Data Engineer at AvePoint | Singapore

As a Managing Principal in our Data division, you will lead a team of skilled professionals to drive data-driven strategies across various industries. Your expertise will be crucial in shaping our clients' data landscapes, ensuring they leverage analytics to make informed decisions.Key responsibilities include overseeing data projects, enhancing data governance, and developing advanced analytics solutions. You will work closely with clients to understand their unique needs and provide tailored recommendations that align with their business objectives.

Join Capco as a Managing Principal in our Business Consulting division, where you will lead transformative initiatives for financial institutions. This role calls for an innovative leader with a strong track record in business strategy, operational excellence, and delivering impactful solutions to clients. You will be responsible for driving growth, managing client relationships, and mentoring teams to achieve their full potential.

As a Project Manager in the Insurance sector at Capco, you will play a pivotal role in leading and delivering high-impact projects. You will collaborate with cross-functional teams to ensure that projects are completed on time, within scope, and aligned with client objectives. Your expertise in project management methodologies will be essential as you guide teams through the project lifecycle, from initiation to closure.You will be responsible for stakeholder engagement, risk management, and the overall success of the projects you oversee. This is an exciting opportunity for you to make a significant impact within a rapidly evolving industry.

Join Capco, a Wipro company, as a Consultant, Senior Consultant, or Principal Consultant specializing in Data, and be part of a global leader in technology and management consultancy. At Capco, we are dedicated to facilitating digital transformation within the financial services sector. Our impressive client roster includes over 100 esteemed organizations worldwide. We combine innovative strategies with unparalleled industry insight to deliver comprehensive, data-driven solutions that accelerate digital initiatives across banking, payments, capital markets, wealth and asset management, insurance, and energy sectors. Experience our commitment to creativity through our Innovation Labs and embrace our award-winning culture that values individuality and diversity.Expertise in Banking, Capital Markets, and Wealth & Asset Management.Rapidly expanding capabilities within the Insurance sector.Specializing in Digital Transformation, Data Management & Analytics, Business & Finance Transformation, and IT Change Programs.Committed to attracting and nurturing top-tier talent in the industry.Focused on maintaining a dynamic and entrepreneurial environment.About the RoleAs a Consultant, Senior Consultant, or Principal Consultant in Data, you will leverage your extensive data knowledge to formulate actionable strategies that drive sustainable business outcomes for our clients. Your role will encompass conducting thorough analyses, designing effective solutions, and providing consulting support for leading clients in the Financial Services and Insurance sectors. You will develop a deep understanding of our clients’ strategic objectives and issues while collaborating within a team that treats clients as partners.

Join Grab as a Principal Engineer for Payments, where you will be at the forefront of transforming digital payment solutions in Southeast Asia. You will lead a team of talented engineers to design and implement scalable payment systems that enhance user experience and drive business growth.Your expertise will contribute to innovative solutions that meet the diverse needs of our customers, ensuring seamless transactions across various platforms. This is an exciting opportunity to shape the future of payments in a rapidly evolving market.

*Thoughtworks Singapore is currently accepting applications exclusively from individuals with the right to work in Singapore, specifically Singapore Citizens and Singapore Permanent Residents, due to business requirements.As a Principal Developer at Thoughtworks, you will take on a multifaceted role that adapts to the unique needs of our clients. This may involve acting as a technical advisor to senior client executives, steering solution architecture for large technical initiatives, or directly driving hands-on technical implementations alongside our delivery teams.Your role will also encompass providing both strategic and tactical leadership on client accounts, establishing yourself as a trusted advisor through impactful interactions. By fostering a culture of high-performing teams, you will consistently deliver exceptional value to our clients, thereby contributing to the growth and evolution of our business. The success of an account reflects the quality and efficiency you cultivate within your team.

About UsPhysicsX is a pioneering deep-tech company with a strong foundation in numerical physics and Formula One, dedicated to revolutionizing hardware innovation at software speed.We are developing an AI-powered simulation software stack designed for engineering and manufacturing across high-tech industries. By harnessing high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX enables unprecedented levels of optimization and automation in design, manufacturing, and operations—empowering engineers to explore new possibilities. Our clientele includes leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We're SeekingAs a Principal Data Scientist (Algorithm Engineer) in our Delivery team, you will be an accomplished problem solver and technical leader, passionate about crafting practical solutions that empower customers to enhance their engineering decisions. You possess the ability to comprehend complex engineering concepts across diverse industries, spearhead technical initiatives, and collaborate directly with clients, often working alongside them to integrate cutting-edge AI models into functional tools.You have a proven track record of addressing challenging problems that demand strong foundations in data-driven modeling and deep learning techniques, with substantial hands-on experience in probabilistic methods and predictive modeling. Your proficiency in Python, complemented by advanced expertise in libraries such as NumPy, SciPy, Pandas, TensorFlow, and PyTorch, is critical, along with a demonstrated ability to design and deploy scalable, production-grade models and data pipelines.With extensive industry experience (post-Master's or PhD) in a commercial setting, you are prepared to not only execute but also lead and mentor others. You are enthusiastic about advancing both your technical knowledge and leadership capabilities, naturally taking ownership of complex data science initiatives and guiding teams toward success. You continually enhance the systems and solutions you engage with, ensuring 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 engineering and physics challenges while providing technical leadership to your team.You will lay the groundwork for successful, impactful solutions by:

Role Overview: Senior Principal Data Engineering LeadLocation: SingaporeWe are seeking a dynamic leader to head and expand the Data Engineering, DataOps, and Data Stewardship functions within our Data organization. This pivotal role is responsible for the flawless end-to-end delivery of our cloud-native data platform, encompassing data ingestion, transformation, modeling, and operational management, thereby facilitating reliable, high-quality, and self-service analytics across various business domains.Key Responsibilities:Team Leadership: Attract, mentor, and guide a diverse team of data engineers and stewards across Singapore, Malaysia, and India, fostering in-house technical expertise and accountability for project delivery.Data Engineering Delivery: Supervise the design, development, and optimization of ELT/ETL pipelines and data models, ensuring workflows are scalable, reusable, and cost-effective.Data Quality & Stewardship: Establish stewardship protocols — define ownership frameworks, implement data quality monitoring, and drive remediation processes in collaboration with cross-functional data users.Operational Excellence: Oversee daily pipeline operations, ensuring SLA adherence and effective resolution of production issues through thorough root-cause analysis and a focus on continuous improvement.Technical Governance: Establish engineering standards for observability, role-based access control (RBAC), cost tagging, and continuous integration/continuous deployment (CI/CD) practices.Collaboration & Enablement: Foster self-service analytics by curating reliable datasets and modeled views in partnership with BI and business teams.

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.

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.

Join AirwallexAt Airwallex, we are redefining global financial services. As the only all-in-one payments and financial platform designed for international businesses, we leverage our cutting-edge technology and proprietary infrastructure to support over 200,000 companies worldwide, including industry leaders like Brex, Rippling, Navan, Qantas, and SHEIN. Our solutions integrate business accounts, payment processing, spend management, treasury functions, and embedded finance seamlessly.Founded in Melbourne, we boast a diverse team of over 2,000 innovative professionals spread across 26 global offices. Valued at $8 billion and backed by top-tier investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of shaping the future of global banking. If you are ready to take on the most ambitious challenge of your career, we invite you to join our journey.What We Look ForWe seek dynamic builders with a founder’s mindset who are driven by impact, rapid learning, and ownership. You possess significant expertise and analytical skills, and you resonate with our mission and operating principles. Your approach is swift yet judicious, and you leverage curiosity to delve deep into problems, making informed decisions based on first principles.Collaboration and humility define your work style; you turn abstract ideas into tangible products and ensure projects are executed from start to finish. By harnessing AI, you work efficiently to resolve challenges swiftly. At Airwallex, you will engage with complex, high-impact problems alongside exceptional colleagues, propelling your career forward as we shape the future of global finance.Your RoleIn your capacity as the technical backbone of the FP&A team, you will oversee the maintenance of financial data and build the infrastructure necessary to convert raw data into strategic insights through dashboards and management reports. This position requires a strong technical foundation and a commitment to continuous improvement, emphasizing data governance and workflow automation.You will transition from traditional spreadsheet methods to AI-driven solutions using SQL, Python, and Large Language Models (LLMs) to develop and manage the FP&A data infrastructure roadmap. Collaborating closely with our Data & AI Engineering team, you will ensure the functionality of automated pipelines that connect our internal systems.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. With our distinct blend of proprietary technology and software, we empower over 200,000 businesses internationally—including notable names like Brex, Rippling, Navan, Qantas, and SHEIN—with seamlessly integrated solutions to manage everything from business accounts and payments to spend management, treasury, and embedded finance on a global scale.Originating from Melbourne, our team comprises over 2,000 of the brightest talents in technology, spread across 26 global offices. Valued at $8 billion and supported by top-tier investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of developing the future of global payments and banking. If you’re prepared to embark on the most ambitious journey of your career, we invite you to join us.Core Attributes We SeekWe value builders with a founder-like spirit eager to make a significant impact, experience rapid growth, and take genuine ownership. You possess profound expertise and insightful thinking, driven by our mission and operating principles. You adapt quickly, make sound judgments, and approach problems with curiosity and rigor.You embody humility and collaboration; transforming innovative ideas into tangible products, and you thrive in executing projects from inception to completion. Leveraging AI, you enhance productivity and expedite problem-solving. Here, you’ll confront complex, high-impact challenges alongside exceptional colleagues, while advancing your career as we shape the future of global banking. If this resonates with you, let’s create what’s next.Lead Principal Architect, Data Knowledge PlatformLocation: SingaporeTeam Overview:The Knowledge Platform team is central to our data and AI strategy. We are developing the foundational infrastructure that enables the entire organization to harness data, AI, and machine learning for impactful business outcomes. Our mission is to create platforms that manage the complete data and AI/ML lifecycle, streamlining user interaction while ensuring safety and governance. This encompasses managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technologies that serve that data to our users (RAG, MCP, etc.), and the platforms that host and govern these AI/ML models.

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).

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 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.

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.

Role overview ncs3 is hiring a Data Scientist in Singapore. This position centers on analyzing complex data and supporting data-driven choices throughout the company. Collaboration with colleagues from various departments is a key part of the role, especially when building predictive models and contributing to business strategy. What you will do Examine large and diverse datasets to identify patterns and provide actionable insights Create predictive models that guide business planning Collaborate with teams across the organization on data-focused projects Contribute to ongoing efforts to enhance business results through data analysis Location Based in Singapore

PRISM+ is a Singapore-based electronics company recognized for offering premium products at accessible prices. The brand began in 2017 as a direct-to-consumer specialist in display technology and has since become a leading name in monitors and smart TVs throughout Singapore. Its product lineup now spans a range of home electronics and appliances, with operations reaching Australia, Malaysia, and the Philippines. The team at PRISM+ values original thinking and practical results. Employees find their ideas taken seriously and have opportunities to develop their skills. The company’s focus remains on creating meaningful changes in consumer technology and delivering strong value to customers. Role overview This Data Analyst position is based in Singapore. The role centers on supporting business decisions and strategy through data-driven insights. The analyst will work within a team that encourages initiative and values contributions that shape both products and customer experience.