Responsibilities

• Perform document related activities, eg. Sorting, preparation, scanning
• Perform data entry of materials
• Able to work as a team
• Other related duties assigned

Requirements

• Start immediately
• Basic typing skills
• Good computer knowledge
• Candidates who are willing to work at other area are encouraged to apply
• Able to start work immediately preferred
• Training provided

Available options:

• Day shift: Monday to Friday 8:30am - 5:30pm

Work location

• 1001 Jalan Bukit Merah

Salary : $1,200 - $1,400

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

Location : Upper Serangoon Road, The Midtown Singapore
Working days: 5 days (Wednesday to Sunday)
Centre is off on Monday & Tuesday (Both weekend need to work)
Working hours : 44 hours per week varies, weekdays end latest 9:30pm , weekend 6:30pm
Salary : $1,800 - $2,500

Job Description :

• Will carry out co-ordination of classrooms, worksheets organisation and arrange replacement classes.
• Communication with parent/guardians of students with regards to school admin matters (Whatsapp company mobile provided for use on premise.)
• Patient and willing to follow work guidelines and structure.
• No finance functions required. eg (no bookeeping, billing, collections or secretarial functions etc.)

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

The Role

The Data Engineer will be part of the data engineering team. He/she will design and develop high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Job Responsibilities

· Build and support data pipelines and all associated Software Engineering infrastructure tasks.

· Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.

· Analyse data requirements, prepare functional and non-functional specifications for the data products.

· Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.

· Analyse and interpret data into business insights.

· Design and develop the dashboards and visualizations using the BI tools.

· Ability to understand and convert the business logics into SQL queries and validate it against the data.

· Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.

· Implement deployment approaches and methods to roll-out the system changes.

· Stay up to date with industry standards and technological advancements that will improve the quality of the data products.

Job Requirements

· A keen learner with a minimum Bachelor’s Degree in Computer Science or related fields.

· At least 2 to 3 years of end-to-end data warehouse, data lake and big data implementation experience.

· Proficient with at least one or more of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, AWS, Data Warehouse, ETL Framework.

· Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.

· Able to work under pressure when there is an escalated demand in the project cycle.

· Understand the solution requirements and progress to develop, build and operationalise the solutions.

· Enjoy problem solving in different domains and industries.

· Love working with a highly energetic and competent team.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Excellent communication; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

We are looking for data processors to process, verify and organize surveyed data for reporting purposes. Fresh graduates are welcome to apply as on the job training will be provided.

Job Scope

• To process, verify and organize surveyed data
  • To identify errors in data
  • To perform data analysis
  • To prepare survey drawings using AutoCAD software
  • To generate reports for submission to Authorities
  • Other related duties as assigned

Requirements

• Fresh Diploma or Degree Graduates
• A good team player
• Proficient in Microsoft Excel
• Good Results and Strong Interest in Mathematics
• Meticulous / Pay attention to details
• Desk-bound job
• Fast learner
• Start immediate or within short notice

Work Location

Singapore

Ubi – Near Tai Seng MRT (Circle Line)

Working Hours

8.30am to 5.45pm (Monday to Friday)

Remarks

• Pleasant and Dynamic Work Environment
• Annual & Medical Leave Benefit
• Insurance Coverage including Personal Accident, Hospital & Surgical
• Good Career Progression
• Competitive Salary Package
• Annual Increment and Bonuses

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Job Description

Key Responsibilities:

1. Construction of data warehouses, development and maintenance of data services for Xiaomi's overseas Internet business.
2. Design a reasonable multidimensional data analysis system architecture for massive data processing and query needs, adaptable to changes in business, to meet a variety of requirements.
3. Clean and process massive logs, and abstract reusable data models for multiple businesses.

Job Requirements

1. Bachelor’s degree or above in a computer-related field.
2. Familiar with common relational and non-relational databases, distributed storage, and capable of selecting appropriate storage components based on requirements.
3. Knowledge of big data processing frameworks such as Spark and Flink, and preference for those who understand the concept of streaming processing.
4. Possess good problem analysis and solving skills, strong learning ability, and logical thinking.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Analyst

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.

Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful elivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd 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 Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’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.

As a Data Scientist in Group Engineering, you'll have the opportunity to drive business growth and innovation through data-driven insights and solutions. You'll work closely with senior stakeholders to identify and prioritize business problems, develop and deploy AI and machine learning models, and drive adoption across the organization. With OCBC's commitment to digital transformation, you'll be at the forefront of shaping the bank's data science capabilities and contributing to the development of a future-ready organization.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen and strategic thinking. You'll work closely with cross-functional teams to understand business needs, identify opportunities for data-driven innovation, and develop solutions that drive tangible business outcomes. You'll need to be able to communicate complex technical concepts to non-technical stakeholders, influence business decisions, and drive adoption of data science solutions across the organization.

What you do

• Develop and deploy AI and machine learning models to drive business growth and innovation
• Collaborate with senior stakeholders to identify and prioritize business problems and develop data-driven solutions
• Lead cross-functional teams to design and implement data science solutions that drive tangible business outcomes
• Develop and maintain large-scale data pipelines and architectures to support data science solutions
• Communicate complex technical concepts to non-technical stakeholders and influence business decisions
• Drive adoption of data science solutions across the organization and measure impact on business outcomes

Who you work with

Group Engineering is a strategic partner to teams across the bank, co-creating products and solutions that drive business growth and innovation. As a Data Scientist in Group Engineering, you'll work closely with senior stakeholders across the organization, including business leaders, product managers, and technology teams.

Who you are

• A seasoned data scientist with 8+ years of experience in developing and deploying AI and machine learning models
• A strong technical background in computer science, statistics, or a related field
• Experience leading cross-functional teams and influencing business decisions
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment and drive multiple projects simultaneously
• Strong business acumen and strategic thinking

DATA ENGINEER

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization systems.
• Perform data extraction, cleaning, transformation, and flow, including web scraping.
• Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and collate data silos in a scalable and compliant manner.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
• Develop backend APIs and work on databases to support applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Participate in pair programming and code review processes with fellow developers.

Experience and Skills Needed:

• Proficient in general data cleaning and transformation (e.g., SQL, pandas, R, etc.).
• Experienced in building ETL pipelines (e.g., SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g., SQL, PostgreSQL, AWS S3, Athena, MongoDB, Postgres/GIS, MySQL, SQLite, VoltDB, Cassandra, etc.).
• Experience with cloud technologies (e.g., AWS, Azure, Google Cloud Platform).
• Passionate about data engineering in a big data environment using cloud platforms.
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge in system design, data structures, and algorithms.
• Familiar with data modeling, data access, and data storage infrastructure (Data Mart, Data Lake, Data Virtualization, Data Warehouse).
• Understanding of REST APIs and web requests/protocols in general.
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
• Comfortable with W3C Document Object Model and customized web scraping (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js, etc.).
• Comfortable in at least one scripting language (e.g., SQL, Python).
• Experience in both Windows and Linux development environments.
• Interest in being the bridge between engineering and analytics.

4o mini

Job Duties:

• 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.

Job Requirements:

Must have relevant experience in:

- Business Requirement Analysis

- Business Process and System Understanding

- Effective Communication with both business and technical users

- Conversant in Microsoft Office products

Should have hands-on experience as Azure Data Engineer using:

- Azure Data Factory

- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

Should have hands-on experience in

- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

- Providing technical support (80%) & enhancements (20%) for existing applications in Azure

Good to have following skills

- Knowledge of Azure Databricks

- Data modelling in Azure Analysis Services using star and snowflake schema

- Python Coding Experience

- Knowledge of writing DAX query to create measures & dimensions.

Job Description & Requirements:

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.

• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.

• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.

• Implement data quality checks, data validation, and ensure accuracy in processed data.

• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.

• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.

• Programming Languages: Python, Scala

• ETL Tools: Informatica, SAS

• Database Management: Oracle, MySQL, MS SQL Server, MongoDB

• Scripting: SQL, PL/SQL

• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook

• Version Control and Build Tools: Maven, SBT, Git

• Methodologies: Agile, Scrum

• Operating Systems: Windows, Unix, Linux

• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Storage, BLOB Storage

Job Summary:

We are seeking a talented and motivated Data Engineer to join our Software Engineering team. In this role, you will play a key part in designing, developing, and maintaining ETL processes using the Talend ETL toolset. You will work closely with team members to extract, transform, and load data from diverse sources, ensuring data integrity and quality. This position offers the opportunity to work on cutting-edge technologies like Hadoop, Spark, and Python, while contributing to impactful projects.

Key Responsibilities:

· Design, develop, and maintain ETL jobs using the Talend ETL toolset.

· Create ETL pipelines to extract, transform, and load data from multiple sources, including Cloudera, PostgreSQL, and SQL Server databases.

· Develop and optimize database tables and apply constraints to meet business requirements.

· Collaborate with team members to analyse source system structures and data retrieval methods.

· Support the development of data transformation logic using SQL, Python, and other scripting languages.

· Clean, validate, and transform data to meet schema and quality standards.

· Work with the team to implement data quality improvement plans.

· Troubleshoot data integrity and process issues to ensure efficiency and accuracy.

Technical Skills & Experience Required:

· Hands-on experience with Talend ETL tools (e.g., Talend Studio).

· Strong programming skills in Python and experience with Apache Spark.

· Proficiency with Hadoop ecosystem tools, including Hive, Impala, and HDFS.

· Solid understanding of data warehousing and data modelling techniques.

· Familiarity with relational databases such as PostgreSQL, SQL Server, and distributed systems like Cloudera.

· Experience with data visualization and analytics tools (e.g., Tableau, Power BI, etc.).

Qualifications:

· Bachelor’s degree in computer science, Mathematics, Engineering, or a related field.

· Strong interpersonal skills with a collaborative mindset.

· Excellent communication skills to interact with team members and projects effectively.

· A positive attitude and a proven ability to work within a team-oriented environment.

Soft Skills:

· Team player with strong problem-solving skills.

· Willingness to learn and adapt to evolving technologies.

· Ability to work under minimal supervision and meet project deadlines.

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

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Experience working with defined contributions data, pension modeling and asset/interest rate analysis.
• Experience working with time series data sets and analysis.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Strong econometrics skills.
• Experience in analyzing job posting, skills data, compensation data, etc.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

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

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 & Requirements

Design, code, test, implement, maintain, and support application.

Managing master data, including creation, updates, and deletion.

Provide quality assurance of imported data, working with quality assurance analysts if necessary.

Commissioning and decommissioning of data sets.

Designing, developing, and maintaining Tableau dashboards and reports that clearly visualize key business metrics.

Processing confidential data and information according to guidelines.

Ability to analyze existing tools and databases and provide software solution recommendations.

Ability to translate business requirements into nontechnical, lay terms

Estimate effort and write technical specifications that accurately reflect the design requirements and standards.

Create functional code from design specifications for new development, enhancements, or maintenance projects.

Database constructs and create database design specifications associated with new development or enhancements.

Provide customer support and conduct customer training as required.

Skills and Experience:

4+ years of experience in software development.

Strong hand-on, consultant experience with Haver Analytics and Tableau softwares.

Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.

Generating reports from single or multiple systems.

Visualization design and deployment: Tableau Data Analyst will also drive the development of dashboards, their automation and deployment, to be used by key stakeholders.

Outstanding verbal and written communication skills.

Strong troubleshooting skills and attention to detail.

*We welcome junior level candidates also to apply!

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.

• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.

• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.

• Implement data quality checks, data validation, and ensure accuracy in processed data.

• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.

• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.

• Programming Languages: Python, Scala

• ETL Tools: Informatica, SAS

• Database Management: Oracle, MySQL, MS SQL Server, MongoDB

• Scripting: SQL, PL/SQL

• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook

• Version Control and Build Tools: Maven, SBT, Git

• Methodologies: Agile, Scrum

• Operating Systems: Windows, Unix, Linux

• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Storage, BLOB Storage

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

The Role

The Data Scientist will implement cohesive data integration and analytics solutions involving both structured and unstructured data. Projects will include development of predictive, forecasting or operation research (optimisation) models as well as text mining and network analytics solutions.

Job Responsibilities

· Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives within our Data and Analytics practice.

· Develop and manage the end-to-end lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring).

· Attend and assist in facilitating project meetings / workshops with client working team members.

· Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs.

· Participate in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.

· Produce high quality deliverables/document, with-ready-to-use content.

· Drive a module or task within a project on their own with minimal supervision.

· Prepare user requirements and any data development work including documentation.

· Proactively perform research on the business, industry and functional domain of the client to stay up to date.

· Assist in developing project deliverables and assets such as templates, processes, reports, and presentation decks for the client based on the work assigned.

Job Requirements

· Bachelor’s degree in computer science, Mathematics, Statistics, Business Analytics or equivalent.

· Data Scientist – at least 2 years’ experience in data analytics fields/ML.

· Experience in data processing, feature selection, hyper-parameter optimization, model validation and visualization.

· Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost.

· Able to develop SQL queries and working with data models.

· Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD.

· Familiar with object-oriented programming concepts and their application to data science pipelines.

· Deep and eager interest in emerging technologies and the ability to leverage the technologies into solutions to meet our strategic and operational client needs.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Detailed oriented and is able to work in fast paced and agile environment.

· Excellent communication skills; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

• Newly created role
• International setting & hybrid role
• Trading or commodities industry experience

about the company
My client is seeking a talented Data Engineer to join our team. This hybrid role combines the responsibilities of a data engineer and a data analyst, offering a dynamic environment to develop and implement cutting-edge data solutions. This is a front-facing role requiring collaboration with business stakeholders to deliver impactful data-driven insights.

about the job

• Develop and maintain data pipelines, ETL/ELT processes, and advanced analytics tools.
• Design and optimize relational database models and queries.
• Create interactive dashboards and reports using tools like PowerBI or Tableau.
• Ensure data quality through validation, cleaning, and management processes.
• Expand public market data collection and maintain data freshness.
• Collaborate with business users to gather feedback and iterate on data solutions.
• Contribute to master and referential data management practices.
• Follow software development best practices, including source control and testing.
• Perform other ad-hoc duties as assigned by the manager.

skills and experience required
Minimum 2 years of experience working with large datasets. Proficient in scripting languages such as Python or R, with knowledge of data processing libraries.

Hands-on experience with RDBMS design, querying, and ETL/ELT workflows.

Familiarity with reporting tools like PowerBI, Tableau, or similar. Strong understanding of software development lifecycle and DevOps principles.

The ideal candidate has a background in trading or commodities and at least 2 years of relevant experience.

whats's offer
The permanent role for a Data Engineer will pay a salary range of $ 5,500 to $ 6,500 plus perks from the company.

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