Total 2,750 environmental engineer job vacancies

Job Description:

• Develop, maintain, and update project schedules, including baseline programme & Micro schedule establishment, progress tracking, and schedule control throughout the project lifecycle.

• Integrate and consolidate information from multiple stakeholders to ensure accurate and effective project planning and reporting.

• Analyze project data, identify schedule risks, critical path activities, and potential delays, and propose mitigation measures to support project objectives.

• Calculate and estimate the duration, manpower, equipment, and resource requirements for major construction activities.

• Prepare and maintain weekly and monthly progress reports and management presentations. Experience in using Power BI to develop project dashboards and visualize project data will be an added advantage.

• Utilize Microsoft office advanced skill to analyze project performance, monitor KPIs, and generate management reports.

• Prepare technical submissions and planning documents for tender submissions, including project schedules, methodologies, manpower histograms, and resource planning.

• Conduct site planning, monitor work progress, and coordinate with project teams to ensure works are executed according to the approved schedule.

• Prepare Extension of Time (EOT) claims, delay analysis, and supporting documentation.
  

Requirements:

• At least Diploma in civil engineering or related discipline.

• Minimum 7 years related experiences in the construction/LNG/Oil & Gas projects.

• Proficiency in Primavera P6.
  

Salary

• $6,000- $9,000

We are representing a subcontractor to hire for a Senior Project Engineer (Electrical) with experience in Data Center projects.

Key Responsibilities

• Manage and oversee electrical engineering works for data centre construction projects
• Coordinate closely with main contractors, consultants, subcontractors, and internal teams
• Review electrical drawings, specifications, and technical submissions
• Supervise installation, testing, and commissioning of electrical systems (e.g., LV/MV distribution, UPS, generators)
• Ensure compliance with safety standards, regulatory requirements, and project specifications
• Track project progress, resolve site issues, and support schedule and cost control
• Provide technical support and guidance to junior engineers and site teams

Requirements

• Degree in Electrical Engineering or relevant discipline
• Minimum 2-6 years of experience in data centre / mission-critical projects, with a strong electrical focus
• Experience working for subcontractors or on-site project execution roles preferred
• Solid understanding of electrical systems installation and coordination within construction environments
• Strong communication and stakeholder management skill

Interested candidates, please apply here.

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire a Backend Systems Engineer - IOT/Smart City. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

ROLES AND RESPONSIBILITIES
Join the Software Engineering team on a physical Operations Technology (OT) integration project. You will build and maintain the backend systems that connect OT field devices to the digital twin platform — handling real-time data ingestion, protocol translation, and system integration across industrial communication standards.

Key Responsibilities

• Develop and maintain backend services and middleware for OT/IoT data ingestion using OPC-UA, MODBUS, and MQTT protocols.
• Build data pipeline components that normalise, process, and route telemetry from field devices to platform services and 3D visualisation layers.
• Integrate AI coding tools (e.g. Claude, Copilot) into daily development workflows for code generation, unit testing, and validation — this is an expected practice, not optional.
• Write and maintain automated test suites covering protocol adapters, data transformation logic, and integration endpoints.
• Collaborate with frontend Unity engineers and systems architects to define and implement API contracts (REST/WebSocket).
• Participate in code reviews, contribute to technical documentation, and support deployment through CI/CD pipelines.
• Troubleshoot field connectivity and protocol issues; work with OT/hardware teams on device commissioning and debugging.

Must-Have Requirements

• Hands-on experience with OPC-UA, MODBUS, and MQTT — protocol implementation, not just conceptual familiarity.
• Proficiency in backend development (Python, Node.js, Go, or Java — at least one).
• Active use of AI tools for coding, testing, and validation in prior roles or personal projects.
• Experience writing integration and unit tests; familiarity with test automation frameworks.
• Comfortable working with message brokers (MQTT brokers, Kafka, or similar) and time-series or event-driven data.

Good to Have

• Exposure to digital twin platforms or industrial IoT stacks.
• Familiarity with OT security considerations (network segmentation, secure protocol configuration).
• Experience with containerisation (Docker/Kubernetes) and CI/CD tooling.
• Knowledge of BACnet, DNP3, or other industrial protocols.

Experience

2–5 years in backend or systems software engineering, with at least some exposure to OT/IoT environments. Degree in Computer Science, Engineering, or equivalent practical experience.

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to keerthana@aven-sys.com. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS

Consultant Name: Keerthana Ramakrishnan

Avensys Consulting Pte Ltd

EA License 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Job Summary 

As an augmented resource in the Enterprise Knowledge Department, you play an important role in transforming how the Authority works with structured and unstructured data. You will be part of a dynamic team responsible for developing, enhancing and maintaining IT systems/applications that support data management needs. 

Key Responsibilities 

• Analyse the Authority’s data needs and document the requirements. 

• Refine data collection/consumption by migrating data collection to more efficient channels. 

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.  

• Develop test plan and scripts for system testing, support user acceptance testing. 

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution. 

• Ensure the smooth operations and service level of IT solutions. 

• Support production issues. 

What we are looking for 

• Good understanding and completion of projects using waterfall/Agile methodology. 

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.   

• Understanding of reporting or visualization tool like SAP BO and Tableau is important. 

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.  

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica. 

• Strong SQL and data modelling and data analysis skills.  

• Good understanding of analytics and data warehouse implementations. 

• Ability to troubleshoot complex issues ranging from system resource to application stack traces. 

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage. 

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

ACMV Engineer (Air Conditioning and Mechanical Ventilation Engineer)

Working Days: Monday – Friday
Working Hours: 9am – 5.30pm
Salary: $ 3,800 - $ 5,000
Working Location: Eunos

Industry: Interior Design & Construction Company

Job Responsibilities:

• Design and planning of ACMV and MV systems
• Preparing and submitting tenders (Tender Costing)
• Conducting site surveys and managing the construction site (Site Management)
• Familiar with and arranging ACMV related services
• Assisting in the procurement of engineering equipment and materials (Procurement)
• Supervising on-site installation work to ensure compliance with drawings and specifications
• Assisting in testing and commissioning (T & C) Commissioning) Assisting with system troubleshooting and problem solving
   

Requirements:

• Diploma in Engineering-related experience (Mechanical, Electrical or construction services preferred)
• 2+ years of relevant work experience
• Familiarity with local regulations and standards preferred 

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Role Overview

We are seeking an experienced Backend Engineer with strong expertise in Generative AI technologies to join our growing AI engineering team. This role focuses on designing, developing, and maintaining scalable backend services, AI orchestration frameworks, and cloud-native AI solutions that support enterprise-grade AI applications.

The successful candidate will contribute to the development of intelligent agent frameworks, Retrieval-Augmented Generation (RAG) solutions, AI marketplaces, and secure AI-enabled services while collaborating closely with product, frontend, and platform engineering teams.

Key Responsibilities

AI Orchestration and Agent Development

• Design and develop orchestration frameworks for AI agents using Python-based technologies and cloud-native AI services.

• Develop, integrate, and maintain reusable AI capabilities, agent workflows, and third-party API integrations.

• Support the onboarding and lifecycle management of agent capabilities and automation services.

Advanced RAG and Cloud Integration

• Design, implement, and optimise Retrieval-Augmented Generation (RAG) architectures.

• Integrate Large Language Models (LLMs), embedding models, and enterprise knowledge sources within cloud environments.

• Manage retrieval strategies, context management, and performance optimisation for AI applications.

Platform and Marketplace Development

• Design and develop backend services supporting AI capability marketplaces and knowledge-sharing platforms.

• Enable secure publishing, versioning, management, and governance of datasets, AI agents, document-based chat applications, and reusable AI capabilities.

Backend and API Engineering

• Architect, develop, and maintain scalable backend services and APIs.

• Design and manage relational database solutions, including PostgreSQL, to support application data and workflow management.

• Ensure high availability, performance, maintainability, and scalability of backend systems.

Vector Search and Data Engineering

• Design and optimise vector search, retrieval systems, and search infrastructure.

• Manage vector databases, search platforms, and indexing strategies to improve retrieval accuracy, relevance, and performance.

Agent Observability and Evaluation

• Implement monitoring, telemetry, and observability capabilities for AI applications and agent workflows.

• Develop evaluation frameworks to assess AI outputs, application performance, reliability, and quality.

• Support initiatives to improve model performance and reduce inaccurate or undesired outputs.

AI Security and Governance

• Implement security controls for AI applications, including access controls, data protection measures, content filtering, and secure integration practices.

• Ensure compliance with enterprise security, governance, privacy, and regulatory requirements.

• Support the responsible use of AI technologies through risk management and governance frameworks.

Data Pipelines and Platform Support

• Design and maintain data ingestion, transformation, and processing pipelines supporting AI applications and knowledge systems.

• Support data preparation workflows and integration with vector databases and enterprise data platforms.

Cross-Functional Collaboration

• Work closely with frontend engineers, designers, product teams, and platform engineers to deliver end-to-end AI-enabled solutions.

• Participate in architecture reviews, technical discussions, and continuous improvement initiatives.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• At least 5 years of software engineering experience with strong expertise in backend development, API design, and distributed systems architecture.

• Hands-on experience building AI-enabled applications using frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent technologies.

• Experience working with managed Large Language Model (LLM) platforms and AI services.

• Strong familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

• Experience with AI services including AWS Bedrock, OpenSearch, or equivalent cloud-native AI technologies will be advantageous.

• Strong experience with PostgreSQL and relational database systems.

• Familiarity with vector database technologies, semantic search, and retrieval systems.

• Experience developing secure, scalable, and production-grade software solutions.

• Understanding of modern frontend technologies such as React and Next.js.

• Experience using AI-assisted software development tools while maintaining software quality, security, and maintainability standards.

Preferred Experience

• Experience with workflow automation platforms such as n8n, Flowise, or similar technologies.

• Experience with AI observability, monitoring, and evaluation tools.

• Experience working within environments requiring strict security, governance, privacy, or regulatory compliance standards.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Deals with clients,designers, consultants and contractors, supervies and implements projects fromstart to the completion and handover.

- Perform preventive andcurative Electrical and instrument maintenance.

- Project planning &coordination including preparation of drawing and explain to team.

- Procurement andscheduling of electrical works.

- Settle issues onsystems after handover during the defects and liabilities period.

Supervisesduring the construction stage from start to the completion and handover of theproject.

-Minimum Degree in Engineering or similar field its equivalent.

-Good interpersonal skills and pro-active in problem solving.

-Proficient in Microsoft office - Word, Excel & Powerpoint.

Knowledgein other design related software such as Autocad and Autocad 3Dmax.

-Can work under pressure and team player.

-Able to work long hours due to project urgency if needed.

- Qualityfocused and ability to meet deadlines in fast-paced project environment.

-Ad-hoc duties