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Senior Software Engineer 3 2c Query Execution in Singapore

283 active opportunities · Updated October 2026

Explore current senior software engineer 3 2c query execution jobs across Singapore. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Singapore· Full-time
✓ Quality checkedCompany trend -100%

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. BUILD WHATS NEXT FOR AI AND DATA IN ASEAN This is not a typical product marketing role. At Snowflake, you’ll help shape how the ASEAN market understands, adopts, and accelerates the future of the AI Data Cloud. You’ll sit at the intersection of product marketing, technical evangelism, go-to-market strategy, and industry influence—bringing together customers, partners, sellers, and marketers around one of the most important technology shifts of our time. If you thrive on turning complex technology into market momentum, love being in front of customers and communities, and want to make a visible impact in one of the world’s most exciting growth regions, this role was built for you. WHY THIS ROLE IS EXCITING Snowflake is scaling fast, and ASEAN is a strategic growth market. In this role, you won’t just support the business—you’ll help define how Snowflake wins in-region. You’ll be the voice of Snowflake’s AI Data Cloud across the market, translating innovation into relevance for customers, shaping go-to-market strategy, and influencing adoption at scale. With more than 13,000 customers already using Snowflake to modernize data access, accelerate analytics, and unlock data-driven insight, you’ll help drive the next wave of growth powered by AI. WHAT YOU'LL DO Lead Snowflake’s P

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📍 Singapore· Full-time
✓ Quality checkedCompany trend -100%

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Sales Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, incl

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📍 Singapore· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

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