Cloudera Data Engineer

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.

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.

Join our innovative team at NCS as a Lead Consultant specializing in Data & AI Engineering. In this pivotal role, you will spearhead projects that involve the latest advancements in data analytics and artificial intelligence, driving transformation across various industries. You will collaborate with cross-functional teams to design and implement robust solutions that meet our clients' evolving needs.Your expertise will be crucial in guiding clients through their digital transformation journeys, leveraging data to enhance decision-making and operational efficiency. We are looking for a dynamic leader who is passionate about technology and its application in real-world scenarios.

Join Our Team at AirwallexAt Airwallex, we are revolutionizing the world of global payments and financial solutions. Our unique blend of proprietary technology and innovative software supports over 200,000 businesses worldwide, from giants like Brex and Qantas to vibrant startups. With our cutting-edge platform, we offer comprehensive solutions for business accounts, payments, spend management, treasury, and embedded finance.Founded in Melbourne, our diverse team of over 2,000 talented professionals spans 26 offices globally. Currently valued at $8 billion and supported by leading investors such as T. Rowe Price and Visa, we are on a mission to redefine the future of global banking. If you are seeking an opportunity to make a significant impact while growing your career, we want to hear from you!What We Look ForWe seek motivated builders with an entrepreneurial spirit who are eager to make a real impact, learn rapidly, and take ownership of their work. You will bring in-depth technical expertise, analytical thinking, and a passion for our mission and operating principles. You thrive in a fast-paced environment, using curiosity to drive deep understanding and decision-making based on first principles.As a humble team player, you will transform innovative ideas into tangible products while ensuring execution from start to finish. Leveraging AI, you will work smarter and solve challenges efficiently. Here, you will engage with high-impact projects alongside exceptional colleagues and advance your career as we shape the future of global finance.About Our TeamThe Data & AI Infrastructure team is crucial to Airwallex’s ability to create a globally distributed platform. We focus on enhancing engineer productivity and optimizing resource utilization. Our mission is to deliver an outstanding experience for both our developers and customers while maintaining a secure and reliable environment for our financial solutions.Your RoleAs a member of the Data & AI Infrastructure team, you will develop and maintain vital data infrastructure, providing our data engineering and analytics teams with essential tools. Your responsibilities will include creating and enhancing tools and platforms that empower the engineering team with improved self-service capabilities.

Role Overview ncs3 is looking for a Presales Data Lead based in Singapore. This role focuses on connecting with potential clients to showcase and explain the value of our data solutions. The position sits at the intersection of technical expertise and client engagement, helping organizations understand how our data services can address their needs. What You Will Do Meet with prospective clients to discuss their data challenges and requirements Map client needs to ncs3’s data offerings, ensuring a strong fit Develop and deliver presentations that clearly communicate the benefits of our solutions Guide clients through the presales process, highlighting how our services can support their goals

At ThoughtWorks, we thrive on the intersection of innovative clients facing complex challenges and dedicated software developers eager to create forward-thinking solutions. As a Lead Data Business Analyst, you will play a crucial role in bridging the gap between our clients and our development teams. Your mission will involve defining the software outcomes necessary to meet user needs, understanding application usage, and collaborating with developers to craft tailored applications that yield significant business value. You will engage with clients across diverse sectors, ensuring that the critical software solutions we deliver consistently provide tangible benefits.Note: ThoughtWorks Singapore is only considering applicants who possess the current right to work in Singapore, specifically Singapore citizens or Singapore Permanent Residents (PR), due to the nature of our business.Key ResponsibilitiesAnalyze client business challenges to develop, refine, and enhance product roadmaps aimed at delivering impactful, differentiated solutions.Engage with and influence senior business stakeholders, leading discovery workshops to clarify business visions, objectives, and value hypotheses for large-scale transformations.Utilize an agile mindset to iteratively define release plans and identify "slices of value," ensuring incremental delivery.Act as a liaison between clients and multidisciplinary teams—including subject matter experts, C-suite executives, developers, and architects—to manage product backlogs and advocate for shared goals.Evaluate the current state and collaborate with clients to produce high-value artifacts such as personas, epics, and user stories within agile transformation teams.Lead work breakdown and backlog refinement efforts, including specialized management of Experimentation backlogs to navigate the R&D nature of AI projects.Advance the analysis community by integrating Data Lifecycle Management and AI ethics into our agile toolkit while sharing insights on complex data discovery.Promote 'Continuous Development' principles as they relate to evolving AI models and automated workflows, ensuring close monitoring of software delivery and team collaboration.Take responsibility for tracking the performance of delivered solutions against intended business outcomes and KPIs while fostering open communication and transparency.QualificationsTechnical Skills

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.

Join Accion Labs as an MDM Lead, where you will take charge of the Master Data Management strategy and implementation across our client projects. You will collaborate with cross-functional teams to ensure data quality and governance, driving best practices in data management. Your expertise will guide the development of data models and the integration of data from various sources to optimize business outcomes.

ncs3 is seeking a Delivery Lead for Data & AI based in Singapore. This role takes charge of delivering data-driven solutions and AI projects, ensuring that each initiative aligns with client needs and the company’s broader goals. Role overview The Delivery Lead manages project execution from start to finish. Responsibilities include coordinating teams, monitoring progress, and maintaining quality standards throughout each phase. Attention to detail and a focus on client satisfaction are central to this position. Key focus areas Oversee delivery of data and AI projects Ensure outcomes meet client expectations Support company strategy through effective project management Location This position is based in Singapore.

Role: Senior Principal Data Engineering LeadLocation: SingaporeWe are seeking an experienced and dynamic Senior Principal Data Engineering Lead to spearhead the scaling and enhancement of our Data Engineering, DataOps, and Data Stewardship initiatives within our Data organization. This pivotal role is responsible for ensuring the seamless end-to-end delivery of our cloud-native data platform, which encompasses data ingestion, transformation, modeling, and operations to facilitate high-quality, reliable, and self-service analytics across various business domains.

At PitchBook, part of the esteemed Morningstar family, we are committed to forward-thinking innovation, continuous evolution, and substantial investment in our team members to unlock their full potential. Our collaborative culture thrives on excitement, energy, and a sense of fun that resonates throughout our organization. Our robust learning programs and mentorship opportunities foster a culture of curiosity, motivating us to discover new solutions and enhance our methodologies. In an ever-evolving industry marked by high aspirations, we embrace ambiguity and excel in self-challenge. We are unafraid to take calculated risks, learn from our failures, and strive for excellence repeatedly. If you possess a proactive attitude and are ready to engage in hands-on work, PitchBook is the ideal environment for you. About the Role:At PitchBook, we acknowledge that the Data Operations team is crucial to distinguishing us from our competitors. We take great pride in delivering exceptional data to our clients while maintaining accountability, collaboration, and openness to feedback. Our team comprises highly engaged, detail-oriented individuals who are always eager to learn and adapt as our industry progresses.Our esteemed reputation is a direct result of our unwavering commitment to developing the world’s premier private market database. We understand the significance of investing in our team members from the outset. Therefore, we provide specialized training and a mentorship program tailored specifically to the Data Operations team.We appreciate and celebrate the diverse perspectives, talents, and experiences of our team members and recognize the importance of establishing trust and strong cross-functional collaborations. If you seek a challenging yet rewarding opportunity to elevate your career, we welcome you to join us at PitchBook.

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.

About the RoleJoin our dynamic team at Xcellink as a Data Centre Operations Shift Lead, where you will be instrumental in overseeing critical data centre operations. You will lead a dedicated shift team, ensuring that all operations run smoothly, addressing escalations, and maintaining compliance across various sites.Key ResponsibilitiesLead and manage the DC shift team to guarantee efficient daily operations.Schedule shifts, supervise handovers, and track completion of tasks.Handle escalations, communicate with stakeholders, and ensure adherence to SLA/KPI standards.Oversee incident management, ticketing, and service requests in accordance with established SOPs.Conduct routine data centre operations including rack/stack, cabling, equipment setup, and vendor management.Facilitate onboarding, training, and performance evaluations of shift team members.Keep precise documentation including SOPs, EOPs, escalation matrices, and incident reports.Represent the shift team in audits, reviews, and stakeholder meetings.Collaborate closely with Operations, Facilities, Service Delivery, and Security teams.

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.

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.