globally, who rely on us to maintain their business continuity. Join us in our fearless journey forward, as we grow, learn, and make a significant impact for some of the world’s largest brands.About the RoleThe Team Lead, Systems Engineering is responsible for guiding a team of skilled Systems Engineers in delivering consistent technical execution, achieving strong customer outcomes, and generating measurable business impact across designated regions or segments.This position requires a balance of people leadership, operational execution, and technical oversight. It is designed to ensure that Systems Engineering efforts align with business priorities while adapting to a rapidly evolving market.Having transitioned from a traditional virtualization backup leader to a data resilience platform company, Veeam recognizes that customers now demand more than mere recovery solutions—they seek assurance in their data as it becomes increasingly distributed, regulated, and leveraged by analytics and AI initiatives. This role is pivotal in fostering teams that can lead customers through genuine transformation, rather than just product adoption.What You’ll DoData is the cornerstone of modern enterprise. It drives operations, fosters customer trust, ensures compliance, and sparks innovation. Yet, it has also become one of the most vulnerable aspects of the enterprise, facing threats from ransomware, system failures, architectural complexity, and the rapid adoption of AI.Data resilience is now a business imperative—and increasingly a prerequisite for responsible AI utilization.This role ensures that Veeam's strategic vision translates into actionable outcomes. By cultivating robust teams, enhancing operational processes, and aligning technical engagement with genuine customer needs, the Team Lead, Systems Engineering directly contributes to customer success, partner effectiveness, and Veeam's reputation in a market where resilient, trusted data is essential for both security and innovation.People Leadership & Team EffectivenessLead, mentor, and develop a high-performing team...
Full-time|On-site|Suanluang, Krung Thep Maha Nakhon Bangkok, Thailand
Collaborate in integrating data systems with existing infrastructure.Streamline data collection and analysis processes, optimizing data release and reporting tools.Design innovative tools to enhance data flows between internal and external systems and the data warehouse.Enhance data searching, visualization, and advanced analytics capabilities.Oversee data cleansing, enrichment, and quality improvement initiatives.Create complex code, scripts, and data pipelines to process structured and unstructured data in near real-time.Develop prototypes and proof of concepts for selected solutions.Assist in establishing data flow channels and processing systems to extract, transform, load, and integrate data from various sources.Support the identification of both internal and external data sources.Monitor the performance of data systems to ensure efficiency and reliability.
Join Minor International as a Data Solutions Manager where you will spearhead the development and implementation of innovative data solutions that drive business success. This role requires a strategic mindset and the ability to collaborate with cross-functional teams to enhance data-driven decision-making processes.
We are on the lookout for a talented Full-Stack Software Engineer with expertise in Java, Go, and React to join our dynamic team. In this role, you will contribute to the development and maintenance of microservices, a comprehensive web portal, and various internal tools tailored for financial services.Your primary responsibilities will include designing, implementing, and maintaining scalable and reliable microservices, crafting automated tests, and adhering to the Software Development Life Cycle (SDLC) while ensuring alignment with corporate design patterns and technological strategies.
We are seeking a passionate and skilled Data Engineer to join our dynamic Data Collection Team at cube-asia. In this role, you will play a crucial part in designing and implementing data pipelines that facilitate seamless data collection and processing.You will collaborate with cross-functional teams to ensure the integrity and accessibility of data, utilizi…
Overview:Join our dynamic team at Join Makro as a Data Scientist, where your analytical skills will drive impactful decisions in the retail sector. We are looking for a passionate individual with a minimum of 2 years of experience in data science, specializing in data analysis, predictive modeling, and machine learning. Familiarity with MLOps, feature engineering, and data engineering workflows is highly advantageous.Key ResponsibilitiesData Analysis: Gather, preprocess, and scrutinize extensive datasets to unveil trends and actionable insights that tackle retail challenges.Model Development: Construct, train, and implement machine learning models for applications such as demand forecasting, customer behavior analysis, and inventory optimization.Collaboration: Collaborate with interdisciplinary teams, including data engineers and business stakeholders, to turn requirements into data-driven solutions.Visualization and Communication: Effectively present insights and findings using visualizations and dashboards to enhance decision-making processes.Innovation: Keep abreast of the latest tools and techniques in data science and retail analytics.Optional Responsibilities (for experienced candidates):Feature Engineering: Optimize and engineer features to enhance machine learning model performance, and automate feature extraction pipelines for scalable operations.MLOps: Engage in the deployment, monitoring, and retraining of machine learning models within production environments.Data Engineering: Assist in the design and maintenance of data pipelines while ensuring data integrity.QualificationsEducation: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.Experience: Minimum of 2 years in data science or a comparable field.Technical Skills:Expertise in Python for data analysis and machine learning.Strong SQL capabilities for managing and querying large datasets.Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).Soft Skills: Exceptional problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).Knowledge of data engineering tools (e.g., Apache Spark, Kafka, Airflow).Experience in developing real-time analytics or personalization systems.
Join joinmakropro as a Senior Manager in our Business Intelligence (BI) and Data Engineering team. In this pivotal role, you will spearhead the Business Report Development initiatives for CP Axtra’s BIC, overseeing the planning, execution, governance, and dependability of enterprise business reporting across Makro/Lotus. Collaborate closely with Data Engineering Operations and business stakeholders to ensure BIC dashboards and reports are reliable, timely, and trusted. You will also coordinate incident triage and service level agreement (SLA) communications.Key Responsibilities:1) Reporting & Delivery:Lead the end-to-end delivery of BIC dashboards and scheduled reports. Establish standards for data modeling, DAX/SQL patterns, performance, and release processes.Conduct root cause analysis (RCA) for discrepancies and document corrective actions.2) Platform Operations & SLA:Manage daily and weekly SLA communications with Data Operations and vendors, covering delays, pipeline statuses, estimated time of arrival (ETA), and stakeholder notifications.Ensure preparedness for month-end and quarter-end processes.3) Governance & Security:Incorporate BIC governance practices such as access management, row-level security (RLS), object-level security, and workspace standards, aligning with the directives of the CP Axtra Data Governance Committee.4) Stakeholder Management:Serve as the primary liaison for business owners across Operations, Finance, Commercial, and other departments, effectively communicating changes, incidents, and delivery timelines to diverse stakeholder groups.5) Leadership & Team Enablement:Mentor analysts and BI developers on best practices and standards; manage transition plans and handovers when ownership changes.
Join Cube Asia as a Data Engineer, where you will leverage diverse methodologies to convert raw data into impactful data systems. Your role will focus on enhancing efficiency by ensuring that our data systems align with business objectives.Success in this role requires a solid background in large-scale public data collection from web sources, utilizing open APIs and various tools. A comprehensive understanding of the regulations and technical aspects surrounding such data collection is essential.Familiarity with multiple programming languages and a foundational knowledge of machine learning techniques are also crucial. If you are detail-oriented, possess strong organizational skills, and have experience in this domain, we want to hear from you!
Join Agoda’s Display Marketing Team as a Senior Data Engineer, where you will drive data-driven decision-making and enhance our marketing strategies through sophisticated data pipelines and analytical solutions. As a key member of our team, you will collaborate with marketing professionals to design, develop, and implement robust data architectures that facilitate seamless data flow and accessibility.
Join Data Wow as a Data Engineer, where you'll collaborate with a talented team of Data Scientists and Data Analysts to design and implement robust data pipelines. This role offers the opportunity to work with cutting-edge data warehouse technologies and data ingestion tools while creating innovative proof of concept products tailored for our clients. You'll be an integral part of a dynamic team dedicated to delivering impactful data-driven solutions.Key Responsibilities Design, maintain, and optimize diverse data pipelines to ensure efficiency and reliability. Utilize data ingestion tools to streamline data acquisition. Enhance data warehouse performance and optimize resource utilization. Collaborate with Data Scientists to create proof of concept products that leverage machine learning models. Explore and implement new methodologies to improve existing data architecture.
Join our dynamic team at joinmakropro as a Senior Data Engineer! We are looking for a seasoned professional with a proven track record in data engineering to architect, execute, and sustain our data infrastructure and processing pipelines. The ideal candidate will possess a robust background in big data technologies, cloud platforms, and data engineering practices. You will collaborate closely with data scientists, analysts, and various stakeholders to deliver efficient and dependable data solutions. A proactive mindset and a commitment to excellence are essential.Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL processes.Implement and optimize data storage solutions, including data warehouses and data lakes.Work alongside data scientists and analysts to comprehend data needs and facilitate efficient data access.Guarantee data quality, consistency, and reliability across all systems.Create and maintain data models and schemas.Establish data security and access control protocols.Enhance query performance and data retrieval processes.Assess and incorporate new data technologies and tools.Guide junior data engineers and provide technical mentorship.Collaborate with cross-functional teams to advance data-driven decision-making.
JoinMakroPro is on the lookout for a skilled Data Engineer who can effectively design, implement, and maintain robust data infrastructure and pipelines. The successful candidate will possess a solid foundation in data engineering, expertise in big data technologies, and proficiency in cloud platforms. In this role, you will collaborate closely with data scientists, analysts, and other stakeholders to deliver efficient and reliable data processing and storage solutions.Key Responsibilities: Architect, develop, and sustain scalable data pipelines and ETL processes. Optimize and implement data storage solutions, such as data warehouses and data lakes. Work hand-in-hand with data scientists and analysts to grasp data needs and facilitate efficient data access. Guarantee data integrity, consistency, and reliability across all data systems. Create and uphold data models and schemas. Establish data security and access control protocols. Enhance query performance and data retrieval methods. Assess and incorporate emerging data technologies and tools. Guide junior data engineers and offer technical leadership. Collaborate with cross-functional teams to bolster data-driven decision-making.
Join our dynamic team at joinmakropro as a Senior Data Engineer, where you will play a crucial role in shaping our data infrastructure. We are looking for a highly skilled professional to spearhead the design, implementation, and maintenance of robust data pipelines and systems. You will collaborate with data scientists, analysts, and various stakeholders to ensure that our data processing and storage solutions are efficient and reliable.Key Responsibilities:Architect, develop, and maintain scalable data pipelines and ETL processes to support our analytics initiatives.Implement and enhance data storage solutions, including data warehouses and data lakes, to optimize data accessibility.Work closely with data scientists and analysts to gather data requirements and facilitate efficient data access.Guarantee data quality, consistency, and reliability across all platforms.Design and maintain comprehensive data models and schemas.Establish data security protocols and access control measures to protect sensitive information.Improve query performance and streamline data retrieval processes.Assess and integrate cutting-edge data technologies and tools.Provide mentorship to junior data engineers and foster their professional growth.Collaborate with cross-functional teams to enable data-driven decision-making.
Join aCommerce as a Data Engineer and play a pivotal role in constructing, optimizing, and sustaining robust data pipelines. You will also design innovative data models within our Data Platform, empowering analysts to drive critical business outcomes in our data-driven environment. In this role, you will leverage our cloud-based Big Data Platform to analyze both structured and unstructured marketplace data from various sources, enabling effective data utilization. You will be tasked with strategizing the optimal use of all data extracted from these diverse marketplaces. Collaboration will be key as you work closely with application teams and product managers to ensure alignment with business objectives and the overall roadmap.
Join our dynamic team at tsmg as a Junior Team Lead, where you'll play a pivotal role in managing and supporting data collection projects. This exciting position involves coordinating dedicated field teams, ensuring that project milestones are achieved, and utilizing your insights into the local market to enhance participant recruitment and maintain high data quality standards. This is a fantastic opportunity for an early-career professional to cultivate leadership abilities while contributing to meaningful research and operational advancements.
Your RoleAs the Department Manager of Makro’s Other Income (OI) team, you will spearhead initiatives focusing on online media and data monetization, aiming to enhance non-trade revenue streams. This pivotal position involves strategizing and leading the OI team dedicated to leveraging proprietary data and digital media assets. You will oversee the complete commercialization process—from guiding the internal data analytics team in analysis and product development to crafting competitive sales strategies and packaging Makro’s online media offerings. Collaborating with advertisers, agencies, and third-party partners, you will deliver impactful offerings that solidify Makro's position as a leader in the online media and data monetization landscape. Formulate and execute strategies for monetizing Makro’s online media and data assets, including Makro PRO. Translate customer and advertiser needs into actionable insights for data analysis and product development, working closely with the internal analytics team. Create competitive and insight-driven online advertising and data products, benchmarking against industry competitors while showcasing Makro’s unique digital capabilities. Develop enticing proposals for Makro’s digital media inventory that cater to advertiser needs and maximize revenue potential. Foster and maintain robust relationships with advertisers, agencies, and third-party partners to drive sales growth. Lead negotiations, product bundling strategies, pricing, and revenue forecasting for online media and data monetization projects. Establish, track, and report on KPIs to monitor sales performance and optimize monetization strategies. Work collaboratively with the in-store OI team to create integrated packages that enhance synergies between online and offline media assets.
Join our dynamic team at joinmakropro as an Oracle Retail Analytics Data Warehouse Engineer. In this pivotal role, you will design, develop, and support robust analytics and reporting solutions for our retail data. We're seeking a candidate with a proven track record in Oracle Retail Analytics, OBIEE, BI Publisher, and Oracle Data Integrator, complemented by strong data engineering expertise.Key Responsibilities:1) Data Warehouse & Analytics:- Architect, implement, and sustain Oracle Retail Analytics Data Warehouse solutions.- Create and refine dimensional models including fact and dimension tables.- Guarantee data integrity, consistency, and high performance.2) ETL / Data Integration:- Design and manage ETL pipelines utilizing Oracle Data Integrator (ODI).- Seamlessly integrate data from various retail systems such as POS, merchandising, and supply chain.- Enforce data quality standards and enhance ETL efficiency.3) Reporting & BI:- Construct insightful dashboards using Oracle Business Intelligence Enterprise Edition (OBIEE).- Generate operational and management reports via BI Publisher (BIP).- Convert business needs into actionable analytics solutions.4) Data Engineering:- Demonstrate strong SQL and PL/SQL skills for data transformation and optimization.- Efficiently manage large datasets.- Follow best practices for data modeling and query performance.5) Operations & Support:- Oversee data loads and reporting functions.- Diagnose production issues and alleviate performance bottlenecks.
We are seeking a dedicated and proactive Data Service Engineer to optimize the functionality of our company’s data ecosystem. This pivotal role involves monitoring data workflows, troubleshooting operational challenges, assisting business users with data inquiries, and fostering collaboration across various technical and business teams. The ideal candidate will possess a keen eye for detail, a service-oriented mindset, and the ability to thrive in a dynamic, cross-functional environment.Key Responsibilities Oversee and manage data ingestion and ETL processes sourced from multiple channels. Continuously enhance data operational workflows and propose solutions to recurring challenges. Develop SQL queries for data extraction, validation, and manipulation from databases. Address incident tickets and coordinate issue resolution by liaising with relevant domain teams. Assist business users with data extraction, validation, and ad hoc requests. Investigate and resolve data anomalies in partnership with relevant teams. Proactively provide daily reports on incidents and operational summaries to the team.
Agoda is seeking a Senior Data Platform Engineer based in Bangkok, Thailand. This role centers on shaping and strengthening the company’s data infrastructure to support business analytics and improve how teams access data. What you will do Design, build, and maintain data systems that serve the organization’s analytical needs Work to improve data accessibility for teams across Agoda Collaboration Work closely with other skilled professionals to develop and refine data solutions. The environment encourages sharing ideas and learning from peers. Technology This position involves working with modern data technologies as part of efforts to advance Agoda’s data platform.
Join agoda as a Senior/Staff Data Platform Engineer and play a pivotal role in shaping our data infrastructure. We are looking for seasoned engineers passionate about data platforms, eager to tackle challenging problems, and to innovate within a dynamic team environment. You will have the opportunity to work with cutting-edge technologies and contribute to enhancing our data processing capabilities while ensuring high availability and scalability.
Veeam is the Data and AI Trust Company, focusing on empowering organizations to fully comprehend, secure, and sustain their data and AI, facilitating the safe scaling of AI initiatives. As an industry leader in data resilience and security posture management, Veeam is engineered for the intersection of identity, data, security, and AI risks. With its headquarters in Seattle and operations in over 30 countries, Veeam safeguards over 550,000 customers globally, who rely on us to maintain their business continuity. Join us in our fearless journey forward, as we grow, learn, and make a significant impact for some of the world’s largest brands.About the RoleThe Team Lead, Systems Engineering is responsible for guiding a team of skilled Systems Engineers in delivering consistent technical execution, achieving strong customer outcomes, and generating measurable business impact across designated regions or segments.This position requires a balance of people leadership, operational execution, and technical oversight. It is designed to ensure that Systems Engineering efforts align with business priorities while adapting to a rapidly evolving market.Having transitioned from a traditional virtualization backup leader to a data resilience platform company, Veeam recognizes that customers now demand more than mere recovery solutions—they seek assurance in their data as it becomes increasingly distributed, regulated, and leveraged by analytics and AI initiatives. This role is pivotal in fostering teams that can lead customers through genuine transformation, rather than just product adoption.What You’ll DoData is the cornerstone of modern enterprise. It drives operations, fosters customer trust, ensures compliance, and sparks innovation. Yet, it has also become one of the most vulnerable aspects of the enterprise, facing threats from ransomware, system failures, architectural complexity, and the rapid adoption of AI.Data resilience is now a business imperative—and increasingly a prerequisite for responsible AI utilization.This role ensures that Veeam's strategic vision translates into actionable outcomes. By cultivating robust teams, enhancing operational processes, and aligning technical engagement with genuine customer needs, the Team Lead, Systems Engineering directly contributes to customer success, partner effectiveness, and Veeam's reputation in a market where resilient, trusted data is essential for both security and innovation.People Leadership & Team EffectivenessLead, mentor, and develop a high-performing team...
Full-time|On-site|Suanluang, Krung Thep Maha Nakhon Bangkok, Thailand
Collaborate in integrating data systems with existing infrastructure.Streamline data collection and analysis processes, optimizing data release and reporting tools.Design innovative tools to enhance data flows between internal and external systems and the data warehouse.Enhance data searching, visualization, and advanced analytics capabilities.Oversee data cleansing, enrichment, and quality improvement initiatives.Create complex code, scripts, and data pipelines to process structured and unstructured data in near real-time.Develop prototypes and proof of concepts for selected solutions.Assist in establishing data flow channels and processing systems to extract, transform, load, and integrate data from various sources.Support the identification of both internal and external data sources.Monitor the performance of data systems to ensure efficiency and reliability.
Join Minor International as a Data Solutions Manager where you will spearhead the development and implementation of innovative data solutions that drive business success. This role requires a strategic mindset and the ability to collaborate with cross-functional teams to enhance data-driven decision-making processes.
We are on the lookout for a talented Full-Stack Software Engineer with expertise in Java, Go, and React to join our dynamic team. In this role, you will contribute to the development and maintenance of microservices, a comprehensive web portal, and various internal tools tailored for financial services.Your primary responsibilities will include designing, implementing, and maintaining scalable and reliable microservices, crafting automated tests, and adhering to the Software Development Life Cycle (SDLC) while ensuring alignment with corporate design patterns and technological strategies.
