210 Analytics Engineer jobs in Singapore

Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)

Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)

Get AI-powered advice on this job and more exclusive features.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit The Job

We are seeking a versatile and motivated individual to join our team as a Data Analytics Engineer (Entry Level). In this role, you will build and maintain scalable data pipelines, develop and deploy machine learning (ML) models, and support the university’s data-driven initiatives using tools such as Microsoft Fabric, Azure Machine Learning, and Power BI. In addition to data and ML development, you will also serve as an administrator of Microsoft Fabric, the university’s cloud analytics platform—ensuring efficient operations, governance, and user support. This position is ideal for individuals who enjoy working across the full data and ML lifecycle—from wrangling raw datasets to training models and supporting strategic decisions through analytics. You will be part of a collaborative, in-house data team addressing meaningful challenges in education and operations.

What You Will Be Doing

Key Responsibilities:

Data Engineering & Machine Learning Development

• Design, build, and maintain scalable data pipelines using Microsoft Fabric components (e.g., Data Pipelines, Dataflows) and PySpark.
• Ingest, clean, and transform data from diverse sources such as APIs, flat files, and databases.
• Operate within the Lakehouse architecture to ensure reliable, well-governed data delivery.
• Design, train, and evaluate models for classification, prediction, and segmentation use cases.
• Perform feature engineering, model tuning, and validation.
• Deploy models in collaboration with analytics specialists and contribute to building reusable ML feature stores.
• Ensure data quality, documentation, and lineage are maintained across workflows.
  
  

• Act as the primary administrator for Microsoft Fabric, overseeing workspace, capacity, and permission management.
• Monitor usage, performance, and cost metrics; troubleshoot and optimise resource allocation.
• Support onboarding of university teams to Microsoft Fabric and maintain security and compliance standards.
• Manage workspace hygiene, archival, and governance enforcement across all Fabric artefacts.
• Collaborate with the data warehouse team, analytics specialists, AI engineers, and domain users to deliver structured datasets and model outputs.
• Assist in building and refining Power BI datasets and dashboards for decision-making support.
  
  

• Possess a degree in Data Science, Business Analytics or related.
• Proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and PySpark.
• Strong interest or hands-on experience in end-to-end ML development (from data prep to deployment).
• Familiarity with Microsoft Fabric components (e.g., Lakehouse, Data Pipelines, Dataflows).
• Exposure to Power BI or equivalent BI/visualisation tools.
• Microsoft Fabric certification (or willingness to obtain one).
• Exposure to Azure Machine Learning or similar ML model lifecycle platforms.
• Practical experience (via internships, coursework, or projects) in data engineering or ML model development.
• Understanding of higher education data or student analytics scenarios.
• Curious and self-driven with a growth mindset.
• Able to clearly explain technical concepts to both technical and non-technical audiences.
• Strong attention to detail and a methodical, structured approach to solving problems.
  
  

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Higher Education

Referrals increase your chances of interviewing at Singapore University of Social Sciences (SUSS) by 2x

South East Community Development Council, Singapore 4 days ago

South East Community Development Council, Singapore 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Data Analytics Engineer role at Internal Security Department

What The Role Is

ISD confronts and addresses threats to Singapore’s internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure, and sovereign for all Singaporeans.

We utilise state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.

Besides being passionate about data, analytics, and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse, and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.

What You Will Be Working On

1. Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
2. Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
3. Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
4. Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
5. Recommend and evaluate technologies to introduce new analytics capabilities

What We Are Looking For

1. Applicants with no experience may apply
2. Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
3. Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
4. Competent in at least one programming language (e.g., Python, Java, JavaScript, C/C++, C#, SAS, R, Scala). Interest and ability to gain expertise in other programming languages, frameworks, and technologies.
5. Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
6. Knowledge and experience with any of the following would be an advantage:

• Machine learning (e.g., predictive analytics, natural language processing)
• Data analytics (e.g., descriptive statistics, modeling)
• Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
• Web development (e.g., HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
• Data visualisation (e.g., UX/UI design, PowerBI, D3, Tableau)
• System administration (e.g., OS, networking, databases)
• Container technologies (e.g., Docker, Kubernetes)

We wish to inform you that only shortlisted candidates will be notified.

• Entry level

• Full-time

• Information Technology

• Government Administration and Industrial Machinery Manufacturing

Referrals increase your chances of interviewing at Internal Security Department by 2x

Get notified about new Data Engineer jobs in Singapore, Singapore .

Job Summary:

We are seeking a skilled and dedicated Cyber Security Engineer specializing in Analytics to join our professional services team.

As a Cyber Security Engineer (Analytics), you will play a critical role in protecting our clients' Infrastructure and ensuring the security of their sensitive data.

You will be responsible for implementing and managing Security Information and event management solutions and their extended suite of capabilities inclusive of User Entity Behavior Analytics solutions; conducting threat assessments as well as providing expertise in mitigating security threats.

Responsibilities:

• Deploy and maintain SIEM/UEBA solutions to safeguard clients' endpoints from Cyber threats.
• Implement monitoring rules/analytic rules, automated workflows, standards and procedures to ensure compliance with industry regulations and best practices.
• Configure and manage SIEM/UEBA security technologies, such as Trellix ESM and its tools.
• Collaborate with cross-functional teams to ensure secure monitoring configurations and deployment of new features and applications.
• Stay updated with the latest cyber security threats, vulnerabilities and industry trends and proactively recommend and implement appropriate countermeasures.
• Provide technical guidance and support to the incident response team during detected security incidents and investigations.
• Document SIEM/UEBA security configurations, processes and procedures.

Qualifications:

• Bachelor's degree/Diploma in Computer Science, Information Security or a related field.
• Professional certifications for Linux server administration.
• Familiarity with managing/implementing SIEM/UEBA security management platforms and tools at enterprise level.
• Understanding of operating systems and their security features.
• Familiarity with security standards and frameworks (NIST, CIS) and their application for SIEM/UEBA security.
• Excellent analytical and problem-solving skills to identify and resolve system security issues.
• Strong communication and collaboration skills to work effectively with clients, cross-functional teams and stakeholders.
• Able to work in a fast-paced environment and manage multiple priorities effectively.

Job Summary:

We are seeking a skilled and dedicated Cyber Security Engineer specializing in Analytics to join our professional services team.

As a Cyber Security Engineer (Analytics), you will play a critical role in protecting our clients' Infrastructure and ensuring the security of their sensitive data.

You will be responsible for implementing and managing Security Information and event management solutions and their extended suite of capabilities inclusive of User Entity Behavior Analytics solutions; conducting threat assessments as well as providing expertise in mitigating security threats.

Responsibilities:

• Deploy and maintain SIEM/UEBA solutions to safeguard clients' endpoints from Cyber threats.
• Implement monitoring rules/analytic rules, automated workflows, standards and procedures to ensure compliance with industry regulations and best practices.
• Configure and manage SIEM/UEBA security technologies, such as Trellix ESM and its tools.
• Collaborate with cross-functional teams to ensure secure monitoring configurations and deployment of new features and applications.
• Stay updated with the latest cyber security threats, vulnerabilities and industry trends and proactively recommend and implement appropriate countermeasures.
• Provide technical guidance and support to the incident response team during detected security incidents and investigations.
• Document SIEM/UEBA security configurations, processes and procedures.

Qualifications:

• Bachelor's degree/Diploma in Computer Science, Information Security or a related field.
• Professional certifications for Linux server administration.
• Familiarity with managing/implementing SIEM/UEBA security management platforms and tools at enterprise level.
• Understanding of operating systems and their security features.
• Familiarity with security standards and frameworks (NIST, CIS) and their application for SIEM/UEBA security.
• Excellent analytical and problem-solving skills to identify and resolve system security issues.
• Strong communication and collaboration skills to work effectively with clients, cross-functional teams and stakeholders.
• Able to work in a fast-paced environment and manage multiple priorities effectively.

Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)

Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)

Get AI-powered advice on this job and more exclusive features.

Who We Are
As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

Who We Are
As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.
We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.
Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.
For more information on Singapore University of Social Sciences, please visit The Job
We are seeking a versatile and motivated individual to join our team as a Data Analytics Engineer (Entry Level). In this role, you will build and maintain scalable data pipelines, develop and deploy machine learning (ML) models, and support the university’s data-driven initiatives using tools such as Microsoft Fabric, Azure Machine Learning, and Power BI. In addition to data and ML development, you will also serve as an administrator of Microsoft Fabric, the university’s cloud analytics platform—ensuring efficient operations, governance, and user support. This position is ideal for individuals who enjoy working across the full data and ML lifecycle—from wrangling raw datasets to training models and supporting strategic decisions through analytics. You will be part of a collaborative, in-house data team addressing meaningful challenges in education and operations.
What You Will Be Doing
Key Responsibilities:
Data Engineering & Machine Learning Development

• Design, build, and maintain scalable data pipelines using Microsoft Fabric components (e.g., Data Pipelines, Dataflows) and PySpark.
• Ingest, clean, and transform data from diverse sources such as APIs, flat files, and databases.
• Operate within the Lakehouse architecture to ensure reliable, well-governed data delivery.
• Design, train, and evaluate models for classification, prediction, and segmentation use cases.
• Perform feature engineering, model tuning, and validation.
• Deploy models in collaboration with analytics specialists and contribute to building reusable ML feature stores.
• Ensure data quality, documentation, and lineage are maintained across workflows.
  

• Act as the primary administrator for Microsoft Fabric, overseeing workspace, capacity, and permission management.
• Monitor usage, performance, and cost metrics; troubleshoot and optimise resource allocation.
• Support onboarding of university teams to Microsoft Fabric and maintain security and compliance standards.
• Manage workspace hygiene, archival, and governance enforcement across all Fabric artefacts.
• Collaborate with the data warehouse team, analytics specialists, AI engineers, and domain users to deliver structured datasets and model outputs.
• Assist in building and refining Power BI datasets and dashboards for decision-making support.
  

• Possess a degree in Data Science, Business Analytics or related.
• Proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and PySpark.
• Strong interest or hands-on experience in end-to-end ML development (from data prep to deployment).
• Familiarity with Microsoft Fabric components (e.g., Lakehouse, Data Pipelines, Dataflows).
• Exposure to Power BI or equivalent BI/visualisation tools.
• Microsoft Fabric certification (or willingness to obtain one).
• Exposure to Azure Machine Learning or similar ML model lifecycle platforms.
• Practical experience (via internships, coursework, or projects) in data engineering or ML model development.
• Understanding of higher education data or student analytics scenarios.
• Curious and self-driven with a growth mindset.
• Able to clearly explain technical concepts to both technical and non-technical audiences.
• Strong attention to detail and a methodical, structured approach to solving problems.
  

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Higher Education

Referrals increase your chances of interviewing at Singapore University of Social Sciences (SUSS) by 2x

Sign in to set job alerts for “Data Engineer” roles.

Junior Data Analyst - Business Intelligence, Regional Operations

Internship, Technology (ML/Data Engineer) May/June - December 2025

South East Community Development Council, Singapore 4 days ago

Information Technology - Data & Analytics Engineer

Internship, Technology (Data Engineer) May/June to December 2025

South East Community Development Council, Singapore 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Job Summary:

We are seeking a skilled and dedicated Cyber Security Engineer specializing in Analytics to join our professional services team.

As a Cyber Security Engineer (Analytics), you will play a critical role in protecting our clients' Infrastructure and ensuring the security of their sensitive data.

You will be responsible for implementing and managing Security Information and event management solutions and their extended suite of capabilities inclusive of User Entity Behavior Analytics solutions; conducting threat assessments as well as providing expertise in mitigating security threats.

Responsibilities:

• Deploy and maintain SIEM/UEBA solutions to safeguard clients' endpoints from Cyber threats.
• Implement monitoring rules/analytic rules, automated workflows, standards and procedures to ensure compliance with industry regulations and best practices.
• Configure and manage SIEM/UEBA security technologies, such as Trellix ESM and its tools.
• Collaborate with cross-functional teams to ensure secure monitoring configurations and deployment of new features and applications.
• Stay updated with the latest cyber security threats, vulnerabilities and industry trends and proactively recommend and implement appropriate countermeasures.
• Provide technical guidance and support to the incident response team during detected security incidents and investigations.
• Document SIEM/UEBA security configurations, processes and procedures.

Qualifications:

• Bachelor's degree/Diploma in Computer Science, Information Security or a related field.
• Professional certifications for Linux server administration.
• Familiarity with managing/implementing SIEM/UEBA security management platforms and tools at enterprise level.
• Understanding of operating systems and their security features.
• Familiarity with security standards and frameworks (NIST, CIS) and their application for SIEM/UEBA security.
• Excellent analytical and problem-solving skills to identify and resolve system security issues.
• Strong communication and collaboration skills to work effectively with clients, cross-functional teams and stakeholders.
• Able to work in a fast-paced environment and manage multiple priorities effectively.

Job Title: Senior Analytics Engineer

Location: Singapore (Hybrid/Remote options available)

Type: Full-time

Experience Level: 5+ years

Team: Data & Analytics

HeyMax is building Asia's most rewarding platform for travelers — an open-loop rewards ecosystem that turns everyday spending into travel perks. With 150,000+ users, we help people earn "Max Miles" that can be transferred to 27+ airline and hotel programs, or redeemed for gift cards. Backed by leading investors and driven by a small, high-caliber team, we're reimagining loyalty for the next generation of travelers.

We're hiring our first Senior Analytics Engineer — a software engineer who's passionate about building with data. This is a foundational role where you'll help architect our data platform from scratch, working across our backend systems and analytical layers to make data reliable, accessible, and actionable for the whole company.You'll work closely with leadership, engineering, and product to define the metrics and models that drive HeyMax forward. Expect full ownership, high impact, and the opportunity to leave your fingerprints on everything from infrastructure choices to business logic.

• Design and implement our modern data stack from the ground up — likely including BigQuery, dbt, Databricks, and Fivetran, with orchestration tools like Airflow or n8n
• Build well-tested, maintainable, and scalable data models to support self-serve analytics and operational use cases
• Partner with engineers to instrument meaningful product events and ship reliable pipelines
• Write clean, modular SQL and Python code, and apply software engineering best practices (version control, CI/CD, testing, code reviews)
• Help define metrics and core business logic across product, growth, ops, and finance
• Establish data governance, documentation, and access practices as we scale
• Make architectural calls that will influence the next billion rows of data

• 5+ years of experience in analytics engineering, data engineering, or software engineering roles focused on data
• Strong software fundamentals and comfort working across SQL, Python, and cloud data platforms
• Deep experience with dbt, BigQuery or Databricks, and data transformation at scale
• You treat analytics engineering like software engineering — clean abstractions, test coverage, and clear documentation matter
• Comfortable working in ambiguous environments and navigating across different codebases and teams
• Passionate about enabling teams through data and making complex systems intuitive to work with

• Founding scope – Architect our data stack and shape how data is used across the business
• High agency, real ownership – You'll have autonomy, influence, and a seat at the table
• Technical depth meets business impact – You'll solve tough infra and modeling problems that directly drive growth
• Great team – Work with ex-Grab, Google, Facebook, and Bain folks who care deeply about doing great work
• Flexible setup – We're open to remote and hybrid arrangements for the right person

Job Summary:
We are seeking a skilled and dedicated Cyber Security Engineer specializing in Analytics to join our professional services team.
As a Cyber Security Engineer (Analytics), you will play a critical role in protecting our clients' Infrastructure and ensuring the security of their sensitive data.
You will be responsible for implementing and managing Security Information and event management solutions and their extended suite of capabilities inclusive of User Entity Behavior Analytics solutions; conducting threat assessments as well as providing expertise in mitigating security threats.
Responsibilities:
Deploy and maintain SIEM/UEBA solutions to safeguard clients' endpoints from Cyber threats.
Implement monitoring rules/analytic rules, automated workflows, standards and procedures to ensure compliance with industry regulations and best practices.
Configure and manage SIEM/UEBA security technologies, such as Trellix ESM and its tools.
Collaborate with cross-functional teams to ensure secure monitoring configurations and deployment of new features and applications.
Stay updated with the latest cyber security threats, vulnerabilities and industry trends and proactively recommend and implement appropriate countermeasures.
Provide technical guidance and support to the incident response team during detected security incidents and investigations.
Document SIEM/UEBA security configurations, processes and procedures.
Qualifications:
Bachelor's degree/Diploma in Computer Science, Information Security or a related field.
Professional certifications for Linux server administration.
Familiarity with managing/implementing SIEM/UEBA security management platforms and tools at enterprise level.
Understanding of operating systems and their security features.
Familiarity with security standards and frameworks (NIST, CIS) and their application for SIEM/UEBA security.
Excellent analytical and problem-solving skills to identify and resolve system security issues.
Strong communication and collaboration skills to work effectively with clients, cross-functional teams and stakeholders.
Able to work in a fast-paced environment and manage multiple priorities effectively.
#J-18808-Ljbffr

Job Title: Senior Analytics Engineer

Location: Singapore (Hybrid/Remote options available)

Type: Full-time

Experience Level: 5+ years

Team: Data & Analytics

HeyMax is building Asia’s most rewarding platform for travelers — an open-loop rewards ecosystem that turns everyday spending into travel perks. With 150,000+ users, we help people earn “Max Miles” that can be transferred to 27+ airline and hotel programs, or redeemed for gift cards. Backed by leading investors and driven by a small, high-caliber team, we’re reimagining loyalty for the next generation of travelers.

We’re hiring our first Senior Analytics Engineer — a software engineer who’s passionate about building with data. This is a foundational role where you’ll help architect our data platform from scratch, working across our backend systems and analytical layers to make data reliable, accessible, and actionable for the whole company.You’ll work closely with leadership, engineering, and product to define the metrics and models that drive HeyMax forward. Expect full ownership, high impact, and the opportunity to leave your fingerprints on everything from infrastructure choices to business logic.

• Design and implement our modern data stack from the ground up — likely including BigQuery, dbt, Databricks, and Fivetran, with orchestration tools like Airflow or n8n
• Build well-tested, maintainable, and scalable data models to support self-serve analytics and operational use cases
• Partner with engineers to instrument meaningful product events and ship reliable pipelines
• Write clean, modular SQL and Python code, and apply software engineering best practices (version control, CI/CD, testing, code reviews)
• Help define metrics and core business logic across product, growth, ops, and finance
• Establish data governance, documentation, and access practices as we scale
• Make architectural calls that will influence the next billion rows of data

• 5+ years of experience in analytics engineering, data engineering, or software engineering roles focused on data
• Strong software fundamentals and comfort working across SQL, Python, and cloud data platforms
• Deep experience with dbt, BigQuery or Databricks, and data transformation at scale
• You treat analytics engineering like software engineering — clean abstractions, test coverage, and clear documentation matter
• Comfortable working in ambiguous environments and navigating across different codebases and teams
• Passionate about enabling teams through data and making complex systems intuitive to work with

• Founding scope – Architect our data stack and shape how data is used across the business
• High agency, real ownership – You’ll have autonomy, influence, and a seat at the table
• Technical depth meets business impact – You’ll solve tough infra and modeling problems that directly drive growth
• Great team – Work with ex-Grab, Google, Facebook, and Bain folks who care deeply about doing great work
• Flexible setup – We’re open to remote and hybrid arrangements for the right person

Interested?
Reach out with your resume, GitHub, or anything that shows your work: