563 Iot Engineer jobs in Singapore

1. IoT System Deployment & Configuration:
Deploy, configure, and maintain IoT sensors and gateways
Set up and optimize wireless networks (Wi-Fi, Bluetooth, Zigbee) for IoT device connectivity
Integrate IoT devices with central management platforms and cloud services
2.
Dashboard & Monitoring:
Design and configure real-time dashboards for data visualization, alerting, and system health monitoring
Automate data collection and reporting from IoT devices
3.
Networking & Security:
Implement basic network configurations: VLANs, firewalls, VPNs, and IP scheming for segregated IoT environments
Ensure security hardening of IoT devices, gateways, and networks to prevent vulnerabilities
Troubleshoot connectivity issues across LAN/WAN and wireless infrastructures
4.
Systems Integration:
Support integration of IoT systems with existing IT infrastructure (e.g., Windows/Linux servers, databases)
Collaborate with software teams for API-based device management and data pipeline setup
5.
Documentation & Compliance:
Maintain detailed records of configurations, network topologies, and operational procedures
Ensure compliance with data privacy regulations (e.g., PDPA, GDPR) for IoT deployments
Requirement:
Degree/Diploma in Computer Engineering, Electrical Engineering, IT, or related field
2+ years in IoT system deployment (sensors) or 3+ years in IT/networking roles with IoT exposure
Hands-on experience with wireless technologies (Wi-Fi 6/6E, LoRaWAN, cellular IoT) and IoT protocols (MQTT, CoAP)
Basic systems administration (Windows/Linux CLI) and networking skills (TCP/IP, routing, VLANs)
Familiarity with IoT platforms (e.g., AWS IoT, Azure IoT, Siemens/Bosch suites) and dashboard tools (e.g., Grafana, Node-RED)
CCNA/CompTIA Network+, CWNP (Wireless), or vendor certifications (e.g., Axis CCTV, Hikvision, Siemens) is highly advantageous
Cloud certifications (AWS/Azure IoT Specialty) or Linux/Windows fundamentals is preferred
A self-starter who is able to work under minimal supervision
Possess good communication and interpersonal skills
Good project management skills and able to multi-task
#J-18808-Ljbffr

Role Overview
As an IoT Engineer, you will design, develop, and implement innovative IoT solutions that integrate seamlessly with our existing systems. This role requires a deep understanding of both hardware and software components, as well as the ability to collaborate effectively with cross-functional teams to deliver scalable and maintainable IoT applications.
Key Responsibilities
·
Technical Solution Development
- Analyze business logic requirements to develop technical solutions that meet customer needs.
·
Product Design
- Apply knowledge of software, hardware, and emerging technologies in product design.
·
Technology Integration
- Collaborate with technology partners to incorporate new technologies into existing systems.
·
Cross-Functional Collaboration
- Work with backend, frontend, and DevOps teams to design integrated solutions.
·
Hardware Debugging
- Participate in hardware bring-up and troubleshoot hardware/firmware-related issues.
·
Microservices Development
- Design and implement scalable microservices for cloud or on-premises deployment.
·
Circuit Design
- Create and review circuit schematics for embedded systems, ensuring alignment with firmware/middleware requirements.
·
Quality Assurance
- Develop and execute test plans to ensure firmware/middleware quality and robustness.
·
Performance Optimization
- Optimize firmware/middleware for performance and scalability in Windows/Linux environments.
·
Documentation
- Document and maintain system manuals and technical write-ups as part of project deliverables.
Required Skills & Qualifications
Technical Skills
·
Firmware Development
- Experience in developing firmware/embedded systems and .NET Core services.
·
Programming Languages
- Proficiency in C-based programming, C#, Python, Java, or similar languages.
·
Version Control
- Strong understanding of Git workflows in version control and CI/CD pipelines.
·
Hardware Design
- Basic knowledge of hardware design and circuit principles, including common microcontroller architectures and hardware schematics.
·
Communication Protocols
- Familiarity with low-level drivers for peripherals (UART, I2C, SPI, GPIO) and IoT communication protocols (MQTT, Zigbee, WebSocket, Bluetooth BLE, RESTful APIs, LoRa).
·
Additional Technologies
- Knowledge of Node.js, TypeScript, and database management systems (SQL Server, PostgreSQL, SQLite, MongoDB) is advantageous.
·
Simulation Tools
- Experience with circuit design and simulation tools for pre-design validation is a plus.
·
Containerization
- Experience with containerization technologies like Docker is beneficial.
Soft Skills
Problem-Solving
- Strong analytical and troubleshooting abilities.
Communication
- Effective verbal and written communication skills for collaboration with team members and stakeholders.
Adaptability
- Ability to learn new technologies and adapt to changing project requirements.
Team Collaboration
- Experience working in agile development environments and collaborating within cross-functional teams.
Experience & Education
· Bachelor’s degree in Computer Engineering, Electrical/Electronic Engineering, or a related field.
· Relevant experience in IoT engineering or related fields.
Benefits
· Annual Leave
· Performance Bonus
· Medical Claims
· Hospitalization Leave
· Company-Covered Transportation to Job Sites
About Intrasys
At Intrasys, we deliver cutting-edge, custom RFID and IoT solutions that empower businesses with advanced automation and real-time tracking—driving operational excellence across Singapore, the Asia-Pacific, and beyond.
Our customized solutions provide maximum visibility, enabling precise asset tracking, seamless process automation, and data-driven insights.
Our Mission
We build the most integrated and comprehensive tools to achieve maximum visibility with intelligence.
Our Vision
The best companies journey with Intrasys to attain operational excellence, drive automation and discover actionable insights.
From supply chain & logistics to healthcare, government, retail and smart infrastructure, Intrasys empowers organizations with custom RFID and IoT-driven automation that enhances efficiency and control.
#J-18808-Ljbffr

1. IoT System Deployment & Configuration:

• Deploy, configure, and maintain IoT sensors and gateways
• Set up and optimize wireless networks (Wi-Fi, Bluetooth, Zigbee) for IoT device connectivity
• Integrate IoT devices with central management platforms and cloud services

2. Dashboard & Monitoring:

• Design and configure real-time dashboards for data visualization, alerting, and system health monitoring
• Automate data collection and reporting from IoT devices

3. Networking & Security:

• Implement basic network configurations: VLANs, firewalls, VPNs, and IP scheming for segregated IoT environments
• Ensure security hardening of IoT devices, gateways, and networks to prevent vulnerabilities
• Troubleshoot connectivity issues across LAN/WAN and wireless infrastructures

4. Systems Integration:

• Support integration of IoT systems with existing IT infrastructure (e.g., Windows/Linux servers, databases)
• Collaborate with software teams for API-based device management and data pipeline setup

5. Documentation & Compliance:

• Maintain detailed records of configurations, network topologies, and operational procedures
• Ensure compliance with data privacy regulations (e.g., PDPA, GDPR) for IoT deployments

Requirement:

• Degree/Diploma in Computer Engineering, Electrical Engineering, IT, or related field
• 2+ years in IoT system deployment (sensors) or 3+ years in IT/networking roles with IoT exposure
• Hands-on experience with wireless technologies (Wi-Fi 6/6E, LoRaWAN, cellular IoT) and IoT protocols (MQTT, CoAP)
• Basic systems administration (Windows/Linux CLI) and networking skills (TCP/IP, routing, VLANs)
• Familiarity with IoT platforms (e.g., AWS IoT, Azure IoT, Siemens/Bosch suites) and dashboard tools (e.g., Grafana, Node-RED)
• CCNA/CompTIA Network+, CWNP (Wireless), or vendor certifications (e.g., Axis CCTV, Hikvision, Siemens) is highly advantageous
• Cloud certifications (AWS/Azure IoT Specialty) or Linux/Windows fundamentals is preferred
• A self-starter who is able to work under minimal supervision
• Possess good communication and interpersonal skills
• Good project management skills and able to multi-task

Join to apply for the IoT Data Engineer role at Canonical

2 days ago Be among the first 25 applicants

Join to apply for the IoT Data Engineer role at Canonical

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
• Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
• Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
• Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
• Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale.
• Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
• Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
• Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
  
  

• You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
• You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance.
• You bring proven expertise in designing and optimizing systems using:
• IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
• Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
• Designing high-throughput, low-latency systems for IoT data processing.
• Data streaming technologies (MQTT, Kafka, RabbitMQ)
• Observability tools (OpenTelemetry)
• Industrial/engineering data exchange protocols (OPC-UA, ModBus)
• You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
• You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
• You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
• You are familiar with Ubuntu as a development and deployment platform.
• You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
• Willingness to travel up to 4 times a year for internal events.
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

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 IoT Data Engineer role at Canonical

2 days ago Be among the first 25 applicants

Join to apply for the IoT Data Engineer role at Canonical

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.
Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.
We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.
Location: This role will be based remotely in the EMEA region.
What your day will look like

• Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
• Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
• Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
• Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
• Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale.
• Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
• Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
• Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
  

• You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
• You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance.
• You bring proven expertise in designing and optimizing systems using:
• IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
• Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
• Designing high-throughput, low-latency systems for IoT data processing.
• Data streaming technologies (MQTT, Kafka, RabbitMQ)
• Observability tools (OpenTelemetry)
• Industrial/engineering data exchange protocols (OPC-UA, ModBus)
• You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
• You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
• You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
• You are familiar with Ubuntu as a development and deployment platform.
• You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
• Willingness to travel up to 4 times a year for internal events.
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Canonical by 2x

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This is a specialist role for professionals who possess deep expertise in both advanced data analytics and large-scale data engineering within financial markets. The ideal candidate will bridge the gap between business strategy and technical implementation, delivering actionable insights and robust data infrastructure solutions that directly support investment decision-making.

1. Data Research & Analysis

o Conduct in-depth data research and analysis for Private Market Data, Public Market Data, and Financial Data to derive insights that support investment strategies.

o Work closely with investment teams to identify the right data sources and optimize workflows.

o Onboard Financial and Corporate data through the virtualization layer to enable user access for reporting purposes.

2. Data Strategy & Management

o Drive data strategy initiatives, ensuring seamless integration of private and public market data into investment processes.

o Implement and maintain data management frameworks, ensuring high-quality and well-structured data assets.

o Define and optimize data management processes, improving efficiency and reducing operational risks.

o Monitor data governance practices to maintain data integrity, security, and compliance.

3. Technical Implementation & Automation

o Develop and maintain SQL-based queries for data extraction, transformation, and analysis.

o Leverage Python for data processing, automation, and analytics.

o Utilize Denodo for data virtualization and enhancing accessibility to diverse data sources.

o Automate repetitive data tasks using Power Automate to improve efficiency and scalability.

o Manage and optimize DBeaver, Denodo, Toad, and MySQL for database queries and analysis.

o Design, develop, and manage scalable data pipelines using Azure Data Services (preferred) or Snowflake, integrating data from APIs, Web Scraping, SFTP, SharePoint, etc.

o Implement CI/CD pipelines, unit testing, and performance tuning to ensure high-quality data engineering solutions.

4. Business Intelligence & Visualization

o Design and develop interactive dashboards and reports using Power BI or Tableau, providing real-time insights to data teams and senior management.

o Optimize Excel workflows using macros and advanced formulas to support data-driven analysis.

o Partner with business partner to integrate AI-driven analytics leveraging Azure AI Services.

5. Agile & Cross-Functional Collaboration

o Work in an Agile environment (Scrum, Kanban) to manage data projects efficiently.

o Collaborate with research analysts, quantitative teams, and technology teams to enhance data capabilities.

o Drive end-to-end SDLC implementation for data solutions, ensuring best practices and performance optimization.

o Bridge technical engineering teams and business stakeholders, translating data engineering outputs into actionable insights.

· 8–10 years of combined experience in data analytics and data engineering, preferably in financial market data environments.

· Proven expertise in Azure Data Services (preferred), SQL, Python, Denodo, and data orchestration tools (Airflow, Control-M).

· Experience in building, optimizing, and automating large-scale data pipelines and data warehouses.

· Strong background in data research, data modeling, visualization, and governance within investment or financial services contexts.

· Exposure to private and public market data processes is highly desirable.

· Preferred certifications:

o Microsoft Certified: Fabric Data Engineer Associate

o Microsoft Certified: Azure AI Fundamentals

o Microsoft Certified: Power BI Data Analyst Associate

Preferred financial knowledge: CFA Level 1 (or equivalent understanding of investment concepts) is an added advantage.

Excellent communication and stakeholder management skills with a strong problem-solving mindset.

Please refer to U3's Privacy Notice for Job Applicants/Seekers at When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.

Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

• Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
• Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
• Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
• Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
• Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

• Unit 2: Statistics and mathematics for data analysts
• Unit 3: Data analysis and interpretation with Excel and Power BI
• Unit 4: Data acquisition and cleaning with SQL
• Unit 5: Data analysis and communication with Tableau
• Unit 6: Data analysis with Python
• Unit 7: Data in the organization
• Unit 8: Capstone projects

Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.

• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
• You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
• You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
• You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
• You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
• You have experience mentoring, coaching, or training others in a professional or educational setting.
• Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
• This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.

• Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
• Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
• Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
• Facilitate a dynamic, collaborative, and positive classroom community.
• Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.

Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

• Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
• Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
• Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
• Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
• Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

• Unit 1: Responsible data analytics
• Unit 2: Statistics and mathematics for data analysts
• Unit 3: Data analysis and interpretation with Excel and Power BI
• Unit 4: Data acquisition and cleaning with SQL
• Unit 5: Data analysis and communication with Tableau
• Unit 6: Data analysis with Python
• Unit 7: Data in the organization
• Unit 8: Capstone projects
• Unit 9: Career planning

Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.

• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
• You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
• You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
• You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
• You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
• You have experience mentoring, coaching, or training others in a professional or educational setting.
• Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
• This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.

• Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
• Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
• Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
• Facilitate a dynamic, collaborative, and positive classroom community.
• Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Posting date: 01-22-2025