Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore, and we're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

Requirements:

•Excellent ethics & Positive Attitude

•Leadership potential & ready to take on challenges

•Teamplayer and enjoys interaction

Your Role:

•Implementing ethical sales techniques through face to face marketing

•Lead a drive a team towards a common goal

•Running and overseeing marketing campaigns and projects

What We offer:

•Travel opportunities

•Career Progression

•Fun & Family Like environment

•Upskilling

•One on One Mentorship & support system

Sounds like what you are looking for?

Apply now! Fresh Grads/ORD/looking for career switch, are welcomed!

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore, and we're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

Requirements:

•Excellent ethics & Positive Attitude

•Leadership potential & ready to take on challenges

•Teamplayer and enjoys interaction

Your Role:

•Implementing ethical sales techniques through face to face marketing

•Lead a drive a team towards a common goal

•Running and overseeing marketing campaigns and projects

What We offer:

•Travel opportunities

•Career Progression

•Fun & Family Like environment

•Upskilling

•One on One Mentorship & support system

Sounds like what you are looking for?

Apply now! Fresh Grads/ORD/looking for career switch, are welcomed!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

Are you passionate about designing innovative data solutions that align with business strategies and drive organizational transformation? We are seeking a seasoned Data Solutions Architect to lead the design, development, and implementation of enterprise data strategies and architectures. If you have extensive experience in data engagements and a strong background in banking domains, we’d love to hear from you.

Architecture and Strategy

• Understand existing landscapes, client capabilities, and requirements to design scalable, high-performance, and reliable data solutions.

• Develop enterprise data strategies aligned with business objectives, including data roadmaps and transformation projects.

• Design and implement various data architecture models, including data warehouse, integration, and business information models.

• Provide strategic guidance, roadmaps, and detailed implementation plans for data solutions.

Leadership and Development

• Lead cross-functional teams to design and develop data solutions as per proposed architectures.

• Act as the primary point of contact for architecture design and development queries.

• Identify and adopt new technologies and methodologies to enhance performance, automation, and scalability.

Business Development Support

• Collaborate with the sales team to shape and design solution architectures for proposals.

• Participate in client meetings, addressing technical and strategic concerns.

Governance and Compliance

• Define and implement data governance frameworks, including assessments, roadmaps, and execution plans.

• Ensure compliance with analytical, regulatory, and compliance reporting requirements.

Experience and Qualifications

Primary Skills

• 15+ years of experience in data engagements, including leading data strategies, roadmaps, and implementations.

• Expertise in data architecture methodologies, including enterprise data strategy, data models (ER, star schema, normalized/denormalized), and lifecycle management.

• Proven banking domain knowledge and experience with regulatory compliance and reporting.

• Strong experience in data migration strategies, including planning, costing, and execution.

• Master Data Management expertise, with tools such as Informatica MDM, Stibo PIM, Talend Data Fabric.

Technical Proficiencies

• Data and Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin.

• Databases: PostgreSQL, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake.

• Programming and Scripting: SQL, PL/SQL, NoSQL, Shell scripting, T-SQL, DAX.

• Design Methodologies: Inmon and Kimball methodologies, hierarchical models.

• Cloud and Web Tools: Amazon AWS, WordPress, Google Analytics/GTM.

Additional Skills

• Familiarity with TOGAF for architecture frameworks and DAMA-DMBOK for data management.

• Experience in tools like MS Project, JIRA, and rLean for management.

WHAT YOU’LL LOVE ABOUT WORKING HERE

• We promote Diversity & Inclusion as we believe diversity of thought fuels excellence and innovation.

• In Capgemini, you are the architect of your career growth. We equip people in maximizing their full potential by providing wide array of career growth programs that empower them to get the future they want.

• Capgemini fosters impactful experiences for its people that would aid in bringing out the best in them for them, for the company, and for their clients.

Disclaimer:

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities, Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity. Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

ABOUT CAPGEMINI

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com

Swiss AviationSoftware is a 100% subsidiary of Lufthansa Technik, and along with our partners in the Digital Tech Ops Ecosystem, leads the digital transformation of the aviation industry in technical asset operation. As the developer of the world's leading software AMOS, Swiss-AS successfully manages maintenance, engineering and logistics requirements of modern airlines. To strengthen our position at the forefront of this global market, we are looking for dedicated employees who would like to work in a fascinating international environment with more than 200 customers worldwide.

Swiss AviationSoftware AG Singapore branch implements the software package AMOS and provides other services for the maintenance of the software in APAC region.

We are looking for a skilled and motivated Data Integration specialist for our Singapore office to support our customers throughout the data migration activities of their AMOS implementation projects as well as for data integration and data analytics projects.

Tasks

The main focus of this position is:

· Guide and support new customers within the data migration work-stream.

· Provide configuration and troubleshooting expertise for the setup of interfaces and system integration.

· Support customer troubleshooting and problem-solving during data verification and interface testing.

· Develop relevant KPIs and work on data analytics projects.

· Maintain and create required documentation related to data migration.

Your tasks will include:

· Consulting customers on how to migrate legacy data using ETL software

· Mapping data between AMOS and the legacy system

· Development and coding extraction scripts (e.g in SQL and Java)

· Evaluation, configuration and specification of interfaces

· Develop data migration sub-project plans with the Swiss-AS Project Manager.

· Leading small data migration projects end to end

· Ensure that tools and documentation (e.g. Data Migration Guidelines) are relevant and up-to-date.

As a real team player, you are highly motivated and committed. You have also good communication skills and are able to interact with people from various technical backgrounds and cultures. Knowledge about the aviation industry and processes in aircraft maintenance is an advantage.

What we offer

· Working in an open and cooperative environment with a motivated and friendly team

· Good professional and personal development opportunities

· Active participation in the continuous improvement of processes

· An international work environment with people from around the globe

· Ideal work-life balance

· Fringe benefits: flight discounts

Workplace & Culture

This is the place where you can work, learn, increase your knowledge about aviation, different cultures, new technologies, and still be yourself. Your work can have a significant impact on people's lives not just on the technical side but also as a human being. You can be part of a fantastic multicultural and international team with a family spirit. In this company, we love to travel, laugh, work, play, be creative, play sports, and, last but not least, help each other as a team.

PALO IT is a global innovation and software development company dedicated to helping organizations craft tech as a force for good. We work with clients to rapidly launch products and services, create new business models, and prepare leadership and culture for the future. We are a community of innovators, designers and technologists across 16 offices and five continents (France, Hong Kong, Singapore, Thailand, Australia, Mexico, Colombia, Spain and the United States).

We're committed to helping businesses transform to better our world. We're proud to be a World Economic Forum (WEF) New Champion, and a B Corp-certified company in Singapore, Hong Kong and Mexico, currently working towards certification across all other locations.

YOUR ROLE:

The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals. You will research and develop innovative solutions to deliver impact to our clients, contributing to bring intelligence in their digital mesh with the support of other Palo IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams.

YOUR RESPONSIBILITIES:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner. Examples include:
• Understanding a business problem
• Data Collection
• Data Preparation (cleaning, transformation, feature engineering)
• Model Training and Experimentation
• Model Evaluation
• Deployment
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Communicate algorithms results, limits and potential for improvement in a meaningful way
• Evaluate third party datasets and emerging technologies (e.g. LLMs, AI Agents, latest developments in Neural Networks) that may contribute to better results
• Collaborate with clients and other PALO IT practices to build a comprehensive end-to-end approach, gathering the relevant labelled data and features for ML algorithms into data-driven apps
• Participate in development of selected assets/accelerators that create scale
• Contribute to thought leadership through research and publication support
• Collaborate with cross-functional teams to productionize ML models
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Provide technical leadership and mentorship to junior team members
• Deploy ML models into production (either alone or working with data engineers if necessary)
• Be a member of presales team to propose solutions for client opportunities

WHO YOU ARE:

• You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline. Strong academic performance with analytic and quantitative coursework preferred
• 3-5 years of working experience
• Good knowledge of supervised/unsupervised machine learning techniques and algorithms
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Ability to apply advanced data science techniques such as deep learning, reinforcement learning, NLP to develop client solutions
• Willingness to be part of a multi-disciplinary team to develop end-to-end solutions for real world business problems
• Familiar with deploying Data projects into cloud (for example, Azure, AWS, GCP)

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. With 2025 as our horizon, we are taking action to meet the following objectives:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all 16 of our offices across the globe
• Continuously measure & improve employee happiness

Our clients (https://www.palo-it.com/en/case-study) are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

WHAT WE OFFER:

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits in Singapore, check out our careers page (https://www.palo-it.com/en-sg/careers)

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Work Location : Alexandra

Years of Experience : 2 years

Contract : 1 year

Responsibilities-

Key Responsibilities:

• Monitor data center operations and systems to ensure peak performance.
• Conduct routine inspections and maintenance of equipment.
• Support the installation, configuration, and troubleshooting of hardware and software.
• Respond to alerts and incidents, performing diagnostics and problem resolution.
• Maintain accurate logs and documentation of technical issues and resolutions.
• Assist in capacity planning and performance tuning activities.
• Collaborate with other teams to ensure seamless operations and support.

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

• 6 months contract role
• Opportunity to convert into permanent role
• Newly created role for the upcoming new project

about the company

Our client is a global leader within its industry. They operate across a global scale and are recognised as true industry leaders. They are considering one of the largest companies in the world by revenue. Great career opportunity awaits the right person in this exciting Senior Data Engineer role

about the job

• Build and manage processes to extract, transform, and load data from various sources (e.g., ERP, CRM, e-commerce, omnichannel platforms) into centralized systems.
• Drive efforts to streamline data sources and reduce redundant subscriptions, particularly from omnichannel platforms.
• Implement models to support business functions like sales forecasting, customer segmentation, and pricing optimization.
• Develop secure, scalable infrastructure to accommodate growing data volumes across both cloud and on-premises environments.
• Work with teams to uncover data-driven insights, especially from emerging omnichannel sources.
• Oversee data integrity through profiling and cleansing, including handling third-party and Chinese data labels.
• Improve data pipeline efficiency and query performance to provide timely insights.
• Provide technical assistance to help teams leverage data insights for enhanced business performance.

successful candidate

Minimum 3 years of experience in data engineering across cloud and on-premise environments.

Strong proficiency in SQL, Python, and data warehousing concepts. Familiarity with cloud-based platforms such as AWS, GCP, or Azure.

whats on offer
This is a 6 months contract role for a Senior Data Engineer will pay a salary range of $ 7,000 to $ 9,000 plus perks from the company. This is an opportunity to lead and collaborate with technology for the global enterprise wide of the company.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942)

Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills

Regional Marketing Data Analyst

Samsung Asia Pte Ltd

This role sits in the Digital Marketing team and would be reporting to the Data Lead of SEAO region. This role is crucial, in developing data solutions and insights using 1st party consumer data pipeline for eights markets across Southeast Asia & Pacific region, building BI solutions and AI/ML models, in order to drive continuous improvement in business KPIs for Samsung smartphone and consumer electronics categories.

Marketing Insights & Reporting (60%)

• Build dashboards and insight report on Samsung’s Big Data Platform
• Connect different data sources to generate actionable business insights for the marketing team
• Collaborate closely with subsidiary marketing managers and product team to support data analysis needs and proactively provide optimization suggestions

Data Science Modeling (40%)

• Build and improve machine learning models in the field of digital marketing, such as customer purchase propensity, customer retention & loyalty
• Maintain end-to-end machine learning pipeline to deployment data science model in the cloud environment
• Fast prototype of new data science projects using latest AI technologies
• Working with digital marketing deployment team to guide on marketing campaigns execution using data science solutions and rigorously measure business impact of data science projects, through A/B testing and other statistical methods.

Skills Required

• Strong programming skills: Advanced SQL, Python, Command Line
• Hands-on experience on large consumer data: demonstrated past work experience dealing with customer data at scale (in millions rows)
• Cloud technology experience: demonstrated working knowledge in any of the mainstream cloud solution: Google Cloud, Amazon AWS, Microsoft Azure. Google Cloud experience is preferred. Able to debug and trouble shoot cloud issues independently.
• Business Intelligence Platform experience: demonstrated working experience in any of the mainstream BI platforms: Looker, Power BI, Tableau.
• Stakeholder Collaboration: Demonstrated ability to collaborate with diverse stakeholders, including internal tech, marketing and product teams, external advertising/marketing agencies, to ensure timely delivery of data projects.

Qualifications

• A Bachelor's degree is required; a Master’s degree is a plus.
• 3-5 years of working experience in data analytics or data science, preferably in a consumer facing companies.
• Strong mathematical acumen, heightened data sensitivity, and the capacity to independently analyse and solve problems.
• Good logical thinking and teamwork spirit, strong willingness to learn
• Experience in Marketing, CRM, Consumer products is a plus

We are looking for a skilled Data Engineer with strong development skills to join our dynamic consulting team. In this role, you will play a key part in designing and building scalable, high-performance data pipelines and applications, while working closely with clients to understand their unique data needs and deliver tailored solutions.

This position requires a solid foundation in data preparation, backend development, and API integration, with a primary focus on Python and React.js for frontend. You will be involved in all phases of the data lifecycle, providing technical leadership, and ensuring successful project delivery through close collaboration with clients.

Key Responsibilities:

· Client Interaction: Lead client interactions, including requirement gathering, technical discussions, and workshops to clearly define project goals and data solutions.

· Data Pipeline Development: Design, develop, and maintain robust data pipelines to process, cleanse, and transform large datasets for various applications.

· Full-Stack Development: Build secure, scalable APIs and integrate third-party services, databases (SQL, NoSQL), and systems while contributing to the development of user interfaces using React.js.

· API Integration: Develop and integrate APIs for seamless data flow between systems, ensuring high performance and security.

· Data Preparation & Processing: Implement data preparation techniques to clean, organize, and structure raw data for analysis, ensuring data readiness for machine learning and AI applications.

· Emerging Technologies: Explore and gain hands-on experience with emerging technologies such as Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).

· Cross-Functional Collaboration: Collaborate with cross-functional teams to deliver high-quality projects within agreed timelines, ensuring optimal data performance and security.

· Continuous Improvement: Stay updated with the latest industry trends and technologies to drive innovation in data engineering projects.

Requirements:

· Passion for Emerging Technologies: A strong interest in staying ahead of the curve with new technologies like Large Language Models (LLM) and Retrieval-Augmented Generation (RAG), with a desire to continuously learn and integrate these into client data solutions.

· Data Engineering Expertise: Minimum of 3 years of experience in data engineering, with a strong focus on Python for backend data processing and React.js for frontend interface development.

· API Development and Integration: Expertise in building and integrating RESTful APIs for data flow and system integration, with experience working with SQL and NoSQL databases.

· Data Preparation Skills: Strong understanding of data preparation, ETL processes, and transforming unstructured or semi-structured data into structured formats.

· Infrastructure and Cloud Knowledge: Solid understanding of infrastructure, cloud platforms (Azure, AWS, GCP, Alibaba Cloud), and familiarity with network and security best practices.

· Consulting Experience: Ability to engage with clients through requirement gathering, leading workshops, and providing technical solutions that align with their data-driven business needs.

· Agile and Version Control Skills: Familiarity with agile methodologies and version control systems like Git, ensuring smooth collaboration and project efficiency.

· Problem Solving & Communication: Strong problem-solving skills with the ability to communicate complex technical information effectively to both technical teams and non-technical clients.

· Client-Focused Approach: Ability to understand client needs and translate them into scalable, high-performance data solutions that deliver value and enhance user experience.

· Track Record: Proven experience leading technical projects, guiding the data development lifecycle from requirements gathering to deployment, while ensuring quality and client satisfaction.

Responsibilities:

Manage and maintain large-scale data center infrastructure and facilities for continuous 24x7 operations in rotating shifts.

Job Description:

• Support continuous operation of data center infrastructure with 24x7 monitoring.
• Act as Level 1 escalation point for operational incidents, responding within SLA.
• Document all requests in the internal Web Portal ticketing system.
• Ensure compliance with ITIL processes for incident, problem, and change management.
• Implement safety, security, and customer support policies effectively.
• Coordinate with contractors, vendors, and inspect completed work.
• Plan and execute preventive and reactive maintenance activities with minimal service disruption.
• Support internal and external audits and generate reports as needed.
• Perform other duties and projects as assigned by management.

Requirements:

• ITE Certificate or Diploma in Computing, Electrical, Mechanical Engineering, or related field.
• Minimum 1 year of relevant experience in 24x7 data center or facility operations.
• General knowledge of Mechanical & Electrical (M&E) and Network Critical Infrastructure.
• Detail-oriented team player capable of working under pressure in a fast-paced environment.
• Available for 24x7 standby and recall as needed.
• Rotating 12-hour shifts, including weekends and public holidays (3 days' work, 2 days off).

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

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As a Lead Data Analyst, you will play a critical role in guiding strategic decision-making by providing insights from data. You’ll oversee a team of Data Analysts, Engineers and Scientists and collaborate with cross-functional teams, and deliver actionable recommendations to improve game development, player engagement, and operational efficiency.

Key Responsibilities

• Team Leadership: Lead, mentor, and develop the team, fostering a culture of collaboration and continuous learning.
• Data Strategy: Develop and implement data analysis strategies to support game development and business operations.
• Analytics and Reporting: Design and deliver insightful dashboards, reports, and presentations for various stakeholders, ensuring data-driven decision
• Collaboration: Work closely with game development teams, marketing, and other departments to identify opportunities for leveraging data.
• Data Quality and Governance: Ensure data integrity, accuracy, and security by defining and enforcing governance standards.
• Innovation: Stay up-to-date with the latest analytics technologies and methodologies, incorporating them into the team's workflows.

We are seeking a detail-oriented and resourceful Operations Support Specialist who is passionate about enhancing operational efficiency and making a positive impact on an emerging team. The ideal candidate has experience working across medium to large-sized teams with diverse stakeholders, excels in solving ambiguous challenges, and will come with some knowledge of APIs and SQL.

Responsibilities:

• Run daily standup meetings and monitor/manage daily customer support tickets for prioritization and triage.
• Update the status page for product issues when necessary.
• Support daily hand-over activities across different regions.
• Assist regional customers with seasonal campaigns.
• Follow internal processes to triage and support regional escalations.
• Coordinate and prepare content for regional monthly meetings.
• Notify customers about expiring API product versions.
• Track and report on operational performance and conduct ad-hoc data analyses.
• Identify and drive process improvements, contributing to operational excellence initiatives.

Essential Skills & Experience:

• 2–4 years of experience providing operations support in a technical environment.
• Customer-oriented mindset with strong empathy and understanding.
• Exceptional attention to detail, capable of executing standard workflows while adapting to evolving business needs.
• Passion for learning and understanding technical concepts.
• Creative problem-solving and troubleshooting skills.
• Proven ability to multitask and prioritize effectively in a fast-paced environment.
• Experience in using SQL for data driven analysis and investigation.

This is a long-term contract role.