Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a passionate and strong leader in Data Analytics and Data Science to lead the strategy, development, and implementation of data-driven solutions across the organization. This role will oversee and manage the end-to-end process, from data collection, analysis, solution deployment and business integration.

What you will do:

• Data Strategy & Vision: Understand key company priorities and translate them into an actionable Data strategy to drive data maturity across the organization, enabling business growth, improve risk management, and enhanced customer experiences. 
• Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to develop a high performance data team
• Influence Stakeholders: Partner with cross-functional teams such as Data Engineering, Product, Marketing, Sales, Risk, and Finance to drive data-driven initiatives, align on objectives, and ensure effective execution. 
• Data to Drive Business Impact:  Initiate new opportunities and continue existing projects where data can deliver analytics recommendations to drive key business metrics, and develop processes and frameworks to enable this.  

What we are looking at:

• At least 7+ years of experience in data analytics, data science, or related fields, with at least 3 years in a leadership role. Experience in  Financial Services, Fintech, and/or Tech companies and domain exposure to SME credit risk is preferred.
• Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Experience being a manager of managers is preferred.
• Proficient in SQL, Python or R and data visualization tools (e.g., Tableau, Qlik). Experience selecting and implementing tools for analytics and data science is preferred.
• Ability to translate complex data insights into actionable business strategies and influence stakeholders.
• Excellent communication skills, capable of presenting insights to non-technical stakeholders and influencing strategic decisions.
• Excellent problem solving and critical thinking skills  in a structured fashion
• Strong prioritization abilities according to business needs and constraints.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

We are seeking an experienced Data Engineer with a strong background in Hadoop, Spark, and SQL, specifically within the banking sector. The ideal candidate will be responsible for designing, building, and maintaining large-scale data pipelines and platforms to support critical banking applications and decision-making processes.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain efficient data pipelines and workflows using Hadoop and Spark frameworks to support the bank’s data processing needs.
• Data Integration & ETL: Create ETL processes to extract, transform, and load large datasets into Hadoop ecosystems from various banking systems, ensuring data consistency and accuracy.
• Database Management: Write optimized SQL queries to manage and analyze data stored across relational databases, data lakes, and cloud platforms.
• Data Processing & Analysis: Implement scalable data processing solutions to analyze large datasets, provide insights, and deliver solutions for financial services and risk management.
• Collaboration: Work closely with business analysts, data scientists, and IT teams to ensure data solutions align with banking sector needs, including compliance with regulations and reporting requirements.
• Performance Optimization: Fine-tune Hadoop and Spark applications for performance, improving throughput and reducing latency.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Strong years  experience as a Data Engineer, specifically within the banking or financial sector.
• Proficiency in Hadoop ecosystem tools (HDFS, Hive, HBase) and Spark for large-scale data processing.
• Strong experience with SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes) is a plus.
• Experience in data governance and compliance regulations within the financial industry.
• Excellent problem-solving and analytical skills.

• Salary: SGD 6000 - 9500
• Great Work Culture
• Includes comprehensive insurance for self and family. Includes Specialist and Dental Coverage.
• Includes Standard Annual and Sick Leave

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.

Skillset Requirements

• Degree in IT or related.
• At least 3 years of relevant experience in data management, data analytics, and data engineering user.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in Python, SQL ,Data modelling, ETL,PowerBI etc.
• AI & ML will be good to have.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

About Us
Freyr Technology is at the forefront of AI Data Center development. We are committed to designing and implementing scalable, resilient network fabrics that support AI computing and storage infrastructures. As part of our mission, we are looking for a skilled Data Center Networking Engineer to join our team. This role will be crucial in ensuring optimal performance, reliability, and scalability of our data center networks. This role will be crucial in ensuring optimal performance, reliability, and scalability of our data center networks, with a special focus on IB (InfiniBand) and RoCE (RDMA over Converged Ethernet) technologies.

Key Responsibilities:

• Improve and work with automation tools to speed up network provisioning and enhance the observability of network health.
• Help with decision-making on the network component level across the integrated cloud systems based on performance, features, and cost, including analysis of risks and emphasis on ease of use, reliability, security, availability, maintainability, sustainability, and quality.
• Defines systems implementation and integration approach and plans to ensure optimum performance and reliability across servers, networks, related utilities, and hardware and software that comprise the cloud infrastructure.
• Delivers end-to-end technical solutions to customer problems, including deploying solutions, executing benchmark tests, and preparing documentation.
• Collaborates with other teams to analyze next-generation requirements and opportunities and may influence and guide research and academic collaboration in the space of cloud systems and solutions, including proof of concept and solutions beyond current industry approaches.
• Leverage your knowledge of InfiniBand (IB) and RoCE (RDMA over Converged Ethernet) to optimize network performance in high-performance computing (HPC) environments.

Minimum Qualifications:

• Education:
  • Bachelor's Degree in Electrical/Computer Engineering, Computer Science, or related field with 6+ years of experience.
  • Master's Degree in Electrical/Computer Engineering, Computer Science, or related field with 4+ years of experience.

Experience:

• 5+ years of experience managing and troubleshooting complex data center networks.
• 3+ years of experience with InfiniBand (IB) and/or RoCE (RDMA over Converged Ethernet) technologies.
• 5+ years of experience with classic routing and switching technologies.
• 3+ years of experience with network technologies such as VXLAN/EVPN.
• 3+ years of experience working with Arista hardware, EoS, and eAPI.
• Familiarity with network monitoring techniques, including telemetry streaming.
• Proficiency with Linux-like operating systems.
• Experience with network automation tools (e.g., Ansible).
• Knowledge of Network Zero Touch Provisioning (ZTP).

Preferred Qualifications:

• Python/GO, Ansible, GIT
• Network services such as DDI, Firewalls, and Load Balancers
• Knowledge of the server platforms, NICs
• CI/CD methodology and GitHub/GitLab repository distribution
• Data Center planning - rack elevations, cabling plan, cables/transceivers.
• IP planning

Additional Requirements:

• Travel: Willingness to travel to and potentially reside for extended periods in Thailand, Malaysia, and Indonesia for project-based assignments.

Join us in driving innovation in AI Data Center technology!

Established in 2006, Easmed has grown over the years to be a leading medical device distributor specialising in bringing innovative products in the fields of ENT, General Surgery, Urology, Sleep Medicine, Respiratory and Critical Care in South-East Asia.

As part of our expansion plan to continue to push our boundaries to transform healthcare through medical education and delivering our promise to create a better life for all and hence raising the standards of medical care, our team is seeking to recruit an Data analyst / IT Support Executive.

Reporting to the Senior Regional Operations & Technical Service Manager, you will represent the company to support IT needs. You will be the first point of contact for employees who experience technical issues with computer hardware, software, networking or other devices.

Specifically, you will

• provide technical support & advice to employees and customers
• install, configure and maintain computer hardware, software and systems
• troubleshoot and solve technical issues relating to computers/phones/tablets
• maintain software licenses and the in-house server
• manage email accounts – including set up for new users
• manage purchase of new assets, the return of assets and the inventory for each repair
• manage and maintain network security & equipment safety
• assist IT projects and deployments
• train and guide employees on the use of technology
• evaluate, configure & implement new technology for company
• keep up-to-date with new technologies and industry developments

You should possess at least a Diploma preferably IT-related and/or have 1 to 2 years of relevant working experience.

To succeed in this role, you should possess the competency for efficient & quality to ensure IT team’s contribution is valuable. As you will be required to work with various divisions, you must possess strong collaboration skills.

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

Team Summary

Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

Join us as a Senior Manager, Data Solutions and Analytics and play an instrumental role in steering our Data strategy and delivery of data projects with Visa clients. You will translate analytical insights and used cases into captivating narratives tailored for our clients and stakeholders while offering valuable data advice to support business growth.

What a Senior Manager, Data Solutions and Analytics does at Visa:

• Identify new client opportunities by collaborating with market and regional teams.

• Develop data narratives, case studies and play back results to internal teams across the AP region.

• Grow Presence of Data Science projects with Visa clients across the region.

• Lead Commercialization activities for client data projects across the region.

• Coordinate Data Science initiatives across market and regional accounts.

• Coordinate with client data projects delivery team and project governance.

• Work closely with our different functional practice initiatives and account planning sessions.

Why this is important to Visa

This role will be vital in the growth of our Data as a Service business across Asia Pacific. The role will help to scale, diversify and transform our Managed Services Data capabilities which will support Visa’s business in the region. You will evolve our Data Services to drive uptake and delivery of Data projects. You will own key internal and external stakeholder relationships with Visa teams and our vendors as well as supporting our clients.

Projects you will be a part of:

This role will play a critical role in developing compelling stories from data to drive client actions and optimize portfolio performance. You will be working closely with teams across different regions to build new solutions and ideate approaches for various markets.

We’re searching for a Data Center IT Operator to be part of our diverse team of talent here at NCS!

If you believe in going above and beyond, embodying excellence, and bringing people and technology together like never before, we would love to have a conversation with you!

What we seek to accomplish together:

• Perform shift duty to support 24x7 DC Operations stand-by duties for emergency.
• Assist to oversee the IT equipment hardware inventory on individual rack inside the DC
• On-site Management of works conducted within the Data Centre such as site preparation, site survey, network cabling, electrical wiring, air-conditioning, building power supply (including power generator) tests, infrastructure & System maintenance, on-site/off-site standby activities etc
• Coordinate preventive maintenance for Data Centre downstream infrastructure which includes Uninterruptible Power Suppler (UPS) systems, Water Detection systems, Fire Suppression systems, PDU, CCTV systems, Card Access systems etc.
• Operate Electronic Visitation Management System (Update Authorizer and customer access request accurately and promptly).
• Remote Hand Support (Media Management, Visual Inspection, Reboot devices, staging room, Physical connect/disconnect of HDD, network cable connectivity test, insertion of fibre SFP).
• Handle input and output media with due care for integrity of data and utility of media for subsequent use, including off-site storage.
• Perform Event Monitoring for Data Centre Facilities infrastructure to ensure they are functioning optimally (e.g. UPS, power, temperature control, humidity, water detection sensor, etc.)
• Perform event monitoring for IT Systems and Network infrastructure.
• Perform incident escalation. Ensure incidents are responded and attended to. To redirect for 2nd or 3rd Level resolution base on criticality, impact and customer Service Level Agreement (SLA).
• Manage and mitigate escalations of high impact system failures and assist in tracking the incidents till closure.

As a Senior Data Scientist in Smart Manufacturing and AI at Micron Technology Inc., your responsibilities will includes creating comprehensive platform solutions that enable Fulfilment & Logistics Operations to leverage data and heuristics methods for decision making. You’ll collaborate with Global Operations and various sites to enhance aspects such as Cost, Scale, Quality, and Cycle Time. This will be achieved through the establishment and design of data architecture, and by working closely with key stakeholders to further the strategic initiatives of Global Operations.

Responsibilities:

Construct Future-Generation Data Systems

• Collaborate with diverse teams to establish and guide the roadmap and architecture of data infrastructure.
• Conceptualize, design, and develop a scalable and maintainable data pipeline encompassing data warehousing, data integration, and ETL processing.
• Create documentation related to software development, design, test cases, user training, and release.
• Lead or participate in bespoke data integration projects involving internal data systems and/or external subcontracted manufacturing and logistics systems.
• Work with SMAI/IT architectures/teams to plan and prioritize infrastructure delivery, ensuring processes and deliverables are aligned with the roadmap.
• Work alongside backend developers to define API specifications (e.g., REST services)

Ensure High-Quality Operational Data

• Set up best practices and tools for software development to uphold data integrity, perform cleanup, and validate across all pertinent data sources.
• Facilitate ongoing improvements in data quality to minimize support requirements.
• Establish centralized logging and monitoring systems equipped with logic for generating usage reports and conducting audits.
• Work in conjunction with IT to guarantee efficient processes for incident management, problem resolution, and change management.

Design and Implement Data Analytics

• Develop comprehensive business analysis that identifies challenges, opportunities, and potential solutions for the business. Project management and planning.
• Engage with extensive and intricate data sets to address a broad spectrum of business issues using various analytical and statistical methodologies.
• Resolve intricate optimization challenges utilizing optimization techniques.
• Create and standardize data science solutions within a production data pipeline.
• Ascertain statistical validity and significance, conduct statistical analysis to guide data-driven decisions, and identify anomalies, trends, and shifts.

Create Contemporary Visualization Solutions and Web Applications

• Develop web application and automate the needs for business reporting.
• Conduct interactive design sessions with customers.
• Utilize experimentation methods and design tests to enhance key user experiences.

Qualification:

A bachelor’s or master’s degree in data science, computer science, or information technology.

Minimum of 3 to 5 years of professional experience in the following areas:

• Software application (.NET or Java) and web application development (preferably Angular) and familiarity with JavaScript
• Business analysis and project management– assess processes, determine requirements, and deliver data-driven solutions to stakeholders
• Proficiency with business intelligence solutions (Nifi, Tableau, or Microsoft Power Platform)
• Comprehensive knowledge of relational databases, table and schema design, dimensional data modeling, SQL query and query optimization, and familiarity with database management systems (Microsoft SQL, HANA, or Snowflake)
• Understanding of the Agile development process
• Strong foundation in machine learning, statistical analysis, and data modeling.
• Outstanding problem-solving skills, with the ability to multitask and manage multiple projects concurrently.
• The ability to work in various areas of a development lifecycle, either as part of a team or independently.
• Self-driven, with a strong sense of ownership and the ability to work autonomously with minimal supervision.
• Effective communication skills, capable of presenting complex concepts and findings to both technical and non-technical stakeholders.
• High attention to detail, with a focus on data accuracy and quality.
• A team player who has experience working on projects with global stakeholders.
• Knowledge of the Manufacturing Execution System, SAP enterprise master data, and an understanding of logistics business acumen would be an advantage.
• Knowledge of capacity modeling, planning, and optimization would be an added advantage.

You will primarily be:

• Responsible for the deployment, and support of analytical solutions as part of an established APAC Analytics & BI team.
• Supporting our regional data operations team, project management, and platform experts to deploy 1st party data  solutions for our media & CRM teams across Asia-Pacific.
• Proactively and innovatively driving excellence in the delivery of data and analytics solutions for advertising and CRM.
• Supporting the regional data team in partnering with stakeholders to provide innovative data solutions at both regional and local market levels.

• Analyse the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.
• Understanding of reporting or visualization tool like SAP BO and Tableau is important.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.
• Strong SQL and data modelling and data analysis skills.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

JOB DESCRIPTION

The candidate will have opportunities to work on exciting projects/deals in the fast-growing data centre industry, seeing through the entire project life cycle from inception to execution. He/she will be part of a team that works closely together to identify, source, negotiate and execute business opportunities in both new and existing markets.

As part of Keppel Group’s drive towards advancing sustainable development, the candidate will also have opportunities to be involved in the development and implementation of sustainable solutions in the data centre space.

This role will report to the Head of Business & Programme Development and is based in Singapore.

Job Description:

Drives data centre development projects in Singapore and overseas

Actively contribute and participate in driving/co-driving key strategic initiatives and in developing business or investment cases (including but not limited to new market entry, partnerships, decarbonisation/renewables etc)

Provide overall support for an innovative and sustainable data centre campus development in Singapore

Involve in sustainability efforts to decarbonize new and existing data centres, including working with renewable energy and low carbon energy providers

Support end-to-end investment process, including origination, deal evaluation, commercial viability, financial analysis and modelling, negotiations, due diligence, and execution

Conduct market research / scanning and be up to date with industry developments in key identified markets

Prepare briefing papers and presentations materials for management, potential partners and customers

Mentor and guide junior team members where necessary

Support ad-hoc initiatives as required

JOB REQUIREMENTS

Skills & Qualifications:

Bachelor’s degree in Business, Accounting, Economics, Corporate Finance, Real Estate, Environmental Engineering or equivalent

Minimum 8 to 12 years relevant working experience in business development, real estate, infrastructure, investment banking, renewables, or M&A. Experience in data centres or energy-related industries is a plus.

Good business acumen to be able to negotiate and structure deals. Demonstrated ability to engage senior stakeholders.

Able to work independently in a fast-paced environment, driving and executing initiatives under pressure and tight deadlines.

Ability to conduct financial, commercial and risk analyses of business opportunities.

Good communication and writing skills. Competent in MS Word, Excel and PowerPoint

Enthusiastic learner who is independent, self-motivated and proactive, yet also an effective team player

Willing to travel as required

Job Title: Data Engineer

Location: Tai Seng, Singapore

Job Type: Full-Time

Overview:
We are looking for a fresh graduate (degree or diploma) Data Engineer to join our growing team. In this role, you will design, build, and maintain data pipelines and infrastructure to support the collection, storage, and analysis of large volumes of data. The ideal candidate will have studied data engineering, cloud technologies, and have knowledge at optimizing data systems for performance and scalability. This position plays an important supporting role to our engineering team.

Key Responsibilities:

1. Data Pipeline Development:
   • Design, construct, and maintain scalable data pipelines that facilitate the extraction, transformation, and loading (ETL) of data from multiple sources.
   • Optimize data pipelines to ensure high availability, performance, and data accuracy.
   • Automate data workflows to streamline data processes and reduce manual interventions.
2. Data Infrastructure Management:
   • Develop, implement, and manage large-scale data processing systems using modern cloud platforms (e.g., AWS, Azure, Google Cloud).
   • Design and implement scalable data storage solutions such as data lakes, data warehouses, and databases (e.g., Redshift, Snowflake, BigQuery).
   • Monitor data systems for performance and scalability, making necessary improvements to infrastructure.
3. Collaboration with Stakeholders:
   • Work closely with data analysts, data scientists, and business teams to understand data requirements and deliver solutions that meet their needs.
   • Collaborate with software engineers and IT teams to integrate data systems with existing applications and services.
   • Ensure data architecture is aligned with the overall business strategy and technical environment.
4. Data Governance and Security:
   • Ensure data quality and reliability by implementing data validation, cleansing, and integrity checks throughout the pipeline.
   • Enforce data security best practices, ensuring that sensitive data is appropriately protected and compliant with regulations.
   • Implement data governance policies to manage metadata, data lineage, and access controls.
5. Performance Optimization:
   • Analyze and optimize query performance on large datasets, ensuring fast data retrieval and minimizing costs.
   • Implement monitoring and logging to identify bottlenecks and optimize resource usage.
6. Continuous Improvement:
   • Stay current with emerging data engineering technologies and techniques to keep systems at the cutting edge.
   • Continuously explore new ways to improve data architectures, pipelines, and processes to enhance efficiency and scalability.

Qualifications:

• Fresh graduates with Bachelor’s degree or Diploma in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Proven experience as a Data Engineer or in a similar role, working with large-scale data systems.
• Strong proficiency in SQL, Python, or other programming languages used in data processing.
• Knowledge with cloud-based platforms and services (e.g., AWS, Azure, Google Cloud).
• Familiarity with distributed data processing frameworks such as Apache Spark, Hadoop, or Kafka.
• Knowledge with data warehousing and ETL tools (e.g., Snowflake, Redshift, Airflow, DBT).
• Strong understanding of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• Knowledge of data modeling, data architecture, and data governance practices.

Preferred Skills:

• Knowledge with machine learning pipelines or real-time data processing.
• Familiarity with DevOps practices and CI/CD pipelines for data engineering.
• Knowledge with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Benefits:

• Competitive salary and bonus structure.
• Opportunities for professional development and certification.

Application Process:
If you are passionate about building data systems that support impactful business decisions, we encourage you to apply. Please submit your resume and cover letter to [[email protected]].

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the Role

We are seeking a hands-on Senior Data Engineer to help us build out and manage our data infrastructure, which will need to operate reliably at scale using a high degree of automation in setup and maintenance. The role will involve setting up and managing the data infrastructure plus building new systems where required. Responsibilities will extend to building and optimizing key ETL pipelines on both batch and streaming data. The ability to work with the teams from product, engineering, BI/analytics and data science is essential. Ownership needs to be taken of data model design and data quality. The individual will also play active roles in ensuring data governance tooling is implemented and policies thereby adhered to.

The individual will also need to be able to work with technical leadership to make well informed architectural choices when required. A high degree of empathy is required for the needs of the downstream consumers of the data artefacts produced by the data engineering team, i.e. the software engineers, data scientists, business intelligence analysts, etc and the individual needs to be able to produce transparent and easily navigable data pipelines. Value should be assigned to consistently producing high quality metadata to support discoverability and consistency of calculation and interpretation.

Candidates should have a wide set of experience across the following platforms, systems, languages and capabilities:

• Ideally GCP, but strong experience in another platform such as AWS or Azure will suffice
• Event streaming platforms such as Kafka
• Stream analytics frameworks such as Spark, GCP Dataflow, etc
• Workflow scheduler such as Apache Airflow
• Cloud data warehouses such as c, Redshift or Snowflake
• Fluency in using Kubernetes, Python.
• Comfortable writing detailed design documents

The Senior Director, Project Management and Business Operation is a leadership role, responsible for leading the Data Center development projects in the APAC region.

This role will work closely with the function leaders of various business units, including but not limited to Land Sourcing, Design Management, Construction Projects, Product Management, Corporate functions, etc.

The Senior Director is responsible for ensuring the development and implementation of efficient operations and cost-effective systems to meet the current and future needs of the organization whilst fostering a collaborative and innovative team culture focused on operational excellence.

Core Duties and Responsibilities

• Establishes and optimizes day-to-day operational activities, including revenue and sales growth, expense, cost and margin control and monthly, quarterly and annual financial goal management.
• Leads efforts to develop and improve through efficient and effective integrated processes, implementing common management processes/services to leverage organizational resources.
• Directs operations review of cost and service structures, productivity measures and delivery methods to achieve planned targets.
• Acts as the point of contact to obtain funding for APAC projects from parent companies in Japan.
• Participates in acquisition and growth activities that support overall business objectives and plans.
• Manages and oversees the day-to-day operations to meet budget and other financial goals.
• Ensures that operational activities comply with organizational requirements for quality management, legal stipulations and general duty of care.
• Reviews and assesses sales opportunities.
• Participates in acquisition and growth activities that support overall business objectives and plans
• Liaison among Function Executives in APAC to ensure that all department heads are fully informed of the operational objectives of the business, and ensure challenges are resolved collaboratively.
• Assists the APAC Managing Director and contributes to strategy formulation and the setting of strategic direction.
• Advises the management team and/or department heads on key planning issues and make recommendations on important business decisions.
• Facilitates regular meetings with department heads to ensure that operational objectives are achieved.

Knowledge and Attributes:

• Strategic leader with creative and financial acumen coupled with strong business intellect necessary for taking the business to the next level.
• Significantly vast ability at interpersonal and communication skills, both verbally and written.
• Significantly vast business acumen, financial expertise, and strategic planning skills.
• Significantly vast problem-solving skills.
• Significantly vast leadership skills.
• Ability to collaborate with executives at a strategic and tactical level.
• Ability to understand new issues quickly and make wise decisions.
• Ability to work under pressure, plan personal workload effectively and delegate.
• Ability to inspire and move a cross-functional team towards a unified direction with a common vision.
• Significantly vast knowledge of big data analysis and performance/operation metrics.
• Significantly vast understanding of business functions such as HR, Finance, marketing, etc.

Additional Requirements:

• Bachelor's degree or equivalent in Business Administration or a related field.
• Significantly vast experience gained within a similar senior leadership role preferably within a similar global organization in Data Centers and/or IT infrastructure business.
• Significantly vast hands-on experience in strategic planning, and business operations.
• Significantly vast leadership skills with excellent work ethic.
• Significantly vast experience with successfully managing complex budgets.
• Significantly vast experience in real estate transactions and the formation and management of investment funds is preferred.
• Significantly vast experience in collaborating with global stakeholders across multiple time zones.

As a Data Engineer specializing in Data Mapping & ETL, you will play a crucial role in designing and implementing data solutions that ensure efficient and accurate data movement across systems. Your responsibilities will include:

• Developing and maintaining ETL processes for data extraction, transformation, and loading.
• Conducting data mapping to transform data across multiple systems and formats.
• Collaborating with data architects and other stakeholders to understand data requirements.
• Optimizing ETL processes for performance and reliability.
• Conducting data quality assessments and implementing data validation techniques.
• Documenting ETL processes and best practices for future reference.

This role will require a blend of technical expertise and analytical skills to manage complex data flows effectively.

To be successful in this role, you should meet the following requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience in ETL development and data mapping.
• Strong proficiency in SQL and experience with databases such as Oracle, Postgres, or SQL Server.
• Experience with ETL tools such as Apache NiFi, Talend, or AWS Glue.
• Familiarity with data warehousing concepts and dimensional modeling.
• Knowledge of data quality frameworks and data governance principles.
• Proficient in scripting languages like Python or Shell.
• Ability to work in an Agile environment and collaborate with cross-functional teams.
• Preferred : Immediate joiner or max 1 Month

Responsibilities:

• Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
• Design and build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python.
• Familiar with SDLC process: Requirement gathering, design and development, SIT testing, UAT support and CICD deployment for enhancements and new ingestion pipelines.
• Ensure compliance with IT security standards, policies, and procedures

Requirements

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on the development and support of data ingestion pipelines.
• Experience with building on data platforms, particularly Snowflake.
• Proficient in SQL and Python.
• Experience in continuous integration and continuous deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design, implement solutions and perform code reviews
• Experience with Cloud environments (e.g. AWS).
• Experience in Java.
• Experience in ETL tools (e.g. Informatica).

Working Hours:

• Monday - Friday: 8:30am - 5:30pm

Location:

• Near One North MRT

Job Description:

• Gather information on existing solutions for a PET
• Run experiments to benchmark and evaluate potential optimal solutions
• Design implementable workflows/ solutions that agencies can use
• Synthesize research on advancements, case studies, and benchmarks to develop materials
• Other ad-hoc tasks assigned

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science or a relevant field of study
• Experience with quantitative analysis, including machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in at least one programming languages, such as Python or R
• Experience with the cloud (e.g. AWS, GCP, Azure)

Team Summary

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Solutions organization supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. The Marketing function is supported by the Global Data Solutions organization, a high-performing team of data scientists, data analysts and data engineers helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa.

To support our rapidly growing group we are looking for data scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. 

What a Marketing Data Scientist does at Visa:

The position will be based in Visa’s Singapore office. The successful candidate will have the opportunity to work on a variety of analytical challenges across consumer behavior analytics, marketing campaign measurement, predictive modeling, alternative marketing data capability development such as matching research data to internal transaction data, etc. S/he will have a highly analytical bent of mind and requisite skills to independently analyze and interpret data insights.

• Conduct statistical analyses on transaction data with big data tools like Hadoop and Spark to identify interesting and valuable insights and trends, produce visualization and reports to internal and external teams
• Supporting the development of a robust system for measuring and optimizing the quality of deployed algorithms and models.
• Monitoring AI models in production to evaluate performance, model drift, and decay.
• Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Partner with roles across the organization including consultants, engineering, and data scientists to address prioritized business problems

Why this is important to Visa

With a rapid change in the payment landscape, new regulations around Open banking and Open data and the emergence of new Fintech players – the payment ecosystem is rapidly evolving, and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose.  Visa with its global reach and rich transaction data set combined with Marketing expertise, is ideally positioned to assist clients solve their strategic business problems with insights & world class go-to-market ideas to help grow our clients business.

Projects you will be a part of:

The nature of projects this role will play a key role in vary. This would include collaborating with Visa Marketing teams, primarily the Insights & Analytics team to help solve our clients’ most strategic business problems by leveraging data science solutions, such as working on integrating VisaNet data with other external datasets .

• Matched Panel/Research: Integrate Survey based consumer data with Visanet proprietary datasets to enrich transactional information with demographic, attitudinal and behavioral information to help Visa & our client’s measure their campaigns and drive loyalty.
• Marketing Measurement: Measure and optimize Visa and our clients’ campaigns through a variety of methodologies ranging from experiments (test and control) to econometric models
• Time-series/predictive models: build and use simulations to understand what if scenarios, and projected outcomes of media investments vs not investing
• Consumer behavior analytics: Design and develop analytics for Visa and our clients’ to quantify transactional and payment volume outcomes of changing consumer behavior, e.g. loading card on file, subscribing to streaming services, tapping to pay.

• Design, implement, and maintain ETL processes to extract data from multiple sources, transform it based on business rules, and load it into target systems.
• Develop and manage data mapping documentation, including source-to-target mappings and transformation logic.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and optimize data flows.
• Conduct data quality checks and validation to ensure the accuracy and integrity of data.
• Optimize ETL workflows for performance, scalability, and reliability.
• Monitor and troubleshoot ETL processes, resolving issues promptly to minimize downtime.
• Stay up-to-date with industry best practices and emerging technologies in data engineering and ETL.

• Proven experience as a Data Engineer, with a strong focus on data mapping and ETL processes.
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with data warehousing concepts and architecture.

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

Job Description

The Executive is responsible for the collection and analysis of sales data to increase sales productivity and customer satisfaction as well as reduce sales barriers and low revenue levels. He/She creates standardized and customized reports that evaluate existing and potential customers, markets, products and business opportunities. He/She also manages sales performance data and all other system data to ensure organization-wide data integrity and consistency.

System Data Custodian

• Manage enabling technologies, including CRM, to optimize the effectiveness of the organization’s strategy and investments
• Administer data management policies and procedures to ensure accuracy, integrity and consistency of data
• Manage system database; create and update data accurately and in a timely fashion

Pricing Management

• Coordinate pricing strategy formulation and take necessary pricing actions to enhance profitability, ensuring integrity and accuracy in all pricing matters
• Work closely with various internal stakeholders including sales, logistics and medical specialty care to tabulate cost of sales
• Compute and update base prices
• Govern and administer pricing and discounting management framework to ensure compliance with established guidelines, policies and procedures

Business Intelligence Reporting

• Generate business reporting for strategic analysis and internal business review
• Prepare business intelligence including revenue and product trends, business segment performance, leading growth indicators and sales effectiveness
• Assist in the consumer research and collation of industry specific information, including industry trends and competitor activities, as well as pipeline reports

Work Experience & Qualification

• Recognized Bachelors Degree in Mathematics, Statistics, Accountancy, Business, Engineering or related fields
• Minimum 1 years of relevant work experience, fresh graduates are welcomed as well
• Experience in QlikView / Qlik Sense, Tableau or any other BI tools
• Experience and knowledge in Business Intelligence and Market Analytics

Competencies

• Communications: Good oral, written and inter-personal communications skills in dealing with individuals and groups at all levels
• Functional: Good working knowledge of word processing, spreadsheet, database and presentation software
• Industry: Basic knowledge of various regulations, policies, statutory requirements, assistance schemes and procedures related to the industry
• Planning: The ability to forecast resources and to manage resources to deliver workplace objectives
• Analytical Ability, Problem Solving & Strategic Thinking: The ability to assimilate and analyze information quickly and accurately and to formulate decisions and make recommendations for the short- to medium-term

Attributes

• Driven and committed individual who addresses and resolves challenges proactively and achieve goals and deliver optimal results
• Positive and flexible individual who manages resources and tasks in an effective and efficient manner
• Strong will individual who ensures that one is always doing the right thing by upholding the ethical and professional standards and is honest in all transactions with the organization and the stakeholders
• Meticulous and attentive to details
• Embrace the idsMED values of Loyalty, Integrity, Balance, Care, Agility, Reliability and Entrepreneurship
• Show a genuine desire to care for others, with a Happy, Engaging, Approachable, Responsible and Trustworthy personality

• Support AP/AR
• Prepare documents for billing.
• Provide professional client service and ensure reporting timelines are met
• Setup charts of accounts for new accounting clients
• Record receipts and payments in accounting software
• Prepare month-end payments and online banking transactions
• Responsible for month-end closing process and preparation of monthly financial report for management purposes
• Update cashflow report
• Audit liaison and drafting of financial statements
• Other related accounting assignments

About Us!

The mission of Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB aims to be data-driven to the core and adopt evidence-based decision making in developing better housing policies service, improving service delivery and optimising operations.

What Will You Do?

As a data engineer, you will play a key part in helping HDB begin its journey to be data-driven to the core. In this role, you will assume the following responsibilities:
• Create and maintain data architectures that meets the needs of HDB.
• Build and maintain data platforms required for storage, extraction, transformation, and loading of data from a wide variety of data sources.
• Improve discoverability and distribution of analytical data to data analysts and data scientists.
• Implement best practices in data security throughout the lifecycle of analytical data.

You will be a Great Fit if you:

• Background in Information Systems (IS), Computer Science or related field in a reputed institution.
• 3 years relevant experience in designing and maintaining data platforms such as data lakes, data warehouses and the associated data pipelines is preferred.
• Proficient in creating and maintaining complex data pipelines using tools such as Microsoft SQL Server Integration Services (SSIS).
• Knowledge of data platforms such as Spark, Flink, Kafka, SQL and NoSQL databases, Airflow
• Knowledge of the latest developments in data engineering and best practices in data management.
• Knowledge of analytical tools is an advantage e.g., SAS Viya, Tableau, PowerBI, Amazon SageMaker, ArcGIS Pro
• Knowledge in cloud computing, design and development is an advantage e.g., AWS, Azure, GCP
• Knowledge of cloud technologies in data platforms is a plus e.g. Snowflake, AWS Redshift, Google BigQuery, Azure Synapse.
• Strong project management and organization skills.
• Possess an eagerness to learn and impart new skills.
• Be a good team player.

Good to Have:

- Great Attitude to bring the best out our team
- Team Player; we work together as a team
- Possess an eagerness to learn and impart new skills
- Autonomous & Take ownership

Fresh graduates are welcomed.

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15180322/3b1ec30b-7530-1eef-a0bf-708d55a001ea

About Us!
The mission of the Housing & Development Board (HDB) is to provide affordable, quality housing and a great living environment where communities thrive. To achieve its mission, HDB strives to be data-driven to the core, adopting evidence-based decision making to develop better housing policies service, improve service delivery and optimise operations.

What Will You Do?

As a data scientist, you will play an important role in supporting HDB on its journey to become data-driven to the core. In this role, you will assume the following responsibilities: 

• Provide guidance to business units on data science techniques and how it may help them 
• Conceptualise and execute data science projects for business units
• Apply analytical techniques such as data mining, statistical analysis, machine learning etc.
• Uncover actionable insights and present them clearly in an easy-to-understand manner
• Work with IT and Internal Audit units to operationalise data science projects by deploying them into production and maintaining them
• Document, share and continuously improve data science practices 
• Manage a range of stakeholders, while remaining focused on delivering high-impact data-driven outcomes for the good of the organization.

Some of the projects that you might be involved in include:
• Data visualization for pattern and trend identification
• Anomaly detection via machine learning algorithms
• Analysing textual data for insights and compliance issues
• Identifying trends and deviations for further investigation

You will be a Great Fit if you:

• Possess a relevant background (i.e., Bachelor’s, Master’s preferred) in Statistics, Data Science, Machine Learning, Economics, Mathematics, Operation Research, Computer Science or related technical field from a reputed institution. 
• Have 2+ years of relevant work experience in a business analytics or data science facing role
• Are experienced in use cases related to audit/compliance will be beneficial
• Are proficient in analytical tools such as Python, R, Tableau, etc.
• Have strong analytical, project management and organization skills

An Ideal Candidate would be:
- A team player who loves working with diverse teams
- Passionate about working in the public service for the public good
- Independent and self-driven
- A clear and competent communicator

Successful candidates will be offered a 1+1 year contract in the first instance. Conversion to perm is dependent on good performance.

Find out more about a career with HDB at www.hdb.gov.sg/cs/infoweb/about-us/careers

Please apply for the job through the Careers@Gov job portal as linked:

https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/15180394/3b1ec30b-7530-1eef-a0bf-aff7933461ea

JOB PURPOSE:

We are looking for a passionate and quick-thinking individual. This successful candidate will transform raw data into meaningful and insightful information, that empowers our business users for better decision making.

KEY RESPONSIBILITIES:

• Learn and understand WSI Sourcing business workflow and data requirements.
• Interpret data, analyze results using data collection techniques and providing reports & dashboards
• Develop and implement data collection techniques where needed, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain good data in our database systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

JOB HOLDER’S COMPETENCIES & EXPERIENCE:

• Degree/Diploma Computer Science, Information Management or Statistics, Mathematics
• At least 5 years of working experience as a data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Proficient in writing and optimizing SQL statement, and programming (XML, data transformation services, ETL)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Experience with using or implementing Power BI would be advantageous
• Proficient in data automation
• Experience with application of Large Language Models would be advantageous