Data Engineer Position at ncs3 | Singapore

BJAK develops an insurance and financial services platform focused on usability and personalization. As a leading insurance platform in Southeast Asia, BJAK is expanding internationally while maintaining strong standards for technology and product quality. The company values initiative and ownership, and encourages growth, autonomy, and meaningful contributions from its team. Role overview The Data Engineer in Singapore will build and maintain the data infrastructure that powers analytics, product insights, and downstream systems at BJAK. Collaboration with analytics, product, and engineering teams is central to keeping data reliable, accessible, and production-ready at scale. Main responsibilities Design, build, and maintain scalable data pipelines, both batch and streaming, for business and product data. Integrate data from APIs, databases, event streams, and third-party sources, with attention to quality and reliability. Create and manage data models and storage solutions such as data warehouses and data lakes to support analytics and applications. Work with analytics, product, and engineering teams to deliver clean, well-documented datasets for self-service analytics and experimentation. Set up monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency. Follow data governance practices, including access control, privacy, documentation, and tracking data lineage. Requirements Minimum 3 years of experience in Data Engineering, data-focused Backend Engineering, or a related field. Proficient programming skills in Python and/or TypeScript, with strong SQL knowledge. Solid understanding of data modeling, ETL/ELT processes, and analytics workflows. Hands-on experience with data warehouse platforms such as BigQuery or Snowflake. Proven ability to build and manage production-grade data pipelines. Preferred skills Experience with cloud platforms, especially Google Cloud Platform (GCP). Familiarity with streaming technologies like Kafka or Pub/Sub.

BJAK is a major insurance platform in Southeast Asia, working to reshape how insurance and financial services operate. The company emphasizes user-friendly design, intelligent systems, and personalized experiences. As BJAK expands globally, the team invests in technology and product quality, seeking people who value innovation and accountability. Team members find opportunities for autonomy, growth, and real impact. Role overview The DevOps Engineer develops and manages the infrastructure that supports BJAK’s engineering teams in Singapore. This position collaborates with developers to build deployment workflows, oversee production systems, and enhance the reliability, security, and performance of cloud environments. The role suits someone who enjoys full ownership of systems, solving production challenges, and supporting agile product teams. Main responsibilities Design, implement, and manage CI/CD pipelines for automated build, testing, and deployment. Operate and scale Kubernetes clusters, including EKS, GKE, AKS, or self-managed options. Provision and maintain cloud infrastructure using Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation. Improve system reliability, performance, availability, and scalability. Set up and maintain monitoring, logging, and alerting systems (for example, Prometheus, Grafana, ELK, Datadog). Support zero-downtime deployments, rollback procedures, and release strategies. Troubleshoot production issues, including latency, errors (such as 502 errors), pod failures, OOMs, and networking problems. Apply security best practices, including secrets management, IAM, and network policies. Work closely with software engineers on deployment strategies, system architecture, and operational readiness. Requirements Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Strong background in Linux environments and shell scripting. Hands-on experience with Docker and Kubernetes. Familiarity with CI/CD tools and workflows. Proficiency with cloud services and technologies. Strong problem-solving skills and a proactive approach to managing systems. Location Singapore

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 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).

Securing the Future with AvePointAvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our extensive global channel partner program encompasses more than 3,500 managed service providers, value-added resellers, and systems integrators, with our innovative solutions featured in over 100 cloud marketplaces. To learn more about us, visit www.avepoint.com.At AvePoint, we are committed to investing in our team members. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us!

Job OverviewJoin our dynamic team at Manusai as an experienced Data Engineer, where you will take the lead in enhancing the efficiency, performance, and reliability of our data infrastructure. You will conduct thorough audits of our existing systems, pinpoint areas for improvement, and implement robust solutions that ensure our data is both high-performing and trustworthy. This pivotal role is essential in establishing a reliable source of truth for data that empowers our analytics and data science teams to extract actionable insights confidently. You will play a key role in building and maintaining a scalable and resilient data ecosystem that aligns with our strategic objectives.Key ResponsibilitiesInfrastructure Auditing & Optimization- Perform detailed audits of the current data infrastructure to evaluate its efficiency, scalability, and performance.- Identify performance bottlenecks and propose optimization strategies.- Redesign and modernize data pipelines to enhance scalability and minimize latency.- Set up monitoring and alerting systems to proactively manage infrastructure issues.Data Pipeline & ETL Development- Design, build, and maintain robust ETL/ELT processes to ingest data from diverse sources.- Assemble large, complex datasets that fulfill both functional and non-functional business requirements.- Automate manual data processes to enhance efficiency and minimize human error.Ground Truth Data Source Management- Create and sustain a centralized, dependable source of truth for all essential business data.- Implement stringent data quality checks and validation processes to guarantee accuracy and consistency.- Advocate for and enforce data governance best practices, including data lineage and metadata management.Collaboration & Support- Collaborate closely with data scientists, analysts, and other stakeholders to understand their data needs and provide necessary support.- Develop analytical tools and offer technical support to enable effective utilization of the data infrastructure.- Serve as a subject matter expert in data engineering best practices and promote their adoption within the organization.

About Plaud Inc.Plaud is on a mission to create the world's most reliable AI work companion for professionals, designed to enhance productivity and performance through innovative note-taking solutions. Since our inception in 2023, we have been embraced by over 1,500,000 users globally. Our vision is to elevate human intelligence by developing next-generation infrastructure and interfaces that capture, extract, and leverage insights from what you say, hear, see, and think.Operating from our San Francisco headquarters and incorporated in Delaware, Plaud pushes the boundaries of human-AI collaboration through a synergistic hardware-software approach. We adhere to the highest standards of data security and privacy, holding certifications such as ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031.To learn more about Plaud, visit our website and follow us on Instagram, X, Facebook, LinkedIn, and YouTube.Why Join Us?At Plaud, we are constructing the future of intelligence infrastructure, enabling the capture and utilization of insights from human interactions.We are a self-funded, rapidly growing, and profitable company, achieving a remarkable $250M revenue run rate within just three years.Help define the future paradigm for human-AI interactions.Gain exposure to cutting-edge AI tools and play a pivotal role in our global expansion.Collaborate with a passionate team that values innovation, teamwork, and customer success.Advance your career in a culture that promotes continuous learning and personal development.

Role overview ncs3 is looking for a Data Engineer with experience in Databricks to join the Singapore team. The position focuses on building and improving data pipelines and analytics solutions. These efforts help drive data-informed decisions and deliver valuable insights for clients. What you will do Design and optimize data pipelines using Databricks Create analytics solutions that address business and client requirements Collaborate with cross-functional teams to transform raw data into actionable insights Uphold high standards for data quality and integrity Location This role is based in Singapore.

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 AvePoint:AvePoint is a global pioneer in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplace across Microsoft, Google, Salesforce, and other collaborative environments. Our extensive global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions available in over 100 cloud marketplaces. To discover more, please visit www.avepoint.com.At AvePoint, we prioritize investing in our people. Our culture thrives on agility, passion, and teamwork, empowering you to develop your career, make a significant impact, and shape your future. Unleash your potential with us!About the Role:We are on the lookout for a highly skilled and experienced Big Data Engineer to become part of our dynamic team. The ideal candidate should possess a minimum of 4 years of experience managing data engineering tasks in a big data environment, such as Cloudera Data Platform, with an overall experience range of 4 to 10 years. We prefer candidates with a background as a Consultant or Senior Consultant. The successful candidate will be tasked with designing, developing, and maintaining data ingestion and processing jobs in line with business requirements, as well as integrating data sets for seamless access by users.

Join our dynamic team at plaud as a Data Engineer specializing in building and optimizing our cutting-edge data platform. You will play a pivotal role in developing scalable data pipelines, ensuring data integrity, and providing actionable insights to drive strategic decisions.If you are passionate about data and want to work in a fast-paced environment, this is the perfect opportunity for you!

Join Airwallex as a Senior Data EngineerAt Airwallex, we are redefining global financial solutions. Our innovative platform, backed by cutting-edge proprietary technology, empowers over 200,000 businesses worldwide—including renowned names like Brex, Rippling, Navan, Qantas, and SHEIN. We facilitate seamless management of business accounts, payments, spend management, treasury, and embedded finance on a global scale.Proudly founded in Melbourne, our dynamic team of over 2,000 talented professionals spans across 26 offices worldwide. With a valuation of US$8 billion and support from leading investors such as T. Rowe Price, Visa, and Mastercard, we are on a mission to build the future of global banking. If you are eager to take on ambitious challenges and make a significant impact, we invite you to join us!What We Look ForWe seek builders with entrepreneurial spirit who strive for genuine impact and accelerated learning. You will bring your expertise and innovative thinking to our mission and operating principles. You are quick to act with sound judgment, curious to explore deeply, and adept at making informed decisions that balance speed and thoroughness.We value humility and collaboration; you will transform ideas into tangible products while ensuring completion from start to finish. Utilizing AI, you will enhance efficiency and tackle complex challenges alongside exceptional colleagues, all while advancing your career. If this resonates with you, let's shape the future together!Your RoleData Modeling Responsibilities:Design and implement robust, scalable data models that cater to business intelligence, machine learning, and operational requirements.Demonstrate a deep understanding of data schemas and select appropriate designs (e.g., star schema, snowflake) based on specific use cases.Collaborate with business teams to translate their data needs into structured, well-documented models.

ncs3 is looking for a Data Engineer with experience in Databricks to join the team in Singapore. This role centers on using data to guide important decisions and enhance daily operations. Projects rely on strong data processing and analytics, and this position plays a key part in making those efforts successful. Key responsibilities Use Databricks to process and analyze data for a range of company initiatives Support projects that depend on data-driven approaches to business strategy and operational improvement Apply technical skills to deliver effective data solutions that help projects reach their objectives Location This position is based in Singapore.

Join Our Team as a Senior Data Engineer!At Plaud Inc., we are on a mission to revolutionize the workplace through groundbreaking AI technology. As a Senior Data Engineer focusing on Data Warehousing, you will play a pivotal role in enhancing our data infrastructure, enabling us to serve over 1,000,000 users globally since our inception in 2023.Our innovative solutions are designed to capture, analyze, and utilize human intelligence in unprecedented ways. If you are passionate about data engineering and eager to contribute to a fast-growing company committed to excellence, we want to hear from you!

Assurity Trusted Solutions (ATS), a proud subsidiary of the Government Technology Agency (GovTech), has established itself as a trusted partner in delivering a holistic range of products and services over the past decade. Our offerings span infrastructure and operational services, authentication services, governance and assurance services, as well as managed processes. In today's ever-evolving digital and cyber landscape, where trust and collaboration are paramount, ATS is dedicated to fostering collaborative efforts with GovTech, government agencies, and commercial partners to effectively mitigate cyber risks and enhance security frameworks.Key Responsibilities:Design, implement, and maintain robust data pipelines and ETL processes to ingest, catalog, and normalize data, ensuring optimal data quality and accessibility.Develop and manage APIs for seamless data access, integration, and delivery to diverse stakeholders.Work closely with cross-functional teams to understand requirements and transform them into effective technical solutions.Structure and document data transformation processes to improve efficiency and sustainability.Lead data modeling initiatives to ensure that the data architecture aligns with business objectives and analytical projects.Configure and maintain a central data catalog or metadata repository such as DataZone or similar governance platforms.Implement data governance best practices while ensuring compliance with applicable regulations.Collaborate with Project Managers, Frontend Developers, UX Designers, and Data Analysts to create scalable, data-driven products.Assist data consumers in subscribing to and utilizing approved data products across various domains.Develop backend APIs and manage databases to support applications.Participate in an Agile environment that emphasizes Continuous Integration and Delivery.

Join Accion Labs as a Senior Big Data Engineer and play a pivotal role in shaping our data infrastructure and analytics capabilities. You will collaborate with cross-functional teams to design, develop, and implement robust data solutions that drive business insights and strategic decision-making.Your expertise in big data technologies will enable you to handle large datasets efficiently while ensuring data quality and integrity. If you are passionate about leveraging data to create impactful solutions, we would love to hear from you!

About UsPhysicsX is a pioneering deep-tech company rooted in numerical physics and Formula One, committed to accelerating hardware innovation at the speed of software.We are developing an AI-powered simulation software suite for engineering and manufacturing in cutting-edge industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the entire engineering lifecycle, PhysicsX unveils unparalleled levels of optimization and automation in design, manufacturing, and operations—empowering engineers to transcend limits. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We’re Looking ForAs a Senior Data Scientist in the Delivery team, you will be a seasoned problem solver and technical leader who is enthusiastic about crafting practical solutions that empower customers to enhance their engineering decisions. You have a strong grasp of advanced engineering concepts across various industries, can spearhead technical initiatives, and excel in collaborating directly with clients—often working side-by-side with them on-site—to integrate cutting-edge AI models into tools that are both functional and impactful.You have a proven track record of tackling complex problems requiring a solid foundation in data-driven modeling and deep learning techniques, alongside extensive hands-on experience with probabilistic methods and predictive modeling. Your proficiency in Python, along with advanced skills in libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch, is critical, with a demonstrated capability to architect and deploy scalable, production-ready models and data pipelines.With 3-5 years of industry experience (post-Master's or PhD) in a commercial, non-research environment, you are ready to not only execute tasks but also mentor and lead others. You are genuinely excited about enhancing both your technical expertise and leadership capabilities, naturally assuming ownership of complex data science workflows and guiding teams towards success. You continuously refine the systems and solutions you work on to ensure they are practical, impactful, and aligned with the evolving needs of our customers.This RoleIn this senior position, you will collaborate closely with our Simulation Engineers, Machine Learning Engineers, and clients to identify and define the engineering and physics challenges we aim to address, while providing technical leadership to your team.You will lay the groundwork for successful, impactful solutions by:Leading the pre-processing and analysis of complex data to prepare it for predictive modeling, establishing best practices...

About the PositionAt Manusai, we are at the forefront of utilizing data to shape the future of AI-enhanced productivity. We are on the hunt for a proactive and commercially-aware Data Analyst to become an integral part of our dynamic team, collaborating closely with business leaders, product managers, and engineers. In this pivotal role, you will play a critical part in our decision-making framework, converting complex datasets into actionable insights that steer product strategies, boost growth, and elevate the user experience. If you have a strong passion for deciphering user behaviors and leveraging data to drive business success within a high-energy AI landscape, this opportunity is tailor-made for you.Key ResponsibilitiesBusiness & Growth Analysis- Assess key business indicators, including revenue, costs, and profitability, to present a transparent view of performance and support strategic planning efforts.- Execute thorough analyses on user acquisition, retention, and expansion trends to pinpoint growth opportunities while optimizing marketing strategies.- Create and uphold dashboards and reports that deliver actionable insights to stakeholders across various departments.Product & User Insights- Develop and assess A/B tests to gauge the effectiveness of new features and product modifications, offering data-driven suggestions for product enhancement.- Conduct in-depth analyses of user interactions with our product to identify pain points and avenues for improvement.- Perform cohort analyses and user segmentation to reveal trends in engagement and value, guiding targeted product and marketing strategies.QualificationsBusiness Acumen- A solid understanding of business dynamics with the ability to translate data into practical actions.- Strong commercial insight, with experience in SaaS business models, user operations, or AI products being a significant advantage.Analytical & Technical Skills- Proficiency in SQL for advanced data querying and familiarity with Python for data analysis and automation tasks.- Expertise in utilizing data visualization tools to produce insightful and comprehensible dashboards.Collaboration & Communication- Excellent verbal and written communication skills, capable of conveying complex analytical findings to both technical and non-technical audiences.- A collaborative spirit and the ability to work effectively in a cross-functional team environment.