Lead Data Engineer

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.

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.

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.

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.

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.

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.

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 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 Our Team as a Data Engineer!At fuku, we are committed to harnessing the power of data while ensuring compliance and integrity. As a Data Engineer, you will play a crucial role in transforming our regional datasets into valuable insights. Your responsibilities will include:- Conducting thorough data inspection, classification, and profiling to evaluate sensitivity and ensure compliance.- Designing and implementing robust data pipelines for desensitization, masking, anonymization, and pseudonymization before data ingestion.- Maintaining well-organized, compliant datasets that support downstream analytics and reporting needs.- Facilitating both user-level and aggregated data analysis while adhering to regional regulations.- Collaborating with data governance, security, and legal teams to effectively translate regulatory requirements into technical controls and workflows.- Upholding compliance-by-design principles: no desensitization means no data ingestion; no inspection means no exposure.- Contributing to the continual enhancement of data quality, lineage, metadata management, and auditability.- Engaging in platform construction and administration with a strong focus on security protocols (e.g., RBAC, MFA, IP allowlists).

XP Power seeks an Engineering Data Analyst based in Singapore. This position partners with engineering teams to transform data into useful insights that shape product development and streamline processes. Key responsibilities Study complex data sets to identify trends and patterns relevant to engineering projects Create predictive models that support decision-making and guide product development Support initiatives to improve operational efficiency across engineering functions Requirements Background in data analysis within an engineering environment Skill in turning data findings into actionable recommendations Keen analytical skills and strong attention to detail

About ClickHouseFeatured in the 2025 Forbes Cloud 100, ClickHouse is a leader in innovation and growth among private cloud companies. With a customer base exceeding 3,000 and an annual recurring revenue (ARR) that has surged over 250% year-over-year, we excel in real-time analytics, data warehousing, observability, and AI workloads.Our remarkable growth was recently validated by a $400 million Series D funding round. In just three months, we've welcomed new customers like Capital One, Lovable, Decagon, Polymarket, and Airwallex, joining our existing roster of AI trailblazers and global brands, including Meta, Cursor, Sony, and Tesla.Join us as we revolutionize the way companies harness data!About the TeamThe Release Team is dedicated to the seamless and secure delivery of ClickHouse Cloud, a managed database platform that operates tens of thousands of ClickHouse clusters. Our responsibilities include scaling upgrades and maintenance of these clusters, developing the internal tools that facilitate this process, and serving as the final line of defense when unexpected issues arise.About the RoleThis position offers a balanced mix of operational execution and software development. You will oversee operations: coordinating upgrades, managing exceptions that deviate from the norm, and ensuring the health of thousands of clusters in production. Concurrently, you will enhance the systems that make each rollout safer and more automated than the last. If you thrive on both crafting and implementing processes, including navigating the complexities, we want you on our team!What You'll DoPlan and implement rolling upgrades across a vast array of ClickHouse clusters, prioritizing safety, accuracy, and minimal disruption to customers.Manage the entire release pipeline, from pre-upgrade validation and staged rollouts to post-upgrade monitoring and incident response.Analyze and resolve production issues as part of a regular on-call schedule, including unique clusters and scenarios that current automation cannot address.Develop and refine the internal tools and automation that ensure reliable and repeatable large-scale database operations.Collaborate closely with core database and cloud infrastructure teams to identify and resolve operational challenges.Provide support and training to other engineering teams utilizing our internal tools.

Join OKX as a Senior Data Engineer focused on enhancing our compliance data infrastructure. In this pivotal role, you will be responsible for designing and implementing robust data solutions that ensure regulatory compliance and data integrity. Collaborate with cross-functional teams to develop scalable data pipelines and optimize data architecture for enhanced performance.

Join CSIT, where we are committed to advancing Singapore's national security through innovative technology. We are seeking experienced senior data engineers to spearhead the development of critical products aimed at identifying, analyzing, and investigating threats. Your expertise will play a pivotal role in our diverse applications ranging from counter-terrorism initiatives to robust computer network defense strategies.

About AirwallexAirwallex stands as the premier unified payments and financial platform dedicated to empowering global businesses. Leveraging our proprietary infrastructure and state-of-the-art software, we support over 200,000 businesses worldwide—including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN—with fully integrated solutions designed for comprehensive management of business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we proudly boast a diverse team of over 2,000 innovative tech professionals across 26 offices globally. With a valuation of US$8 billion, our company is backed by top-tier investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital. Join us in shaping the future of global payments and finance by taking on the most ambitious work of your career.Attributes We ValueWe seek talented builders who possess a founder-like mentality and are driven by the desire for meaningful impact, accelerated learning, and genuine ownership. You bring a wealth of role-related expertise and sharp analytical skills, and you resonate with our mission and operating principles. You thrive in fast-paced environments, exercise sound judgment, and approach challenges with curiosity, making decisions based on first principles while balancing speed and thoroughness.A humble and collaborative team player, you excel at transforming innovative ideas into tangible products and ensure projects are executed successfully from start to finish. You leverage AI to enhance productivity and expedite problem-solving. Here, you'll confront complex, high-visibility challenges alongside exceptional colleagues and advance your career as we redefine global banking.(Senior) Data Platform Engineer, Growth Data PlatformHiring Location: Singapore (Or, Shanghai, China)Preliminary Note - Basic Information About This Role: As a Senior Data Platform Engineer in the Knowledge Platform Team, you will engage directly with the Growth Team's business scenarios.Who We Are? Team Introductions:The Knowledge Platform team is integral to our company's data and AI strategy. We are constructing the foundational infrastructure that enables the entire organization to utilize data, AI, and ML for significant business outcomes. Our mission is to create platforms that empower...

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.