Roles and Responsibilities:

• Lead the complete lifecycle of data exchange projects, ensuring thorough planning, execution, and ongoing maintenance
• Define project parameters, goals, and expected results in partnership with stakeholders
• Develop and oversee detailed project schedules, budget estimates, and progress benchmarks
• Ensure efficient allocation and coordination of project resources, tasks, and activities to meet deadlines
• Proactively address and strategize against potential risks and obstacles to keep project momentum
• Apply expertise in data exchange technologies such as web services, RESTful APIs, XML, JSON to enhance process efficiencies
• Implement strategies for data mapping, transformation, and validation to ensure the integrity and accuracy of data
• Serve as the main contact for project stakeholders, offering updates and solutions to maintain project alignment and satisfaction
• Facilitate clear and effective communication, organizing stakeholder meetings and workshops to align project goals and requirements
• Leverage sector-specific knowledge, especially in manufacturing, to adapt data exchange solutions that align with business needs and goals
• Fulfill all other duties as assigned by management

Requirements:

• Bachelor’s degree or higher in IT, Computer Science, Engineering, or a related field
• Minimum 3 years of IT project management experience, emphasizing data exchange and integration, with a preference for manufacturing sector experience
• Proficiency in web services, RESTful APIs, XML, JSON, and related data formats
• Experience with integration platforms, middleware, and ETL tools
• Strong communication, collaboration, and stakeholder management abilities

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

Our client leverage data science and analytics to drive business growth and innovation. We are seeking an experienced Team Lead Data Scientist to lead data science team and develop cutting-edge data-driven solutions.

Job Summary:

We are looking for a seasoned Team Lead Data Scientist to lead data science team and drive the development of data-driven solutions that address business challenges and opportunities. The ideal candidate will have a strong technical background in data science, excellent leadership skills, and experience in managing high-performing data science teams. The Team Lead Data Scientist will be responsible for leading the development of predictive models, data visualizations, and data-driven insights that inform business decisions.

Key Responsibilities:

• Lead and manage a team of data scientists in developing and deploying data-driven solutions.
• Collaborate with cross-functional teams, including business stakeholders, product managers, and engineers, to identify business challenges and opportunities that can be addressed through data science.
• Develop and implement effective data science processes and procedures to ensure high-quality and timely delivery of data-driven solutions.
• Mentor and guide team members to improve their technical skills and knowledge in data science.
• Conduct technical interviews and participate in the hiring process for new team members.
• Develop and manage the team's budget and resource allocation plan.
• Identify and mitigate technical risks and issues that could impact data quality and model performance.
• Ensure compliance with industry standards, regulations, and security protocols related to data privacy and security.
• Collaborate with the engineering team to deploy data-driven solutions into production.

Requirements:

• Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 10 years of experience in data science, with a focus on developing and deploying predictive models and data-driven solutions.
• At least 2 years of experience in managing high-performing data science teams.
• Strong leadership and management skills, with the ability to motivate and guide team members.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.
• Strong problem-solving skills, with the ability to analyze complex business challenges and develop effective data-driven solutions.

Nice to Have:

• Experience with cloud-based data platforms, including AWS or Azure.
• Knowledge of deep learning frameworks, including TensorFlow or PyTorch.
• Experience with natural language processing (NLP) or computer vision.
• Certification in data science or a related field.

Our client, one of Asia-Pacific’s leading organizations is looking for:

Junior Data Engineer

Responsibilities:

• Perform data extraction, cleaning, transformation, and flow; Web scraping may be also a part of the work scope in data extraction
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks
• Collaborate with Project Manager, Visualisation Developer, Data Scientist, UX Designers and Data Analyst to build scalable data-driven products
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Support and advise best practices in data management standards, policies and procedures; Work closely with fellow developers through pair programming and code review process

Requirements:

• Interest in being the bridge between engineering and analytics; Knowledge about system design, data structure and algorithms
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse
• Good in general data cleaning and transformation (e.g. SQL, pandas, R, etc), and AWS
• Good in processing data from open-standard file format or data interchange format (e.g. XML, JSON)
• Good in building ETL pipeline (eg. Talend Data Integration, Informatica PowerCenter, IBM DataStage, SAS Data Integration)
• Good in database design and various databases (e.g. MS SQL Server, Oracle RDBMS, IBM DB2, Postgres etc)
• Comfortable in at least one scripting language (eg. Python)

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Junior Data Engineer”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora
EA Personnel Registration Number: R22109615

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• 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 our offices across the globe
• Continuously measure & improve employee happiness

Our clients 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, check out our careers page.

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 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.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior Data Engineer has a role focusing on building our modern Lakehouse including owning pipeline development, data modeling and governance within a cross-functional team responsible for the end-to-end delivery of data products and analytics solutions.Additionally creating CI/CD pipelines for automated deployments and monitoring, and enforce data quality checks, ensuring data consistency, reliability, and compliance.

Key Responsibilities:

Working with Product Owners, Business Analysts and Data Analysts to ensure business requirements are translated into data solutions, deliver accurate and reliable datasets that enable impactful analytics and dashboards.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and inform our solution design with a goal of balancing scalability and performance.

Skills:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.
• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.
• Spark & Azure Databricks: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.
• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.
• CI/CD Pipeline Creation: Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines models using GitHub and GitHub Actions with Databricks.
• Infrastructure as Code: Experience in automating cloud infrastructure management for consistent deployment and scaling using tools like Terraform.

• 5+ Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.
• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

About ECOM Sustainable Management Services

ECOM Sustainable Management Services (SMS) is ECOM’s specialized body for the last mile delivery of services and products to the rural population contributing to the improvement in yields and net incomes at farm level, to decreasing financial risks through diversification of income streams, and to eradicating zero tolerance points like forced or child labor, dangerous application of agrochemicals, degradation of the environment and deforestation. SMS’ vision translates into three key missions:

• To deliver higher-quality products that enable farmers to increase their overall farm productivity.
• To provide high-value services, including training, input and technology access to improve markets for bottom-of-pyramid participants.
• To create a sustainable, profitable value chain by providing the best services to all stakeholders.

We are looking for a Junior Sustainability Data Lead who will support APAC origin teams and Global Sustainability team with data quality assurance as well as data cleaning, validation and analysis for ECOM SMS programs in APAC.

Key Responsibilities

Support national sustainability managers across APAC on the implementation and management of ECOM SMS programs through the establishment of a robust Monitoring, Evaluation & Communication (MEC) framework, which includes the management of data related to ECOM SMS Verified code of conduct and contributes to ECOM decarbonisation strategies and ECOM compliance with the European Union Deforestation Regulation (EUDR).

• Responsible for analyzing sustainability-related metrics, tracking progress, and enhancing data collection processes aligning with ECOM automation developments. Align with ECOM automation tools to streamline data collection and reporting processes.
• Support the rolling out of the methodologies and data collections established by the Global SMS, Environmental & Social, Climate and First Mile teams at the local level.
• Set up an implement locally a MEC framework that includes the planning and organizing of data collection for ECOM Environment & Social indicators, carbon accounting, SMS Verified and third party co-funded field projects in APAC countries (China, India, Indonesia, Papua New Guinea, Vietnam).
• Check and control data originated from APAC countries, including logical checks such as realistic crop yields, spatial data checks with GPS and polygon files to avoid duplicate, etc. Monitor the follow-up towards complete data validation with local SMS Leads.
• Analysis of the data collected, and reporting, using appropriate internal and external formats. Standardize communication related to projects and SMS Verified. Create comprehensive dashboards and reports using data visualization tools like Power BI.
• Build capacity internally to implement with success the MEC system in coordination with SMS Leads and Agronomists and other departments if needed.
• Prepare presentations based on data as required and support presenting to partners. Communicate sustainability achievements and initiatives effectively to internal and external stakeholders.
• Make recommendations to improve data quality and efficiency of data systems.

Skills & Qualifications

• Bachelor’s degree in Environmental Science, Data Science, Engineering, or a related field.
• 2 years of experience in sustainability data analysis or a related role.
• Proficiency in data analysis and automation tools.
• Experience with data visualization tools like Power BI.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Knowledge of carbon accounting methodologies and sustainability reporting frameworks.
• Experience with sustainability management platforms and data integration.
• Familiarity with environmental management systems and regulatory requirements.

We are seeking a highly skilled and experienced DLP engineer with profound knowledge in leading DLP solutions such as Trellix, Forcepoint, Digital Guardian, Symantec, Skyhigh or Zscaler as well as database technologies like MSSQL. The successful candidate will be responsible for maintaining and fine-tuning an advanced DLP solution for a large organization, and will work closely with various stakeholders to ensure a successful implementation as well as manage an integrated reporting dashboard.

Responsibilities:

• Collaborate with stakeholders to create, review, and finalize DLP policies and rules
• Develop and maintain technical design documentation, configuration documents, and build guides
• Assess customer environment and validate pre-requisites prior to implementation
• Configure DLP solutions to work with Internet Content Adaptation Protocol (ICAP) for monitoring web traffic.
• Proficient in configuring ICAP and proxy integration for Data Loss Prevention (DLP) setups
• Develop, configure, and test DLP policies and rules to ensure effectiveness and compliance
• Manage the DLP appliance upgrade process, ensuring seamless updates and minimal disruption to operations
• Lead User Acceptance Testing (UAT) and pilot testing phases to address any issues and validate success
• On-site support for issue troubleshooting
• Execution of change requests to remediate issues

Requirements:

• 3 years experience in DLP Solutions and cyber security or a similar role
• Implementation or management experience of cyber security solutions
• Experience with MSSQL administration and crafting/running SQL queries
• Experience with Network DLP technologies a plus
• Experience with windows tools, administration and IIS a plus
• Demonstrate soft skills to interact and engage customers and various stakeholders
• Ability to work independently and with minimal supervision on projects
• Able to work in a team
• Strong problem solving, oral and written communication skills
• A strong desire to step out of your comfort zone and into an opportunity where you drive the work

Preferred Credentials:

• Relevant certifications in leading DLP solutions (e.g., Trellix, Forcepoint, Digital Guardian, Symantec)
• Industry certifications in information security, such as CISSP, or CCSP
• Familiarity with change management procedures a plus

Interested candidates may send their CV to MAC (Reg No. R1221300) at [email protected] quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.

Primary purpose and scope:

• Implement SAP S/4HANA Cloud ERP Public Edition across various customer projects, aligning solutions with business requirements.
• Provide functional and business expertise in finance for SAP S/4HANA Cloud configuration and implementation, ensuring efficient deployment.
• Deliver S/4HANA Cloud demonstrations to support presales activities, showcasing key functionalities and value propositions.

Key accountabilities:

Business Requirements Analysis & Solution Design

• Analyse customer business needs, processes, and objectives to deliver tailored S/4HANA Cloud solutions.

Solution Configuration & Implementation

• Recommend and implement optimal S/4HANA Cloud solutions to meet customer requirements.

Project Implementation & Delivery

• Ensure timely and efficient S/4HANA Cloud implementation, meeting project milestones.
• Proactively identify, document, and address potential risks and challenges, escalating as necessary.

Customer Engagement & Relationship Management

• Regularly engage with customer stakeholders, providing updates and resolving issues.
• Ensure customer satisfaction and acceptance throughout the implementation process.

Training

• Develop training materials and deliver hands-on training sessions for customer teams.

Sales Support & Presales Activities

• Develop and deliver impactful S/4HANA Cloud demonstrations, showcasing key functionalities.
• Collaborate with the sales team to highlight system capabilities and translate technical features into business solutions.

Professional Development & Continuous Learning

• Obtain and maintain required S/4HANA Cloud consultant certifications.
• Stay current with the latest S/4HANA Cloud developments, features, and industry trends.

Why join us:

At ISS Data, you will be part of a dynamic and innovative team, working on diverse projects that make a significant impact in the ERP space.

Join us to lead digital transformation and seize exceptional career growth opportunities.

Minimum Requirements (must have):

• At least of 5 years of experience with SAP Finance (FICO) modules in SAP S/4Hana Cloud projects, including a minimum of 2 years in a consulting capacity within a professional services environment.
• Hands-on experience in at least 2 end-to-end SAP S/4HANA Cloud implementations.
• Strong finance domain knowledge,particularly in financial accounting, controlling, and reporting.
• In-depth knowledge of finance-related business processes in manufacturing, energy, healthcare, distribution, or construction industries coupled with strong problem-solving skills to effectively translate business needs into technical solutions and address complex customer challenges.
• Ability to manage deadline pressure, ambiguity, and adapt to changing environments.
• Proven ability to work independently and collaborate effectively with a team.
• Excellent presentation, communication, and interpersonal skills, with the ability to engage leadership and key stakeholders.
• Singapore citizen or Permanent Resident with a strong proficiency in English; additional language skills are advantageous.

Other Requirements (good to have):

• Experience with SAP Business ByDesign Cloud ERP or other cloud ERP solutions.
• Experience working in global virtual teams.
• Leadership experience in managing teams and multiple priorities to drive successful outcomes.
• Knowledge of business processes in industries outside those listed above.

Note for applicants:

• Applicants with SAP FICO or SAP S/4HANA experience who do not meet the SAP S/4HANA Cloud project or consultancy requirements may be considered for other suitable roles within the Company.
• We regret that only shortlisted candidates will be notified.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Job Description:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Requirements:

• Minimum total three years’ work experience as Data Scientist.

Job Description:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Requirements:

• Minimum total seven years’ work experience as Data Scientist.

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Coordinator to join our Singapore team.

Globally, with greater emphasis on personal data protection and integrity of clinical data, the Data Coordinator plays an important role and contributes to the success of clinical trials. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.

Responsibilities

• Track case report forms;
• Clean and update the clinical database, which includes generating and resolving data clarifications;
• Reconcile clinical data
• Maintain study documentation
• Perform QC audits of the clinical database

Qualifications

• Bachelor's degree in a health related field with strong attention to detail and working knowledge of Excel and Word
• 1-2 years of experience in a pharmaceutical or CRO setting preferred
• Knowledge of medical terminology is preferred; and
• Office hours, 9:30am to 6:30pm to be worked over 5 days between Monday to Saturday (Saturdays being rotational). Able to work on rotational public holidays.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,000 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data scientist to join us in our cause of helping customer Stay Modern, ahead of the technology curve!

Roles and Responsibilities

• Conducting advanced statistical analyses on large datasets to extract meaningful insights and trends.
• Developing and implementing machine learning models to solve business problems and improve decision-making processes.
• Collaborating with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Presenting findings and recommendations to senior stakeholders in a clear and concise manner.
• Work on projects and initiatives related to data analysis and machine learning.

Qualifications:

• Bachelor's degree or higher in a quantitative discipline such as statistics, mathematics, data analytics, or related fields.
• Minimum of 1-2 years of applied experience with machine learning on large datasets.
• Strong proficiency in statistical software (e.g., Python, R, Scala), database languages (e.g., SQL), visualization tools (e.g., Tableau, Qlik Sense), big data technologies (e.g., Spark, Hadoop, Hive), and deep learning frameworks (e.g., TensorFlow).
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Proven leadership skills and experience in managing senior stakeholders.

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

About the Client

Our client is one of the reputed MNC in Singapore

Responsibilities

• Work as a technical expert on Data Scientist / Algorithms / Machine Learning and present research findings to stakeholders internally and externally. Demonstrate thought leadership in the area of data science and machine learning
• Responsible in leading in AI projects such as trade validation and settlement extraction systems
• Collect, analyze and interpret qualitative & quantitative data with statistical theories and methods.
• Responsible in implementation of Pricing Optimization / statistical frameworks
• Create and review technical design documentations, Researches, including proposals, white papers, presentations, formal recommendations and reports.
• Developed a deep learning-based financial document OCR, enabling extraction of trade economic information from complex documents

Skills/Requirement

• Degree in Computer Science/Mathematics/ Statistics or equivalent
• Minimum 5+ years of experience in Data Scientist and Machine learning technologies
• Strong experience in Data Science and Statistical methods for AI/ML including Deep learning methods
• Extensive experience in software development cycles and excellent programming skill with scripting languages & frameworks like Machine learning, Python, R, Scala, Java, TensorFlow, PyTorch.
• Good understanding of cloud based AI/ML products from Google, Azure, and AWS.
• Good knowledge of Agile Methodologies
• Familiar with micro service and/or big data technologies, eg. Openshift, Cloudera, Elasticsearch
• Strong experience in Data Models, data pipelines, Model Monitoring , MLops is required

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1551772 (Kankanala Lakshmi Prasanna)

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This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Assist with the installation and support of data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware components.
• Handle data-bearing devices, including hard drives and SSDs.
• Operate within a ticket-based environment for task management.
• Use pallet jacks or other lifting tools to move equipment safely.
• Support the Data Center Inventory and Asset Management Team in managing inventory and shipping tasks during peak times.
• Flexibility to work during weekends or holidays when required.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related field.
• At least one year of experience in IT Support or Monitoring (fresh graduates with a proactive mindset are encouraged to apply).
• Six months or more in handling technical equipment or machinery.
• Familiarity with computer hardware and components.
• Preferred certifications include CompTIA (A+, Server+, Network+) and Basic Structure Cabling (BSC).
• Physically capable of standing, walking, and lifting frequently, with or without equipment assistance.
• Strong communication skills in English, both written and spoken.
• Enthusiasm for learning and expanding technical skills.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Key Highlights

• Great exposure to the education sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,700 per month
• Contract Duration: 12 months

Key Responsibilities

• Provide data analytics, stakeholder management, and administrative support for the organization's department.
• Collaborate with IT and Data teams to implement operational digital bunkering requirements and ensure infrastructure readiness of bunker tankers.
• Monitor adoption and compliance by suppliers and craft operators.
• Perform advanced data analysis of bunkering sales and pricing trends using tools like Tableau, PowerBI, or Excel.
• Create data visualizations to support decision-making and resolve data discrepancies with stakeholders.
• Assist in digitization efforts, including document preparation for scanning and quality control checks.

Note: This role involves a mix of data-driven insights, stakeholder coordination, and operational support.

Key Requirements:

• Degree in Computer Science/IT or any related field.
• Familiar with Tableau, PowerBI, Excel or any data visualization tools will be a huge plus!
• Experience in data analytic role will be advantageous

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

Executive, Strategy & Master Planning

Duration: 1 year contract

Location: Caldecott

Responsibilities

• Data collation, cleaning, verification, and analysis to facilitate insights of sector (including services and social service providers) and infrastructure planning
• Staffing of engagements with social services providers and divisions
• User Acceptance Testing (UAT) following updates in backend system (i.e. AIMS)
• Research of overseas planning models

Requirements

• Degree in Social Work, Psychology, Data Analytics or equivalent
• Strong analytical and communication (both written and spoken) skills
• Proficient in Microsoft Office
• Geospatial knowledge and/or skill would be an added advantage

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9700

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Location: Redhill/ Queenstown

Job Responsibilities

• Consistently analyse relevant Aftersales Market data along given parameters, e.g. age distribution, car models, customer retention customer segment, components and parts
• Based on Market Analysis and in coordination with Brand Principal, initiate and conduct programs, campaigns and promotions to improve retention, throughput, parts sales/throughput, labour sales/throughput and revenue.
• Regularly monitor and market intelligence on pricing for parts, labour and accessories to meet revenue- and profit targets.
• To assist the Aftersales Development team in strategic sourcing for Aftersales through the development of sourcing strategy, management of tender projects, supplier development, contract management and negotiation etc. to generate cost savings and maximize profit
• Other ad hoc duties assigned

Job Requirements

• Degree in Data Analytic for related fields with at least 2 years of working experience
• Knowledge of the automotive market preferred
• Knowledge of Tableau and Power BI is required

Interested applicants may email resume to [email protected]

Jessie Hoe Huey Miin (CEI Registration No: R1103861)

Recruit Express Pte Ltd (EA: 99C4599)

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Key Responsibilities:

Python Development:

• Develop efficient, reusable Python code while adhering to Object-Oriented Programming (OOP), Don't Repeat Yourself (DRY), and Test-Driven Development (TDD) principles.
  • Lead the design, development, and maintenance of Python-based applications.

Cloud Infrastructure:

• Build and manage serverless applications using AWS services such as Lambda, DynamoDB, SNS, SQS, S3, and CloudWatch.
• Ensure the scalability, performance, and security of cloud-based systems.

Collaboration and Agile Development:

• Collaborate with cross-functional teams including front-end developers, DevOps engineers, and product managers to deliver features in an Agile environment.
• Participate in daily stand-ups, sprint planning, and retrospectives to contribute to team goals.

Performance Optimization and Troubleshooting:

• Troubleshoot and optimize applications to enhance system performance.
• Resolve complex technical issues related to cloud services and Python-based applications.

Code Review and Testing:

• Participate in code reviews to maintain high code quality.
• Ensure comprehensive testing and participate in the continuous integration and deployment (CI/CD) process.

Containerization:

• Work with containerization technologies like Docker to package and deploy applications.
• Support container-based development and deployment environments.

Security and Compliance:

• Implement security best practices in line with cloud-based systems.
• Ensure compliance with internal and external regulations related to data security and software development.

Qualifications:

Experience:

• 5+ years of hands-on Python development experience.
• Proven experience in developing serverless applications using AWS Lambda, DynamoDB, SNS, SQS, S3, and CloudWatch.
• Experience with containerization tools like Docker.

Skills:

• Strong understanding ofOOP, DRY, TDD principles, and other software development best practices.
• Experience with troubleshooting and optimizing cloud-based systems.
• Hands-on experience with CI/CD tools and processes.
• Knowledge of Agile methodologies and working in cross-functional teams.

Preferred Skills:

• Experience with additional cloud platforms (e.g., Google Cloud, Azure).
• Familiarity with infrastructure-as-code (e.g., AWS CloudFormation or Terraform).
• Knowledge of microservices architecture and distributed systems.