Research Associate, Data Engineer

About Bridgewater Bridgewater Associates stands as a leading asset management firm, dedicated to providing unparalleled insights and collaboration for sophisticated global institutional investors. Our investment strategy is propelled by an unwavering commitment to understanding the dynamics of global markets and economies, utilizing cutting-edge technology to affirm and implement timeless investment principles. Established in 1975, we foster a community of independent thinkers devoted to excellence. By nurturing a culture of openness, transparency, and inclusivity, we aim to unravel the most intricate challenges in investment strategy, management, and corporate culture. Discover more about Bridgewater by visiting our website here.

Who We Are:At Exiger, we revolutionize supply chains to provide a competitive edge—our mission is to create a safer and more transparent environment for businesses to thrive. Our cutting-edge AI platform, 1Exiger, offers immediate insights into intricate supplier ecosystems, utilizing proprietary data and advanced AI technology to identify risks, streamline compliance, and drive efficiencies that enhance long-term resilience. Trusted by over 550 global clients, including Fortune 500 firms and U.S. government entities, Exiger stands as an award-winning leader in supply chain AI and a FedRAMP® authorized provider.Position Overview: Associate, Research & Delivery (Location: Singapore)Join Exiger's dynamic APAC team as we seek driven and inquisitive individuals dedicated to enhancing business safety. We are on the lookout for resourceful professionals with a blend of due diligence expertise and exceptional customer service skills, based in our Singapore office. In this role, you will acquire practical skills in due diligence research and gain comprehensive knowledge about our full suite of offerings, contributing to daily client success processes.This is a unique opportunity to be part of an exceptional team within a rapidly growing company, enabling you to make a significant impact while advancing your career trajectory.

Join Bridgewater Associates as a Research Associate, Quantitative Developer. Our firm stands as a leader in asset management, dedicated to providing unparalleled insights and partnerships to sophisticated global institutional investors.Our investment methodology is rooted in a relentless quest to decode the mechanisms of global markets and economies, leveraging state-of-the-art technology to validate and implement timeless investment principles.Founded in 1975, we foster a community of independent thinkers committed to excellence. We cultivate a culture of openness, transparency, and inclusion, striving to unravel complex questions surrounding investment strategy, management, and corporate culture.Discover more about our firm by visiting our website here.

At Exa, we are on a mission to revolutionize the search engine landscape for AI applications. Our team is dedicated to building a cutting-edge search engine from the ground up, integrating massive-scale infrastructure that efficiently crawls the web, trains advanced embedding models for indexing, and develops high-performance vector databases in Rust. We proudly operate a $5 million H200 GPU cluster that powers tens of thousands of machines, enabling us to push the boundaries of what’s possible in search technology.As a Generalist Research Engineer, you will play a pivotal role in enhancing our search and retrieval systems, including crawling, parsing, machine learning performance, and retrieval algorithms. Our focus is on delivering top-notch search quality for our customers, and your contributions will be integral to this goal.

Why You Should Consider Joining Us: At SonarSource, we are a collective of exceptional, driven professionals committed to empowering organizations to produce secure, high-quality code with efficiency and precision. Our solutions address root problems directly—starting with the source code itself. Our vibrant company culture spans across multiple countries, including our offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe in creating an environment where team members take pride in their work, are passionate about their contributions, and are motivated by the synergy of their colleagues. With strong ties to the open-source community, our mission is clear: to deliver innovative solutions that promote Clean Code. Your Role and Impact: Join our research program focused on the automated evolution of software through advanced analysis, verification, and test generation techniques. Your contributions will be pivotal in areas such as repairing security vulnerabilities, applying patch transplantation across significant software systems like Linux, and utilizing agentic workflows to streamline software evolution. You will engage in groundbreaking projects that leverage AI and ML technologies in software engineering. This role provides a unique chance to conduct innovative research, devise cutting-edge algorithms, and aid in the development of software tools that enhance performance, reliability, and adaptability of systems.

At PitchBook, a part of Morningstar, we are driven by our forward-thinking vision. Our commitment to innovation, growth, and self-investment enables us to unlock everyone's potential. Our collaborative spirit fosters an exciting, energetic, and enjoyable work environment.We provide extensive learning and mentorship programs that cultivate a culture of curiosity, inspiring us to discover new solutions and improve our processes. As we navigate a rapidly evolving industry, we embrace the challenges and uncertainties, excelling as we push our boundaries. We are unafraid to take risks, learn from our failures, and pursue excellence relentlessly.If you possess a positive attitude and a readiness to take initiative, PitchBook is the perfect place for you.About the Role:At PitchBook, we recognize that the Data Operations team is crucial in differentiating us from our competitors. We take great pride in delivering high-quality data to our clients, emphasizing accountability, collaboration, and receptiveness to feedback. Our team members are engaged, detail-oriented, and eager to learn and adapt as the industry evolves.Our esteemed reputation is a testament to our dedication to constructing the premier private market database, and we understand the significance of investing in our team from day one. That's why we offer specialized training and a mentorship program tailored to the unique needs of the Data Operations team.We celebrate the diverse perspectives, skills, and experiences our team members bring and understand the importance of cultivating trust and strong cross-functional partnerships. If you're seeking a challenging and rewarding opportunity to elevate your career, we welcome you to join us at PitchBook.

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.

Become a vital part of an innovative adtech leader, connecting business strategy with technical execution. As a Research and Analytics Intern, you will utilize advanced LLMs and 'vibe coding' to develop rapid prototypes and convert complex data into actionable insights that yield tangible ROI.Your Responsibilities:Develop rapid internal tools, data scrapers, and automation scripts using LLMs such as ChatGPT, Claude, and Cursor to deliver proof of concepts (POCs) within days.Transform vague marketing and business inquiries into structured analytical frameworks and cleanse large datasets for insightful outcomes.Investigate and evaluate new AI agents and prompt engineering methodologies to automate content workflows, conduct sentiment analysis, and perform lead scoring.Effectively communicate intricate insights through data storytelling and create dynamic dashboards using platforms like Looker Studio, Tableau, or Streamlit.Your Profile:A student who can commit to a full-time internship for 6 months, with relevant coursework in AI and data analytics.Proficient in utilizing LLMs, AI agents, and 'vibe coding' tools (Claude, Cursor) for developing swift POCs using Python and SQL.Possess an agile mindset with a strong problem-solving attitude and a deep curiosity to self-learn new technologies rapidly.Preferred Skills:Ability to transform disorganized datasets into coherent narratives and visual dashboards using BI platforms like Looker Studio or Streamlit.A solid understanding of marketing funnels, KPIs, and business logic to effectively bridge the gap between strategy and data.

About Mistral AIAt Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save time, and foster innovation in learning and creativity. Our cutting-edge technology is crafted for seamless integration into everyday workflows.We democratize AI through high-performance, optimized, open-source models and solutions tailored for enterprises, whether on-premises or in cloud settings. Our suite includes 'le Chat', the AI assistant designed to enhance both personal and professional experiences.We are a vibrant, collaborative team deeply passionate about AI and its potential to revolutionize society. Our diverse workforce thrives in dynamic environments and is dedicated to innovation. With teams spread across France, the USA, the UK, Germany, and Singapore, we pride ourselves on our creativity, humility, and team spirit.Join us in shaping the future of AI and making a significant impact together. Discover more about our culture at https://mistral.ai/careers.Position OverviewMistral AI is on the lookout for talented Applied Scientists and Research Engineers to spearhead innovative research initiatives and collaborate with clients on challenging projects. You will have the opportunity to develop state-of-the-art models across multiple modalities including text, image, and speech. By pioneering new research methodologies, you will deploy these models in a variety of real-world applications. Collaborating cross-functionally with both internal and external teams of scientists, engineers, and product specialists, you will deliver impactful AI solutions that drive significant advancements.Key Responsibilities• Execute pre-training, post-training, and deployment of cutting-edge models on large-scale clusters featuring thousands of GPUs, maintaining composure during technical challenges such as OOM errors.• Curate and generate data for training, overseeing evaluations to ensure model performance exceeds expectations.• Create and enhance tools and frameworks that support data generation, model training, evaluation, and deployment processes.• Collaborate with interdisciplinary teams to address complex use cases utilizing agents and RAG pipelines.• Oversee research projects and maintain effective communication with client research teams.Candidate Profile• Proficiency in English with exceptional communication skills, capable of articulating complex technical concepts to diverse audiences.• Strong expertise in either PyTorch or JAX.• Comfortable contributing to large codebases and participating in collaborative coding efforts.

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.

Jump Trading Group is at the forefront of world-class research, dedicated to empowering exceptional talents in Mathematics, Physics, and Computer Science. We encourage our team to explore scientific boundaries, innovate continuously, and apply advanced research to the global financial markets. Our unique culture fosters fearlessness, creativity, intellectual integrity, and a relentless competitive spirit. We believe in collective success and the power of collaboration, which allows us to unlock individual talents. At Jump, our research initiatives yield not only superior risk-adjusted returns but also drive the design, development, and deployment of transformative technologies that impact various industries. We actively fund start-ups and collaborate with leading global research organizations and universities to tackle pressing challenges.Our trading teams consist of dynamic traders, quantitative researchers, and engineers who collaborate closely to analyze global markets, aiming to understand the complexities of diverse traded products and exchanges. They utilize their exceptional statistical analysis and data mining capabilities to generate forecasts and create profitable predictive trading models.

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.