Total 214 structural engineer job vacancies in Fortitude Valley

Responsibilities

• Responsible for Tech Refresh schedule, deployment and process for ISG Group
• Coordination with PC Officers for Tech Refresh Database and uploading of excel files
• Tech Support for HQMS vendor concerns
• Imaging of ISS and GMD machines
• Deploying signature updates, antimalware platform and Windows updates via Bigfix Console
• PC Deployment, collection of PC and deletion of emails
• Patch Schedule and Software request
• Any other ad-hoc duties as assigned by supervisor

Interested applicants, please Email , and look for johnwong@recruitexpress.com.sg

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

Job Description:

• Perform Systems Administration: Maintain Windows servers, virtualizationplatforms, and storage solutions. Manage Active Directory, ONS, OHCP, and Group Policy. Ensure high availability and disaster recovery with backups and replication. Monitor system performance, troubleshoot issues, and apply patches and updates.
• Maintain Network Services: Implement network design, configure, and maintain LAN, WLAN, and VPN infrastructure, managing firewalls, switches, and routers. Implement and monitor network security policies, intrusion detection, and access control. Optimize network performance, troubleshoot connectivity issues, and ensure redundancy.
• Ensure Security and Compliance : Implement cybersecurity best practices,monitor threats, and manage endpoint protection and vulnerability assessments. Ensure compliance with regulations (e.g., HIB). Conduct security audits and enforce policies on user access, encryption, and authentication.
• Documentation and Reporting: Create and maintain network documentation, including network diagrams, configurations, and procedures.
• On Rotating Roster: Provide standby support during off-office hours and weekend on a rotational basis.
• Ad Hoc Assignments: carry out any other tasks assigned by the supervisor

Interested applicants, please Email , and look for johnwong@recruitexpress.com.sg

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

Responsibility

• Assists day-to-day operation by picking up the phone calls/email/walk-ins/ticketing system to understand user’s enquires/request, provide IT support and perform troubleshooting or escalate to the relevant PIC, or provide alternatives to resolves the cases.
• Ad-hoc duties such as software installation, clone laptops, inventory checks, disposal etc.
• Perform troubleshooting in systems and report the status to superior on time without delay .
• To support project from another team/section/department as instructed by superior .
• To perform any ad-hoc assignment as instructed by superior .

Requirements

• Diploma or Higher Nitec studied in IT or related fields
• Preferable with at least 1-2 years of relevant working experience
• Responsible, meticulous, fast learner and able to understand the internal system process quickly
• Able to follow the internal systems thoroughly to make sure the tasks are smoothly process

Interested applicants, please Email , and look for

Jensen Fang Lifa

jensenfang@recruitexpress.com.sg

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Job Description:

• 1. System and Hardware Management:
• Support and manage various operating systems including Windows Server, Linux (RHEL, SUSE, Ubuntu), Solaris, IBM AIX, and Oracle Linux.
• Manage system software and hardware such as Active Directory, DNS, DHCP, ADFS, Azure AD, clustering solutions, SAN/NAS storage, and virtualization platforms.
• 2. Incident and Problem Management:
• Respond to system incidents according to severity levels and meet service level requirements.
• Handle high-pressure situations, identify problems, and make quick decisions to resolve issues.
• Adhere to incident management workflows and procedures.
• 3. Documentation and Reporting:
• Maintain and update system documentation, standard operating procedures (SOP), guidelines, and daily checklists.
• Provide timely and accurate reports on system performance, capacity planning, and incident analysis.
• 4. Collaboration and Coordination:
• Work closely with third-party vendors, telecommunication operators, ISPs, and other service providers.
• Participate in transition planning and support the onboarding of systems and services.
• 5. Compliance and Training:
• Ensure compliance with company policies, information security guidelines, and health and safety regulations.
• Provide continuous training to enhance knowledge and skills in system administration and management.
  
  Qualifications:
• Education: Diploma in Information Technology or a related field.
• Experience:
• 1-3 years of experience in managing system and hardware infrastructure.
• Certifications:
• ITIL certified, relevant certifications for specific systems (e.g., CCNA, MCSE, RHCSA).
• Skills:
• Strong technical knowledge of system and hardware management.
• Excellent problem-solving and decision-making skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.
• Working Conditions:
• Ability to work on standby, including nights, weekends, and holidays.
• On standby and contactable 24/7 for support and escalation.

Interested applicants, please Email , and look for johnwong@recruitexpress.com.sg

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

Data Management &Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
• Work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• Work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants please send your resume to venessagoh@recruitexpress.com.sg

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted.

The Job:

• Own and manage assigned project scope to meet internal targets and client expectations for quality, cost, schedule, and safety
• Develop and maintain detailed execution plans aligned with overall project milestones
• Prevent Liquidated Damages exposure through proactive schedule and risk management
• Escalate risks early with mitigation plans
• Translate contract scope into executable work packages
• Plan installation sequencing, work fronts, and subcontractor deployment
• Monitor installed quantities vs. budgeted quantities
• Track manpower productivity against planned norms
• Identify cost overruns early and implement corrective actions

The Requirements:

• Minimum Degree in Engineering or equivalent years of experience
• WSQ Supervise Construction Work for WSH
• Manage Work At Height
• Minimum 5years of working experiences in engineering projects
• Self-motivated with a results-driven approach

Interestedapplicants can send their detailed resumes to janelui@recruitexpress.com.sgor call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg.No. 199601303W || EA Licence No. 99C4599

Data Management &Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
• Work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• Work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants, please Email, fabianling@recruitexpress.com.sg

Fabian Ling Tuong Liing

R25129353

Recruit Express Pte Ltd

EA Licence No: 99C4599

We regret that only shortlisted candidates will be contacted.

• Build and troubleshoot automated assembly machines, robotic systems, and sub-assemblies from engineering drawings.
• Debug machines, robots, and processes for newly built machines.
• Perform machine and robot alignments, calibration, and final set-ups.
• Assist Engineers in carrying out new machine, robotic system, or equipment start-up.
• Assist Engineers in continuous yield improvement programs through machine mechanization, robotic automation, and process optimization.
• Experience in machine and/or robotic equipment assembly
• Able to read and interpret engineering drawings
• Hands-on experience in machine troubleshooting and assembly is preferred

Interested candidates please send in your resume to:
Reina Patricia Johan
Outsourcing Team
Recruit Express Pte Ltd
Email: reina@recruitexpress.com.sg

EA License No: 99C4599

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Duties & Responsibilities:

• Design, implement, and deploy an enterprise-scale agentic AI platform to support engineering users in product design and manufacturing process development, ensuring robust, scalable, and reliable system performance.
• Collaborate with multiple business units, IT, and global engineering teams to define and execute the agentic platform and architecture strategy, including scalability, governance, and cross-functional adoption.
• Develop agentic workflows and orchestration frameworks, while providing technical support and guidance to users to ensure effective platform utilization.
• Evaluate and manage external vendors, and drive program execution to deliver platform capabilities and business impact.
• Identify and apply the latest developments in AI technology and high-performance computing to continuously improve the platform and its capabilities
• Create awareness across TE of the AI modeling capabilities of the Singapore Corporate R&D Center
• Partner with Singapore research institutes to develop advanced AI techniques and assist with validation and knowledge transfer of outsourced projects

Qualifications:

Required:

• Master degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field with 8-12 years (or Bachelor degree with 10-15 years, or PhD degree) plus relevant working/research experience
• Expertise in LLMs, multi-agent/agentic AI frameworks and relevant programming skills
• Enterprise AI platform deployment experience with architecture knowledge (cloud, DevOps, MLOps, etc.)
• Strong communication and stakeholder management
• Ability to lead programs independently
• Keen interest in R&D involving coding and data
• Experience in effective project management strategies and tactics
• Basic understanding of engineering knowledge such as materials/manufacturing processes

Preferred:

• Familiarity with TE products, such as connectors, cables, sensors etc.
• Broad knowledge of different materials’ mechanical, electric, thermal properties, including polymers, metals and alloys
• Broad knowledge of manufacturing processes (molding, extrusion, plating, stamping, assembly etc.), material development and product design

• Identify, evaluate, and pursue new business opportunities and developing strategies to increase sales.
• Actively develop commercial prospects and convert leads into execution.
• Ensure all prospects and leads are accurately updated.
• Work closely with operations teams to ensure smooth and effective service execution.
• Develop and maintain strong working relationships with customers.
• Monitor customer satisfaction and ensure timely NPS update.

Joy Yeow Zhi Qian
(CEI Registration No: R2096261)
Recruit Express Pte Ltd (EA Licence No: 99C4599)

• Responsible for direct sale of vacuum pumps, systems, parts and services in Singapore.
• Break new grounds and penetrate the key industries as in; Food Packaging, Medical, Petrochemical, Chemical, Automotive, Pharmaceutical, Electronics, Semiconductor
• Undertake the role to develop new and key accounts and strive towards achieving sales goals and objectives.
• Engage the customers on a day-to-day basis to initiate and coordinate sales activities.
• Responsible for quarterly Sales forecasting and meeting monthly and yearly “Sales” target for Singapore region.
• Track and report sales activities using CRM system.
• Handle sales inquiries and generate proposal to customers for sale of pumps, repair, field service and spare parts.
• Create sales leads, follow up on sales opportunities and take ownership to follow up on quotations.
• Working closely with customers to find application possibilities and propose suitable technical solutions.
• Conduct competitive analysis and identify market price for various customers and market segments in Singapore.
• Conduct product and application training.
• Other adhoc duties as assigned

Joy Yeow Zhi Qian
(CEI Registration No:R2096261)
Recruit Express Pte Ltd (EA Licence No: 99C4599)

Location: Sydney, Australia (Full Visa Sponsorship & Comprehensive Relocation Package Provided)

Work Arrangement: On-site 5 days/week (with hybrid flexibility up to 2 days remote once established)

About our client & Their Mission

Our client are pioneering the future of energy by building the world’s first wireless energy delivery platform powered by light. Creating mission-critical control software for a first-of-its-kind energy networking infrastructure.

Their current engineering team is small, elite, and technically intense from designing and deploying a foundational embedded software architecture from the ground up—completely unconstrained by legacy code or decades-old decisions.

If you want to solve complex, real-world physics problems at the intersection of optics, hardware, and deep tech, this is your launchpad.

Why Move to Sydney for This Role? (Singapore-to-Australia Relocation Perks)

We know moving countries is a massive milestone. We ensure a seamless transition from Singapore to Sydney by offering:

• Full Visa Sponsorship: Turnkey management of your Australian working visa.

• Comprehensive Relocation Support: Covered flights, initial temporary housing, and relocation logistics—including pet relocation support.

• Extensive Leave & Wellness: 8 weeks paid parental leave, unlimited paid personal/medical leave, and a $1,000 AUD annual wellness/growth stipend.

• World-Class Facilities: Work in a fully equipped, state-of-the-art laser and hardware facility in one of the world's most liveable coastal cities.

The Role & What You'll Own

This is a high-ownership, end-to-end embedded systems role.

You will own the firmware and software stack, scaling from low-level microcontroller control systems up to high-level state management and telemetry. As we actively re-architect our core systems to be modular and scalable, you will directly shape our foundational architecture.

• Hard Real-Time Deployment: Develop, validate, and deploy complex hard real-time embedded software on real physical hardware (laser alignment, safety-critical systems, and power conversion).

• Architecture Design: Architect core middleware for communication, state-machine control, and telemetry with robust error handling across the entire stack.

• Low-Level Driver Development: Write highly optimized, bare-metal or RTOS drivers for microcontroller peripherals and communication interfaces.

• Modern Workflows: Build and maintain automated test systems and CI/CD pipelines to support rapid firmware iteration on physical hardware.

• Cross-Functional Collaboration: Partner directly with systems, hardware, optical, and mechanical engineering teams to bridge software with physical reality.

Requirements & Technical Skill Set

We are looking for a sharp, hands-on engineer who thrives in an R&D environment. You should have:

• Production-Level C/C++: Proven experience in real-time embedded systems with a strict microcontroller focus (not desktop or pure application layer code).

• Modern Standards: Comfortable with modern C++ standards—we do not use legacy or outdated embedded patterns.

• Communication Protocols: Deep, working knowledge of CAN bus, SPI, I2C, and UART.

• Modern DevOps for Hardware: Experience setting up or working with CI/CD pipelines, automated hardware-in-the-loop (HIL) testing, and modern developer workflows.

• Domain Exposure (Plus): A background in Robotics, Aerospace, Autonomous Vehicles, or Medical Devices is a massive advantage.

• Relocation Readiness: Ability to relocate to Sydney, Australia, and a desire to work closely with physical hardware on-site.

Why This is a Great Career Move

1. Genuinely Novel Technology: You will work on a category-defining deep tech product. This isn't another SaaS tool or traditional firmware adjustment; it’s wireless energy.

2. True Equity & Upside: With a ~0.1% equity stake, you have genuine financial upside as the company scales from seed stage.

3. No Legacy Constraints: You aren’t inheriting a frozen, fragile codebase. You are the architect.

SENIOR BACKEND ENGINEER

Responsibility

The Backend Engineer is responsible for designing, developing, and maintaining scalable and secure backend services that power digital products. The role requires expertise in software engineering principles, modern development practices, and cloud-native architecture. Engineers must work in an agile, DevOps-driven environment, ensuring high software quality, reliability, and security.

a)    Collaborate with Business Analysts(BA) and Product Managers to refine user stories and translate them into technical requirements.

b)    Work with Quality Assurance (QA)engineers to ensure automated test coverage and proactively fix bugs and defects.

c)     Partner with DevOps teams to automate build, deployment, and monitoring pipelines.

d)    Develop and maintain scalable, high-performance APIs and backend services in a cloud-native environment.

e)    Implement modern software development practices, including TDD, pair programming, and CI/CD.

f)      Conduct code reviews, enforce security best practices, and ensure software craftsmanship standards.

g)    Design     and     document     system     architecture,         ensuring compliance with government security and regulatory standards.

h)    Excellent written and verbal communication skills to pitch ideas and influence stakeholders.

i)       End to end experience working with product team to build products.

j)       Ability to work effectively and independently under pressure and prioritize effectively to meet tight deadlines.

k)      Computer science, product management related degrees or diplomas are a plus.

l)       Optimize and improve backend systems for scalability, observability, and reliability.

m)   Where applicable, contribute to blockchain and smart contract development.

Experience and Skills Needed

Technical Skills:

a)     Degree or Diploma in Computer Science, Computer or Electronics Engineering, Information Technology, or related disciplines.

b)    Experience with Git and modern branching workflows (GitFlow, trunk-based development).

c)     Proficiency in modern backend programming languages such as: Shell Scripting, Java, Python, Golang, Node.js.

d)    Experience with cloud platforms (AWS, Azure, Google Cloud).

e)       Familiarity with microservices architecture and event-driven patterns is a plus(Kafka, RabbitMQ).

f)      Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).

g)      Experience with CI/CD pipelines(ex. GitHub Actions, GitLab CI,).

h)       Knowledge of database technologies (ex. PostgreSQL, MySQL, MongoDB, DynamoDB, Redis).

i)       Experience with observability tools (Prometheus, OpenTelemetry, Grafana, ELK stack).

j)      Experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation).

k)       Experience with API documentation tools such as Swagger.

Software Engineering Practices:

a)     Experience working in Agile Software Delivery Life cycle and Practices(ex: Scrum, Kanban) with strong collaboration skills.

b)    Knowledge of Extreme Programming (XP) practices such as TDD, pair programming, continuous refactoring.

c)      Strong understanding of test automation frameworks (example: JUnit, PyTest ).

d)    Adherence to software craftsmanship principles, ensuring clean, maintainable, and efficient code.

Bonus Experience (Added Advantage):

a)     Experience working with government digital services and authentication mechanisms (SingPass, CorpPass).

b)     Experience with API gateways and service meshes(Kong, Istio, Apigee).

c)     Experience with serverless computing (AWS Lambda, Azure Functions).

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Duties & Responsibilities:

• Run multiple projects in developing data science solutions to support new product development in TE
• Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.)
• Develop multiple algorithms powered by machine learning and generative AI to work on experimental and simulation data sets
• Work in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields
• Collaborate with multiple business units to define deliverable, requirements, and functionalities.
• Create awareness across TE of the AI modelling capabilities of the Singapore center
• Work with local and global TE sites, and external customers and partners, to address urgent or strategic needs
• Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects

Qualifications:

Required:

• Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experience
• Keen interest in R&D involving coding and data
• Deep understanding of data science and artificial intelligence (having a second degree on data science is a plus)
• Broad understanding of multiphysics simulation (such as finite element analysis) along with experience in CAD (such as generative design)
• Strong programming skill in Python or similar languages
• Broad knowledge of manufacturing processes, material and product design
• Experience in effective project management strategies and tactics

Preferred:

• Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)
• Familiarity with project management tools

We are hiring and the details of this position are:

Job title: Data Engineer (Perm role with up to 6mth VB, up to $8000 basic, Azure DevOps, Python)
This role will report to Data and Analytics Lead.

Job Description:
Data Management & Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimizing data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimizing models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning data system, identifying and resolving performance bottlenecks, issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Job Requirements:

• Bachelor’s or master's degree in computer science, data science, software engineering, information systems, or related quantitative field.
• At least 6 years of work experience in data management disciplines, including data integration, modelling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• At least 4 years of work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases including SQL and NoSQL is a must, while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools including Unity Catalog and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.

Interested applicants please send your resume to rita@recruitexpress.com.sg and look for:

Rita Shi Tianhe

Recruit Express Pte Ltd

EA License No: 99C4599

EA Personnel Number: R26162019

We regret that only shortlisted candidates will be contacted.