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ResponsibilitiesData Engineering: Develop tools for data classification, onboarding, and reconciliation. Automate tasks and explore datasets using a modern Python data stack. Data Analysis: Parse and analyze datasets while performing reconciliations, validations, and quality checks. Identify and develop new processes to enrich data for our researchers. Data Debugging: Investigate anomalies in datasets and trace issues back to their source, utilizing deductive reasoning and technical analysis. Production Support: Provide proactive management of our data pipeline, addressing inquiries from internal stakeholders and resolving issues efficiently. ProfileDetail-oriented with a comprehensive approach to tasks. Strong problem-solving skills with the ability to research large datasets and resolve complex issues. Collaborative spirit that supports cross-team projects. Ability to thrive in a fast-paced, live trading environment. Qualifications2+ years of experience in a data engineering/science role or a degree in data science or a related field. Proficiency in Python is strongly preferred. Experience managing ETL pipelines is advantageous. Familiarity with financial datasets (e.g., Refinitiv, S&P, Bloomberg) is a significant plus. Comfortable using the Linux command line. Experience with at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and adaptable to others as required. Capable of providing technical support in a production trading environment.
About the job
Join Hudson River Trading (HRT) as a Data Production Engineer within our dynamic Data team. At HRT, data is the backbone of our operations, enabling us to extract profound insights from diverse data sources, which is key to our sustained success in an ever-evolving market.
This is a unique opportunity to collaborate closely with our live trading teams, supporting one of the largest automated trading systems globally. In this role, you will engage in writing automation scripts, exploring datasets, and collaborating with our research and trading teams. You will also interact with various external partners, including data providers, brokers, and exchanges. As a vital part of the trading process, you will have the chance to acquire, analyze, and prepare data for quantitative research.
About Hudson River Trading
Hudson River Trading is a leading quantitative trading firm that leverages advanced technology and data-driven strategies to deliver superior trading solutions in a highly competitive market.
Join Hudson River Trading (HRT) as a Data Production Engineer within our dynamic Data team. At HRT, data is the backbone of our operations, enabling us to extract profound insights from diverse data sources, which is key to our sustained success in an ever-evolving market.This is a unique opportunity to collaborate closely with our live trading teams, supporting one of the largest automated trading systems globally. In this role, you will engage in writing automation scripts, exploring datasets, and collaborating with our research and trading teams. You will also interact with various external partners, including data providers, brokers, and exchanges. As a vital part of the trading process, you will have the chance to acquire, analyze, and prepare data for quantitative research.
Join Databricks as a Data Warehousing Product Specialist within our dynamic Field Engineering team, where you will spearhead the development and implementation of our technical go-to-market strategy throughout the Asia Pacific and Japan regions. In this pivotal role, you will collaborate closely with customers to shape their data warehousing architectures and inform critical decisions. Acting as a trusted advisor for senior executives, your expertise will empower our clients to effectively utilize Databricks to address their business challenges. You will serve as a technical authority, supporting our field engineering teams by helping them grasp the unique advantages of our products in comparison to competitors. Partnering with Product Manager(s), you will influence product direction through local insights and contribute to our overall product strategy alongside go-to-market teams. While you won't have direct reports, you will have the opportunity to recruit and lead a network of specialists dedicated to amplifying your impact. As an external thought leader, you will engage with the market through speaking engagements at conferences, leading online webinars, and contributing to blog posts. Your role will also involve meeting customers to communicate our vision and solicit feedback. Your expertise encompasses cloud-based data warehousing technologies, modern data platform architectures, and traditional data warehousing techniques, complemented by industry domain knowledge. You will excel in articulating a compelling value proposition for our customers and equipping Account Executives and Field Engineers with best practices and resources that you develop.
Join OKX as a Senior Staff Data Engineer specializing in Product Data Development, where you will play a crucial role in shaping our data strategies and enhancing our products. You will collaborate with cross-functional teams to design, develop, and manage data systems that empower user engagement and operational efficiency. Your expertise will be instrumental in driving data architecture and analytics initiatives, ensuring the integrity and usability of our data assets.
Join our innovative team as a Data Engineer at nascompany, where your expertise will help drive data solutions that empower our business decisions. You will play a critical role in designing, constructing, and maintaining scalable data pipelines and architectures. Collaborate with cross-functional teams to enhance data accessibility and ensure data quality.
Job OverviewJoin Cygnify as a Data Platform Engineer, where you will manage expansive big data platforms within hybrid environments, ensuring seamless analytics and data-driven insights. Collaborate with data engineers, scientists, infrastructure, security, and business teams to uphold data integrity, platform reliability, and operational excellence. This position emphasizes the development, management, and optimization of production-grade data platforms and pipelines with a strong focus on infrastructure, automation, and reliability.Core ResponsibilitiesDesign and manage scalable data platform infrastructure and pipelines across both on-premises and cloud setups.Oversee the complete lifecycle of the platform including architecture, deployment, operations, performance tuning, and reliability engineering.Support data platform clusters and nodes (compute, storage, networking) to ensure high availability and optimal performance levels.Provision and manage cloud data services such as AWS S3 and Redshift.Monitor platform performance, health, and capacity; establish observability, alerting, and operational runbooks to maintain system reliability.Enhance and support ETL/ELT pipelines, ensuring consistent data ingestion, transformation, and delivery.Operate and maintain both on-premises and cloud data storage platforms to ensure durability and scalability.Implement security best practices including IAM, VPC configurations, encryption, backup strategies, and disaster recovery.Ensure adherence to data governance and regulatory mandates (e.g., PDPA) in collaboration with infrastructure and security teams.Work closely with cross-functional teams to align platform capabilities with business and analytical requirements.Create and maintain comprehensive technical documentation covering system architecture, data flows, configurations, and operational procedures.
Join us as a Data Engineer at fuku, a dynamic and rapidly growing global consumer internet platform based in Singapore. This exciting role is focused on enhancing our data engineering capabilities to support millions of users across diverse ecosystems including content, community, e-commerce, and advertising.As we expand our international footprint, data has become a pivotal element for our decision-making and growth strategies. You will play a vital role in architecting a cutting-edge global data platform, crucial for driving user growth and optimizing commercial activities. Your expertise will be essential in designing and scaling robust data warehouse architectures and governance systems, empowering business teams worldwide to leverage data effectively.Key ResponsibilitiesFoundational Data Platform & Common Data Layer: Design, develop, and sustain the foundational data platform and shared data structures. Enhance the performance and stability of data operations across core business domains including community, e-commerce, and advertising.Domain Data Warehousing & Data Products: Collaborate with business units to lead the creation of domain-specific data warehouses. Construct data products and analytical models, providing accurate datasets and services that facilitate strategic decision-making.Data Governance Framework: Establish a comprehensive data governance framework that integrates business needs, metadata management, and technical implementation while consistently optimizing data quality, security, and efficiency.
About Thunes Thunes is revolutionizing the way money moves globally with our cutting-edge Smart Superhighway. Our proprietary Direct Global Network empowers Members to conduct real-time payments across more than 130 countries and over 80 currencies. With direct connections to over 7 billion mobile wallets and bank accounts, Thunes offers a diverse range of over 350 payment methods, including GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay, and many more. Our esteemed Members include major players in the gig economy, such as Uber and Deliveroo, super-apps like Grab and WeChat, as well as MTOs, fintechs, PSPs, and banks. Thunes stands out due to its global reach, innovative Smart Treasury Management Platform, and robust Fortress Compliance Infrastructure, which together ensure that our Members benefit from unparalleled speed, control, visibility, protection, and cost-efficiency in their real-time payments worldwide. Headquartered in Singapore, we have established offices in 12 key locations, including Barcelona, Beijing, Dubai, London, Manila, Nairobi, Paris, Riyadh, San Francisco, Sao Paulo, and Shanghai. For more information about our services, visit: https://www.thunes.com/ Role Overview We are seeking a passionate and driven Product Data Scientist with a robust full-stack skill set, enthusiastic about developing and enhancing predictive engines that support our rapidly growing fintech. In this role, you will bridge the gap between data science, product strategy, and business results, adopting a startup mentality while adhering to the rigorous standards of a regulated financial institution. Your responsibilities will extend beyond ensuring model accuracy; you will oversee the complete lifecycle of predictive capabilities, from defining metrics to model design, validation, and seamless production deployment and ongoing refinement. It is critical that the models you create are not only technically sound but also robust, explainable, fair, and trusted by the business. In this position, you will design and implement our primary predictive capabilities that have a direct impact on service quality, liquidity management, risk assessment, and operational decision-making. Collaborating proactively with diverse stakeholders, you will transform ambiguous business challenges into scalable data products, ensuring that predictions are actionable, measurable, and integrated into real workflows. You will define key success metrics, challenge existing assumptions, and continually enhance models based on feedback from the business and evolving market dynamics.
Join Hytech, a premier technology company at the forefront of artificial intelligence and data analytics. We specialize in delivering innovative solutions that empower businesses to thrive in the digital age. Our talented team is dedicated to driving digital transformation and ensuring our clients achieve sustainable growth through cutting-edge technology and exceptional service.As an AI Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and systems for AI applications. You'll work closely with data scientists and software engineers to seamlessly integrate AI models into production environments. Your expertise will ensure data quality through effective collection, cleansing, and preprocessing techniques. Additionally, you will optimize data storage and retrieval processes to enhance system performance and troubleshoot any data pipeline issues that arise.Staying ahead of industry trends and technologies is essential, and you will contribute to the development of best practices and standards in data engineering.
Cloudera Data EngineerAs a Cloudera Data Engineer, you will play a pivotal role in designing, developing, and maintaining robust data pipelines and platforms, with a primary focus on the Cloudera Hadoop ecosystem. You will collaborate closely with data analysts, scientists, and business stakeholders to guarantee data accessibility, integrity, and security.Your Responsibilities:Design, build, and manage the Cloudera Hadoop Distribution (CDH/CDP) environment.Develop and maintain ETL pipelines using tools such as Apache NiFi, Hive, Spark, and Impala.Optimize and manage HDFS, YARN, Kafka, HBase, and Oozie workflows.Monitor and troubleshoot cluster performance, utilizing strong problem-solving and debugging skills.Work in collaboration with DevOps and Data Science teams to integrate data platforms into applications and analytics workflows.Ensure data governance, security, and compliance by leveraging tools such as Apache Ranger, Atlas, and Kerberos.Mentor and provide guidance to a team of data engineers to deliver comprehensive data solutions.
CoreWeave is seeking a Senior Production Engineer based in Singapore. The main focus is on maintaining and improving the production systems that drive the company's day-to-day operations. This position involves regular collaboration with colleagues from various teams to ensure systems remain efficient and reliable. Key responsibilities Maintain and optimize production systems to support ongoing business operations Collaborate with team members across departments to solve problems and enhance processes Find and implement ways to improve system performance and reliability Collaboration Working closely with others across the organization is a core part of this role. Expect to address challenges together and share knowledge to strengthen CoreWeave's production environment.
At OKX, we are seeking candidates who possess the right to work in Singapore and do not require visa sponsorship.About UsAt OKX, we are on a mission to redefine the future through cryptocurrency, empowering individuals with financial freedom. As a premier cryptocurrency exchange and developer of the OKX Wallet, we provide millions with access to cryptocurrency trading and decentralized applications (dApps). Our platform is trusted by numerous large institutions accessing the crypto markets, backed by our commitment to safety and reliability through our Proof of Reserves.Our global offices are united by core values: We Before Me, Do the Right Thing, and Get Things Done. These principles shape our culture and foster a collaborative, rewarding, and inclusive environment for all team members.As part of the OKG group, we aim to bring the benefits of blockchain technology to users worldwide through our flagship products, including OKX, OKX Wallet, and OKLink.About the RoleJoin our Trading Product Group, which spearheads the design of all products on OKX's derivatives trading exchange, encompassing spot trading, futures, leveraged tokens, and trading options. We are on the lookout for a Senior Data Analyst to join our Trading Analysis team.Your Responsibilities:Conduct comprehensive business analysis on trading products.Employ data-driven methodologies to identify optimal solutions for business expansion, focusing on market share, revenue growth, and user transaction costs.Enhance and refine existing data analysis tools, including automated reporting systems and dashboards, to streamline data retrieval and analysis.Investigate critical business challenges, independently formulate data models, generate regular data reports, and swiftly identify business issues.Lead independent analysis projects, providing actionable conclusions and practical strategies to inform business decisions.
Role overview NCS3 is seeking a Lead Product Engineer based in Singapore. This position leads product development from the earliest concept stages through to final delivery, with a focus on ensuring each product aligns with customer needs and meets established quality standards. What you will do Guide product development efforts from initial idea through launch Collaborate with cross-functional teams to define product specifications and design effective solutions Oversee the development process, making sure products achieve quality and performance goals Requirements Strong technical background in product engineering Demonstrated leadership experience guiding teams Ability to work across departments and communicate clearly Drive to deliver products that address real customer needs
About Soleil CollectiveSupported by Gauge Capital, Soleil Collective is on a mission to curate a dynamic portfolio of top-tier, high-growth brands in the sunless tanning, suncare, and bodycare sectors. By leveraging our expertise in sales, marketing, operations, and strategic management, we accelerate growth and enhance profitability. To date, we have successfully acquired two brands: Loving Tan and Coco & Eve.Loving Tan, recognized as the leader in luxury tanning, is celebrated for its professional quality products that deliver a naturally radiant tan, crafted on Australia’s stunning Gold Coast. Beloved by celebrities and beauty enthusiasts alike, it offers a flawless application with a natural olive tone.Coco & Eve draws inspiration from Bali, delivering sun-kissed skin and effective haircare through products made with exquisite tropical ingredients, designed to transport users to a paradise experience.The RoleWe are seeking a Contract Business Data Engineer to enhance Soleil Collective’s data capabilities across our global beauty brand portfolio. This position bridges the domains of business analysis, data engineering, and systems integration, collaborating closely with Product, Operations, and Finance teams to convert business needs into scalable data and systems solutions.In this role, you will design and optimize data pipelines, facilitate system integrations, and ensure that business requirements are effectively translated into structured technical solutions. You will engage with stakeholders to gain insights into operational workflows, analyze data, and build a reliable data infrastructure that empowers informed decision-making across the organization.In addition to technical development, you will play a vital role in gathering requirements, documentation, testing coordination, and system optimization, ensuring that new solutions are practical, scalable, and aligned with our business objectives.The ideal candidate will be adept at navigating both technical and business environments, capable of analyzing data, comprehending operational processes, and collaborating with engineering teams to deliver impactful system and data solutions.
Are you passionate about sports and data? Ready to make a significant impact? Join us at Decathlon where our mission is to "Move People through the Wonders of Sport." We are more than just a retailer; we foster a global community driven by a love for sports and innovation. In Singapore and throughout APAC, we are transforming the landscape of sport experiences by harnessing data to enhance decision-making processes daily.We are looking for an outstanding Data Engineer / Analytics Engineer to join our team in Singapore and help us solve real-world data challenges. In this pivotal role, you will serve as the link between raw data and business outcomes. Your expertise will not only help us manage data but also design the systems that drive decisions across our stores, e-commerce, and logistics operations throughout Singapore and APAC, ensuring our data solutions are scalable, efficient, and reliable.Your ResponsibilitiesDesign, develop, and optimize large-scale DBT projects, acting as the primary point of contact for DBT initiatives across the region.Create and enhance production-ready data pipelines and solutions to extract valuable insights from web scrapers, store operations, and ecosystem partners.Establish and improve CI/CD workflows to boost developer productivity, enhance cloud performance, and manage AWS & GCP infrastructure.Work closely with business teams to identify data-driven solutions, clarify requirements, and improve existing tools while fostering a data-driven culture among teammates.Champion automation, effective data use, and data-driven decision-making.Contribute actively to the data and analytics engineering community.
Thoughtworks Singapore is currently seeking applicants who possess the right to work in Singapore, specifically Singapore citizens or Singapore Permanent Residents (PR), due to the nature of our business.As a Lead Data Engineer at Thoughtworks, you will be at the forefront of developing innovative data architecture strategies that align with crucial business objectives, delivering comprehensive end-to-end data solutions. You may engage with new clients for in-depth technical assessments or comprehensive organizational evaluations, guiding them to uncover the transformative potential of data in addressing their most significant challenges. Your role will involve spearheading the design of technical solutions, possibly overseeing program inception to create new products. In addition to hands-on coding, you will lead a team to implement these solutions effectively.
Activate Interactive Pte Ltd is seeking a Data Engineer based in Singapore. This role centers on building and maintaining data architecture and analytics solutions that help drive business decisions. The work plays a direct part in how clients use data to enhance their operations. Key responsibilities Design and implement data architecture that fits specific business needs Create analytics solutions to uncover insights from complex datasets Assist teams in applying data to address operational challenges Requirements Background in data engineering, data architecture, or analytics Ability to solve problems using data-driven methods Interest in supporting clients to improve through effective data use This position offers the chance to influence how organizations make informed decisions through data.
About the RoleJane Street is seeking a skilled Data Centre Engineer to join our team in Singapore. In this pivotal role, you will ensure the security and accessibility of our data around the clock. Your responsibilities will encompass hands-on work in our data and colocation centres, as well as strategic process thinking and project management.Your primary focus will be on designing, building, scaling, and maintaining our regional data and colocation centres. You will collaborate with a diverse group of talented professionals across various disciplines at Jane Street to enhance our data environments and proactively mitigate potential issues.As part of an interdisciplinary team that includes our Network, Server, Facilities Engineering, Market Data, and Trading teams, as well as external data centre operators and service providers, you will:Develop deployment plans for new equipment, adhering to data centre best practices.Manage logistical activities across locations, including procurement, shipping, equipment inventory, cabling, and parts management.Install and configure server operating systems in a PXE environment (fundamental Linux knowledge is essential for deploying our network equipment).Install, cable, configure, and troubleshoot various types of network and server equipment.Ensure all data centres maintain the highest standards of security, organization, documentation, safety, cleanliness, and supply management.This role is critical to our daily operations in Singapore and directly influences our remote locations throughout Asia.
Join Accion Labs as a Big Data Engineer, where you'll harness the power of data to drive business insights and innovation. We are seeking a highly skilled individual who thrives in a dynamic environment and is passionate about big data technologies.Your role will involve designing and implementing scalable data solutions, collaborating with cross-functional teams, and leveraging cutting-edge tools to analyze large datasets. If you have a knack for problem-solving and a keen eye for detail, we want to hear from you!
About AirwallexAirwallex stands as the premier unified payments and financial platform designed exclusively for global enterprises. Our innovative blend of proprietary infrastructure and software enables us to empower over 200,000 businesses worldwide, including renowned names such as Brex, Rippling, Navan, Qantas, and SHEIN, by offering fully integrated solutions that streamline management of business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, our dynamic team consists of over 2,000 talented and innovative tech professionals across 26 offices globally. With a valuation of US$8 billion and support from industry-leading investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of shaping the future of global payments and financial platforms. If you're prepared to embark on the most ambitious journey of your career, we invite you to join us.Values We CherishWe seek talented builders with entrepreneurial spirit looking to make a significant impact, gain rapid learning opportunities, and possess true ownership of their work. You will bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in fast-paced environments, exercise sound judgment, delve deeply with curiosity, and base your decisions on fundamental principles, balancing agility and thoroughness.You embody humility and collaboration, transforming innovative ideas into tangible products, and you excel at executing tasks from inception to completion. Leveraging AI, you enhance your efficiency and expedite problem-solving processes. Here, you will engage with complex, high-stakes challenges alongside exceptional colleagues and advance your career as we redefine the future of global banking. If this resonates with you, let's create what comes next.About Our TeamOur global team, spanning Australia, China, the USA, and Singapore, is dedicated to revolutionizing applied data science, data engineering, and platform solutions to support the rapid growth of Airwallex. You will collaborate with a diverse array of cross-functional partners—including Product, Engineering, Marketing, Sales, Finance, and more—to address intricate data challenges and help shape the future of fintech. Discover more about the data science team in this blog.This role is based in Singapore.
About AvePoint:AvePoint is a pioneering force in the realm of data management and governance. With over 21,000 clients globally, our innovative solutions enhance digital workplace experiences across platforms like Microsoft, Google, and Salesforce. Our extensive channel partner network comprises more than 3,500 managed service providers and value-added resellers, making our services accessible in over 100 cloud marketplaces. Discover more about us at www.avepoint.com.At AvePoint, we prioritize investing in our people. Our core values of agility, passion, and teamwork empower you to shape your career, make a significant impact, and take charge of your future. Join us to unleash your potential!About the Role:As a Data Engineer, you will be instrumental in supporting our Data Movement project, which entails building, integrating, and testing a comprehensive Data Toolkit. This toolkit aims to standardize efforts across the organization to enhance Data Ingestion and Observability. You will also execute and assist in the migration of systems and data from legacy systems to the new Data Toolkit.
Join Hudson River Trading (HRT) as a Data Production Engineer within our dynamic Data team. At HRT, data is the backbone of our operations, enabling us to extract profound insights from diverse data sources, which is key to our sustained success in an ever-evolving market.This is a unique opportunity to collaborate closely with our live trading teams, supporting one of the largest automated trading systems globally. In this role, you will engage in writing automation scripts, exploring datasets, and collaborating with our research and trading teams. You will also interact with various external partners, including data providers, brokers, and exchanges. As a vital part of the trading process, you will have the chance to acquire, analyze, and prepare data for quantitative research.
Join Databricks as a Data Warehousing Product Specialist within our dynamic Field Engineering team, where you will spearhead the development and implementation of our technical go-to-market strategy throughout the Asia Pacific and Japan regions. In this pivotal role, you will collaborate closely with customers to shape their data warehousing architectures and inform critical decisions. Acting as a trusted advisor for senior executives, your expertise will empower our clients to effectively utilize Databricks to address their business challenges. You will serve as a technical authority, supporting our field engineering teams by helping them grasp the unique advantages of our products in comparison to competitors. Partnering with Product Manager(s), you will influence product direction through local insights and contribute to our overall product strategy alongside go-to-market teams. While you won't have direct reports, you will have the opportunity to recruit and lead a network of specialists dedicated to amplifying your impact. As an external thought leader, you will engage with the market through speaking engagements at conferences, leading online webinars, and contributing to blog posts. Your role will also involve meeting customers to communicate our vision and solicit feedback. Your expertise encompasses cloud-based data warehousing technologies, modern data platform architectures, and traditional data warehousing techniques, complemented by industry domain knowledge. You will excel in articulating a compelling value proposition for our customers and equipping Account Executives and Field Engineers with best practices and resources that you develop.
Join OKX as a Senior Staff Data Engineer specializing in Product Data Development, where you will play a crucial role in shaping our data strategies and enhancing our products. You will collaborate with cross-functional teams to design, develop, and manage data systems that empower user engagement and operational efficiency. Your expertise will be instrumental in driving data architecture and analytics initiatives, ensuring the integrity and usability of our data assets.
Join our innovative team as a Data Engineer at nascompany, where your expertise will help drive data solutions that empower our business decisions. You will play a critical role in designing, constructing, and maintaining scalable data pipelines and architectures. Collaborate with cross-functional teams to enhance data accessibility and ensure data quality.
Job OverviewJoin Cygnify as a Data Platform Engineer, where you will manage expansive big data platforms within hybrid environments, ensuring seamless analytics and data-driven insights. Collaborate with data engineers, scientists, infrastructure, security, and business teams to uphold data integrity, platform reliability, and operational excellence. This position emphasizes the development, management, and optimization of production-grade data platforms and pipelines with a strong focus on infrastructure, automation, and reliability.Core ResponsibilitiesDesign and manage scalable data platform infrastructure and pipelines across both on-premises and cloud setups.Oversee the complete lifecycle of the platform including architecture, deployment, operations, performance tuning, and reliability engineering.Support data platform clusters and nodes (compute, storage, networking) to ensure high availability and optimal performance levels.Provision and manage cloud data services such as AWS S3 and Redshift.Monitor platform performance, health, and capacity; establish observability, alerting, and operational runbooks to maintain system reliability.Enhance and support ETL/ELT pipelines, ensuring consistent data ingestion, transformation, and delivery.Operate and maintain both on-premises and cloud data storage platforms to ensure durability and scalability.Implement security best practices including IAM, VPC configurations, encryption, backup strategies, and disaster recovery.Ensure adherence to data governance and regulatory mandates (e.g., PDPA) in collaboration with infrastructure and security teams.Work closely with cross-functional teams to align platform capabilities with business and analytical requirements.Create and maintain comprehensive technical documentation covering system architecture, data flows, configurations, and operational procedures.
Join us as a Data Engineer at fuku, a dynamic and rapidly growing global consumer internet platform based in Singapore. This exciting role is focused on enhancing our data engineering capabilities to support millions of users across diverse ecosystems including content, community, e-commerce, and advertising.As we expand our international footprint, data has become a pivotal element for our decision-making and growth strategies. You will play a vital role in architecting a cutting-edge global data platform, crucial for driving user growth and optimizing commercial activities. Your expertise will be essential in designing and scaling robust data warehouse architectures and governance systems, empowering business teams worldwide to leverage data effectively.Key ResponsibilitiesFoundational Data Platform & Common Data Layer: Design, develop, and sustain the foundational data platform and shared data structures. Enhance the performance and stability of data operations across core business domains including community, e-commerce, and advertising.Domain Data Warehousing & Data Products: Collaborate with business units to lead the creation of domain-specific data warehouses. Construct data products and analytical models, providing accurate datasets and services that facilitate strategic decision-making.Data Governance Framework: Establish a comprehensive data governance framework that integrates business needs, metadata management, and technical implementation while consistently optimizing data quality, security, and efficiency.
About Thunes Thunes is revolutionizing the way money moves globally with our cutting-edge Smart Superhighway. Our proprietary Direct Global Network empowers Members to conduct real-time payments across more than 130 countries and over 80 currencies. With direct connections to over 7 billion mobile wallets and bank accounts, Thunes offers a diverse range of over 350 payment methods, including GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay, and many more. Our esteemed Members include major players in the gig economy, such as Uber and Deliveroo, super-apps like Grab and WeChat, as well as MTOs, fintechs, PSPs, and banks. Thunes stands out due to its global reach, innovative Smart Treasury Management Platform, and robust Fortress Compliance Infrastructure, which together ensure that our Members benefit from unparalleled speed, control, visibility, protection, and cost-efficiency in their real-time payments worldwide. Headquartered in Singapore, we have established offices in 12 key locations, including Barcelona, Beijing, Dubai, London, Manila, Nairobi, Paris, Riyadh, San Francisco, Sao Paulo, and Shanghai. For more information about our services, visit: https://www.thunes.com/ Role Overview We are seeking a passionate and driven Product Data Scientist with a robust full-stack skill set, enthusiastic about developing and enhancing predictive engines that support our rapidly growing fintech. In this role, you will bridge the gap between data science, product strategy, and business results, adopting a startup mentality while adhering to the rigorous standards of a regulated financial institution. Your responsibilities will extend beyond ensuring model accuracy; you will oversee the complete lifecycle of predictive capabilities, from defining metrics to model design, validation, and seamless production deployment and ongoing refinement. It is critical that the models you create are not only technically sound but also robust, explainable, fair, and trusted by the business. In this position, you will design and implement our primary predictive capabilities that have a direct impact on service quality, liquidity management, risk assessment, and operational decision-making. Collaborating proactively with diverse stakeholders, you will transform ambiguous business challenges into scalable data products, ensuring that predictions are actionable, measurable, and integrated into real workflows. You will define key success metrics, challenge existing assumptions, and continually enhance models based on feedback from the business and evolving market dynamics.
Join Hytech, a premier technology company at the forefront of artificial intelligence and data analytics. We specialize in delivering innovative solutions that empower businesses to thrive in the digital age. Our talented team is dedicated to driving digital transformation and ensuring our clients achieve sustainable growth through cutting-edge technology and exceptional service.As an AI Data Engineer, you will play a crucial role in designing, developing, and maintaining robust data pipelines and systems for AI applications. You'll work closely with data scientists and software engineers to seamlessly integrate AI models into production environments. Your expertise will ensure data quality through effective collection, cleansing, and preprocessing techniques. Additionally, you will optimize data storage and retrieval processes to enhance system performance and troubleshoot any data pipeline issues that arise.Staying ahead of industry trends and technologies is essential, and you will contribute to the development of best practices and standards in data engineering.
Cloudera Data EngineerAs a Cloudera Data Engineer, you will play a pivotal role in designing, developing, and maintaining robust data pipelines and platforms, with a primary focus on the Cloudera Hadoop ecosystem. You will collaborate closely with data analysts, scientists, and business stakeholders to guarantee data accessibility, integrity, and security.Your Responsibilities:Design, build, and manage the Cloudera Hadoop Distribution (CDH/CDP) environment.Develop and maintain ETL pipelines using tools such as Apache NiFi, Hive, Spark, and Impala.Optimize and manage HDFS, YARN, Kafka, HBase, and Oozie workflows.Monitor and troubleshoot cluster performance, utilizing strong problem-solving and debugging skills.Work in collaboration with DevOps and Data Science teams to integrate data platforms into applications and analytics workflows.Ensure data governance, security, and compliance by leveraging tools such as Apache Ranger, Atlas, and Kerberos.Mentor and provide guidance to a team of data engineers to deliver comprehensive data solutions.
CoreWeave is seeking a Senior Production Engineer based in Singapore. The main focus is on maintaining and improving the production systems that drive the company's day-to-day operations. This position involves regular collaboration with colleagues from various teams to ensure systems remain efficient and reliable. Key responsibilities Maintain and optimize production systems to support ongoing business operations Collaborate with team members across departments to solve problems and enhance processes Find and implement ways to improve system performance and reliability Collaboration Working closely with others across the organization is a core part of this role. Expect to address challenges together and share knowledge to strengthen CoreWeave's production environment.
At OKX, we are seeking candidates who possess the right to work in Singapore and do not require visa sponsorship.About UsAt OKX, we are on a mission to redefine the future through cryptocurrency, empowering individuals with financial freedom. As a premier cryptocurrency exchange and developer of the OKX Wallet, we provide millions with access to cryptocurrency trading and decentralized applications (dApps). Our platform is trusted by numerous large institutions accessing the crypto markets, backed by our commitment to safety and reliability through our Proof of Reserves.Our global offices are united by core values: We Before Me, Do the Right Thing, and Get Things Done. These principles shape our culture and foster a collaborative, rewarding, and inclusive environment for all team members.As part of the OKG group, we aim to bring the benefits of blockchain technology to users worldwide through our flagship products, including OKX, OKX Wallet, and OKLink.About the RoleJoin our Trading Product Group, which spearheads the design of all products on OKX's derivatives trading exchange, encompassing spot trading, futures, leveraged tokens, and trading options. We are on the lookout for a Senior Data Analyst to join our Trading Analysis team.Your Responsibilities:Conduct comprehensive business analysis on trading products.Employ data-driven methodologies to identify optimal solutions for business expansion, focusing on market share, revenue growth, and user transaction costs.Enhance and refine existing data analysis tools, including automated reporting systems and dashboards, to streamline data retrieval and analysis.Investigate critical business challenges, independently formulate data models, generate regular data reports, and swiftly identify business issues.Lead independent analysis projects, providing actionable conclusions and practical strategies to inform business decisions.
Role overview NCS3 is seeking a Lead Product Engineer based in Singapore. This position leads product development from the earliest concept stages through to final delivery, with a focus on ensuring each product aligns with customer needs and meets established quality standards. What you will do Guide product development efforts from initial idea through launch Collaborate with cross-functional teams to define product specifications and design effective solutions Oversee the development process, making sure products achieve quality and performance goals Requirements Strong technical background in product engineering Demonstrated leadership experience guiding teams Ability to work across departments and communicate clearly Drive to deliver products that address real customer needs
About Soleil CollectiveSupported by Gauge Capital, Soleil Collective is on a mission to curate a dynamic portfolio of top-tier, high-growth brands in the sunless tanning, suncare, and bodycare sectors. By leveraging our expertise in sales, marketing, operations, and strategic management, we accelerate growth and enhance profitability. To date, we have successfully acquired two brands: Loving Tan and Coco & Eve.Loving Tan, recognized as the leader in luxury tanning, is celebrated for its professional quality products that deliver a naturally radiant tan, crafted on Australia’s stunning Gold Coast. Beloved by celebrities and beauty enthusiasts alike, it offers a flawless application with a natural olive tone.Coco & Eve draws inspiration from Bali, delivering sun-kissed skin and effective haircare through products made with exquisite tropical ingredients, designed to transport users to a paradise experience.The RoleWe are seeking a Contract Business Data Engineer to enhance Soleil Collective’s data capabilities across our global beauty brand portfolio. This position bridges the domains of business analysis, data engineering, and systems integration, collaborating closely with Product, Operations, and Finance teams to convert business needs into scalable data and systems solutions.In this role, you will design and optimize data pipelines, facilitate system integrations, and ensure that business requirements are effectively translated into structured technical solutions. You will engage with stakeholders to gain insights into operational workflows, analyze data, and build a reliable data infrastructure that empowers informed decision-making across the organization.In addition to technical development, you will play a vital role in gathering requirements, documentation, testing coordination, and system optimization, ensuring that new solutions are practical, scalable, and aligned with our business objectives.The ideal candidate will be adept at navigating both technical and business environments, capable of analyzing data, comprehending operational processes, and collaborating with engineering teams to deliver impactful system and data solutions.
Are you passionate about sports and data? Ready to make a significant impact? Join us at Decathlon where our mission is to "Move People through the Wonders of Sport." We are more than just a retailer; we foster a global community driven by a love for sports and innovation. In Singapore and throughout APAC, we are transforming the landscape of sport experiences by harnessing data to enhance decision-making processes daily.We are looking for an outstanding Data Engineer / Analytics Engineer to join our team in Singapore and help us solve real-world data challenges. In this pivotal role, you will serve as the link between raw data and business outcomes. Your expertise will not only help us manage data but also design the systems that drive decisions across our stores, e-commerce, and logistics operations throughout Singapore and APAC, ensuring our data solutions are scalable, efficient, and reliable.Your ResponsibilitiesDesign, develop, and optimize large-scale DBT projects, acting as the primary point of contact for DBT initiatives across the region.Create and enhance production-ready data pipelines and solutions to extract valuable insights from web scrapers, store operations, and ecosystem partners.Establish and improve CI/CD workflows to boost developer productivity, enhance cloud performance, and manage AWS & GCP infrastructure.Work closely with business teams to identify data-driven solutions, clarify requirements, and improve existing tools while fostering a data-driven culture among teammates.Champion automation, effective data use, and data-driven decision-making.Contribute actively to the data and analytics engineering community.
Thoughtworks Singapore is currently seeking applicants who possess the right to work in Singapore, specifically Singapore citizens or Singapore Permanent Residents (PR), due to the nature of our business.As a Lead Data Engineer at Thoughtworks, you will be at the forefront of developing innovative data architecture strategies that align with crucial business objectives, delivering comprehensive end-to-end data solutions. You may engage with new clients for in-depth technical assessments or comprehensive organizational evaluations, guiding them to uncover the transformative potential of data in addressing their most significant challenges. Your role will involve spearheading the design of technical solutions, possibly overseeing program inception to create new products. In addition to hands-on coding, you will lead a team to implement these solutions effectively.
Activate Interactive Pte Ltd is seeking a Data Engineer based in Singapore. This role centers on building and maintaining data architecture and analytics solutions that help drive business decisions. The work plays a direct part in how clients use data to enhance their operations. Key responsibilities Design and implement data architecture that fits specific business needs Create analytics solutions to uncover insights from complex datasets Assist teams in applying data to address operational challenges Requirements Background in data engineering, data architecture, or analytics Ability to solve problems using data-driven methods Interest in supporting clients to improve through effective data use This position offers the chance to influence how organizations make informed decisions through data.
About the RoleJane Street is seeking a skilled Data Centre Engineer to join our team in Singapore. In this pivotal role, you will ensure the security and accessibility of our data around the clock. Your responsibilities will encompass hands-on work in our data and colocation centres, as well as strategic process thinking and project management.Your primary focus will be on designing, building, scaling, and maintaining our regional data and colocation centres. You will collaborate with a diverse group of talented professionals across various disciplines at Jane Street to enhance our data environments and proactively mitigate potential issues.As part of an interdisciplinary team that includes our Network, Server, Facilities Engineering, Market Data, and Trading teams, as well as external data centre operators and service providers, you will:Develop deployment plans for new equipment, adhering to data centre best practices.Manage logistical activities across locations, including procurement, shipping, equipment inventory, cabling, and parts management.Install and configure server operating systems in a PXE environment (fundamental Linux knowledge is essential for deploying our network equipment).Install, cable, configure, and troubleshoot various types of network and server equipment.Ensure all data centres maintain the highest standards of security, organization, documentation, safety, cleanliness, and supply management.This role is critical to our daily operations in Singapore and directly influences our remote locations throughout Asia.
Join Accion Labs as a Big Data Engineer, where you'll harness the power of data to drive business insights and innovation. We are seeking a highly skilled individual who thrives in a dynamic environment and is passionate about big data technologies.Your role will involve designing and implementing scalable data solutions, collaborating with cross-functional teams, and leveraging cutting-edge tools to analyze large datasets. If you have a knack for problem-solving and a keen eye for detail, we want to hear from you!
About AirwallexAirwallex stands as the premier unified payments and financial platform designed exclusively for global enterprises. Our innovative blend of proprietary infrastructure and software enables us to empower over 200,000 businesses worldwide, including renowned names such as Brex, Rippling, Navan, Qantas, and SHEIN, by offering fully integrated solutions that streamline management of business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, our dynamic team consists of over 2,000 talented and innovative tech professionals across 26 offices globally. With a valuation of US$8 billion and support from industry-leading investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of shaping the future of global payments and financial platforms. If you're prepared to embark on the most ambitious journey of your career, we invite you to join us.Values We CherishWe seek talented builders with entrepreneurial spirit looking to make a significant impact, gain rapid learning opportunities, and possess true ownership of their work. You will bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in fast-paced environments, exercise sound judgment, delve deeply with curiosity, and base your decisions on fundamental principles, balancing agility and thoroughness.You embody humility and collaboration, transforming innovative ideas into tangible products, and you excel at executing tasks from inception to completion. Leveraging AI, you enhance your efficiency and expedite problem-solving processes. Here, you will engage with complex, high-stakes challenges alongside exceptional colleagues and advance your career as we redefine the future of global banking. If this resonates with you, let's create what comes next.About Our TeamOur global team, spanning Australia, China, the USA, and Singapore, is dedicated to revolutionizing applied data science, data engineering, and platform solutions to support the rapid growth of Airwallex. You will collaborate with a diverse array of cross-functional partners—including Product, Engineering, Marketing, Sales, Finance, and more—to address intricate data challenges and help shape the future of fintech. Discover more about the data science team in this blog.This role is based in Singapore.
About AvePoint:AvePoint is a pioneering force in the realm of data management and governance. With over 21,000 clients globally, our innovative solutions enhance digital workplace experiences across platforms like Microsoft, Google, and Salesforce. Our extensive channel partner network comprises more than 3,500 managed service providers and value-added resellers, making our services accessible in over 100 cloud marketplaces. Discover more about us at www.avepoint.com.At AvePoint, we prioritize investing in our people. Our core values of agility, passion, and teamwork empower you to shape your career, make a significant impact, and take charge of your future. Join us to unleash your potential!About the Role:As a Data Engineer, you will be instrumental in supporting our Data Movement project, which entails building, integrating, and testing a comprehensive Data Toolkit. This toolkit aims to standardize efforts across the organization to enhance Data Ingestion and Observability. You will also execute and assist in the migration of systems and data from legacy systems to the new Data Toolkit.
Mar 4, 2026
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