Total 4,639 Others data entry job vacancies

•You will be responsible for end-to-end delivery of enterprise data and analytics solutions leveraging traditional and modern Data architecture. Experience with Financial Crime Analytics, Finance & Credit Risk Analytics, Credit Scoring & Decision systems, Retail & Wholesale Datamarts will of advantage

•The role spans requirements analysis, solution design, testing, implementation, and production support ensuring high-quality, scalable, and compliant data platforms that support advanced analytics and AI initiatives.

Key Responsibilities

•Lead end-to-end solution delivery for data and analytics across the full SDLC.

•Analyze business and regulatory requirements, translate them into scalable solution designs & provide estimations.

•Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner.

•Review and approve test strategies, functional test cases, and data validation approaches.

•Manage risks and issues related to scope, data quality, regulatory commitments, and delivery timelines.

•Participate in product and platform evaluations (RFPs, PoCs) for data, analytics, and AI tooling.

•Partner with production support team to conduct root cause analysis, resolution, and preventive controls.

•Lead innovation and modernization initiatives, including data discovery, cataloguing, governance, and AI enablement.

•Drive productivity, efficiency & quality improvements across delivery and operational processes.

•Ability to design data architectures supporting NLP and AI-driven analytics.

FUNCTIONAL SKILLSETS

Analytics Domains

•Financial Crime Analytics Transaction Monitoring, Customer Due Diligence, Sanctions & Payments Screening

•Finance & Credit Risk Analytics Financial reconciliation, Allocation, Performance management, Regulatory and Management reporting, Credit risk exposure, NPL, Counterparty risk, Basel & IFRS9 input variables

Enterprise Data, Analytics & Unstructured Data Enablement

•Proven experience delivering large-scale analytics platforms within financial services spanning structured, semi-structured, and unstructured data

•Strong capability in requirements analysis and functional design for analytics use cases involving Transactional data, Investigator narratives, Case notes and alerts, Policy & Customer communications documents

•Experience defining data quality, governance, lineage, and reconciliation controls for both structured and NLP-derived datasets.

Unstructured Data & NLP-Enabled Analytics

•Ability to define data architectures and data flows that ingest, curate, and govern unstructured and semi-structured data within enterprise data platforms.

•Experience translating business requirements into NLP-enabled analytical use cases, such as Text classification and categorization, Entity & relationship extraction, Risk indicator identification, Summarization of alerts, cases, or documents

Knowledge Graph & Relationship Based Analytics

•Ability to design and govern an enterprise knowledge layer defining relationship taxonomies, entity resolution rules, and linkage logic

•Ability to translate use cases into relationship driven analytical designs, such as Network based risk identification, Hidden association and indirect exposure analysis, Related party and concentric risk detection

Requirements

Data Platforms & Architecture

•Open table formats: Apache Iceberg, Delta Lake, Apache Hudi

•Distributed processing & query engines: Spark, Trino/Presto, Hive

•Cost optimization strategies: tiered storage, lifecycle management, workload governance

Programming & Analytics

•SQL, BTEQ, GCFR

•Python (Pandas, NumPy)

•BI & visualization tools: Power BI, QlikSense

Data Integration & Quality

•Informatica suite: PowerCenter, BDM, IDQ, Enterprise Data Catalogue

•Data ingestion patterns: batch, CDC, streaming

•Data validation, quality controls, and reconciliation frameworks within environments

Governance, Risk & Compliance

•Data modelling, critical data elements, regulatory reporting

•Fine-grained data access controls (row-level, column-level, masking)

•Metadata management, lineage, and impact analysis

•Compliance with BCBS 239, MAS, AML/CFT, and internal data standards

Big Data Platforms

•Cloudera Hadoop distribution: Hive, Impala, Spark, Iceberg, Trino

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.

• Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.

• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.

• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.

• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.

• Deployment of pipeline artifacts from one environment to the other using Azure Devops.

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.

• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.

• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.

• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.

• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• Team player with good interpersonal, communication, and problem-solving skills.

• Preferred to have Devops expertise.

Candidates without prior experience are welcome to apply as on the job training would be provided.

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Contributes to the development of new analytics tool, software, and approaches, including the design, development, troubleshooting and debugging.

  *   Ongoing maintenance, update and support of the existing programming and analytic tools

  *   Develop, implement and maintain server and database infrastructure, hardware and software to ensure maximum tool uptime and performance.

  *   Execute end-to-end data processing workflows, ensuring data is accurately ingested, cleaned and structured across corporate systems.

  *   Manage and monitor data flows between current and future infrastructure components to maintain data integrity and consistency.

  *   Analyze processed data to uncover trends, patterns and operational performance metrics using statistical techniques.

  *   Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives

  *   Leads and /or provides expertise to functional project teams and may participate in cross-functional initiatives.

The requirements:

  *   5 years of hands-on experience in data engineering and analytics

  *   Strong skills in statistical tools and programming languages such as Python, R, etc.

  *   Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.

  *   Proficiency in SQL for data extraction and manipulation.

  *   Attention to detail and a commitment to data accuracy.

  *   Proactive approach to identifying issues and providing solutions.

  *   Strong analytical and problem-solving skills. Ability to analyze complex datasets and translate data into actionable insights.

  *   Ability to present complex information in an understandable and compelling manner.

  *   Excellent written and verbal communication skills

  *   Ability to work independently and collaboratively as part of team

Tired of retail, hospitality, admin—or just stuck in a routine that doesn’t excite you anymore? This could be your reset button.

Your Role:
• Represent exciting client campaigns through face-to-face interactions
• Deliver a positive, professional, and memorable customer experience
• Work closely with a driven team to hit shared goals
• Level up your communication and people skills through structured training

What We’re Looking For:
• Attitude over experience
• Eagerness to learn and grow
• Strong communication and a team-first mindset

Why You’ll Love It Here:
• Full hands-on training (we build you up from day one)
• High-energy, supportive team culture
• Real career progression—not just promises, but pathways

If you’re ready for something more dynamic, this is your sign to step in and start building your next chapter.

Data Governance & Reporting Automation Consultant (Banking)

My client is a leading consulting firm in Asia supporting top-tier enterprise institutions on large-scale data and regulatory transformation initiatives. They are currently looking for a Data Governance & Reporting Automation Consultant to join a major enterprise program.

What You’ll Do

• Drive data governance initiatives including KDE identification, data lineage, EUC inventory, and process mapping

• Lead automation of regulatory reporting processes using Alteryx and related tools

• Replace manual Excel/Access workflows with scalable, system-driven solutions

• Redesign reporting processes in line with BCBS239 principles

• Partner with Finance, Risk, and IT teams to deliver end-to-end solutions

• Facilitate workshops and support stakeholder adoption

• Manage project deliverables, timelines, and stakeholder reporting

What We’re Looking For

• 5+ years of experience in banking / financial services / consulting, with at least 3+ years in Management Consulting

• Strong background in data governance, regulatory reporting, or data management

• Hands-on experience with Alteryx (automation, workflow design) is highly preferred

• Good understanding of finance/risk reporting and BCBS239

• Experience working across business & IT stakeholders

• Strong communication, documentation, and project management skills

Nice to Have

• Experience with data lineage tools (e.g., Collibra)

• Exposure to BI tools (Power BI, Tableau)

• Background in process improvement / BPR initiatives

Raymond Ler (R1876114)

JAC Recruitment Pte. Ltd. (90C3026)

Responsibilities

• Develop and maintain ETL/ELT pipelines using Python, PySpark, and SQL.
• Build and support batch and real-time data processing solutions.
• Integrate data from multiple sources and ensure data quality and reliability.
• Monitor, troubleshoot, and optimize data pipelines and workflows.
• Collaborate with business, analytics, and technology teams to deliver data-driven solutions.
• Support cloud-based data platforms and data warehousing initiatives.
• Develop automation and monitoring solutions to improve operational efficiency.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
• 3+ years of Data Engineering or ETL development experience.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Hadoop, Spark, Kafka, or similar big data technologies.
• Knowledge of data warehousing and data modeling concepts.
• Experience with cloud platforms such as Azure Data Factory, Azure Synapse, Databricks, or Azure Data Lake.
• Strong problem-solving and stakeholder management skills.

Technical Skills

• Experience with Apache Flink or real-time streaming technologies.
• Exposure to Power BI, Tableau, Qlik, or other BI tools.
• Familiarity with AI/LLM frameworks such as LangChain, LangGraph, or RAG solutions.
• Experience within banking, financial services, or large enterprise environments.
• Tech Stack: Python, PySpark, SQL, Hadoop, Spark, Kafka, Azure, Databricks, Power BI/Tableau.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: andrechua@recruitexpress.com.sg

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment(CI/CD) and Site Reliability Engineering(SRE) practices.

Asa forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, youwill be working on:

·      Translate data requirements from business users into technical specifications.

·      Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

·      Build out data product as part of a data team:

·      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

·      Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

·      Construct, test, and update useful and reusable data models based on data needs of end users.

·      Design and build secure mechanisms for end users and systems to access data in data warehouse.

·      Research, propose and develop new technologies and processes to improve agency data infrastructure.

·      Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

·      Maintain data catalogue to document data assets, meta data and lineage.

·      Implement data quality checks and validation processes to ensure data accuracy and consistency.

·       Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

·      A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

·      Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

·      Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

·      Experience with Databricks.

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

·      Experience with orchestration frameworks such as Airflow, Azure Data Factory.

·      Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

·      Familiarity with building and using CI/CD pipelines.

·      Familiarity with DevOps tools such as Docker, Git, Terraform.

·      Experience with implementing technical processes to enforce data security, data quality, and data governance.

·      Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

·      Experience in Climate and Weather domains will be an advantage.

About Our Client

Our client is a regional data centre solutions provider that merges engineering excellence with sustainability to deliver world-class facilities across Asia.

Their integrated approach covers concept design to operation, with a focus on energy efficiency, scalability, and high-density computing readiness.

How to Apply

Leader in data centre development, delivering high-performance, mission-critical facilities across APAC. They are seeking a Head of Regional Engineering – Data Centres to lead engineering practices, standardise design approaches, and drive innovation across greenfield and brownfield projects.

This is a strategic leadership role, overseeing multidisciplinary teams, guiding design and delivery, and ensuring operational efficiency, sustainability, and technical excellence across multiple projects and countries.

Leadership & Strategy

• Lead and mentor a team of engineering specialists, project managers, and energy managers across the region.

• Foster a culture of creativity, collaboration, innovation, and technical excellence.

• Participate in strategic planning with senior stakeholders to align engineering outcomes with business objectives.

• Support the attraction and recruitment of top-tier engineering and project management talent.

Data Centre Development & Engineering Oversight

• Oversee greenfield and brownfield data centre projects from site selection, design, tender, construction, to commissioning.

• Engage and manage consultants (Architect, M&E, C&S, Energy, etc.), overseeing design development, cost estimates, and tender processes.

• Provide technical leadership for complex M&E systems, identifying single points of failure and resolving engineering challenges in cooling, power, and mission-critical systems.

• Drive research and adoption of new technologies and construction methodologies to improve energy efficiency, water usage, operational productivity, and sustainability.

Project Delivery & Financial Oversight

• Review and monitor project budgets, cost control, and financial performance.

• Ensure projects are delivered on time, within scope, and aligned with business and customer requirements.

• Implement initiatives to optimise PUE, WUE, carbon footprint, and operational efficiency across the data centre portfolio.

Requirements

• Bachelor’s degree in Mechanical, Electrical, Project Management, Architecture, or related discipline.

• 15+ years of professional experience, including 10+ years in data centre development and engineering.

• Proven experience in leading multidisciplinary engineering teams and managing stakeholders across multiple projects/regions.

• Strong M&E expertise with experience in power, cooling, and mission-critical systems.
  
  
  How to Apply: Click Apply Now, or send your resume directly to:  Talent@BuildBridgePartners.com
  
  
  
  
  

• EA Name: BuildBridge Partners Pte Ltd
  EA License No: 25C2918
  EA Reg No: R1551092
  Consultant: Khoo Yan Jie

Leading international project management and construction consultancy with a strong global footprint across mission-critical and data centre developments. Known for delivering complex projects for hyperscalers, colocation providers, and enterprise clients, the organisation emphasises collaboration, professional growth, and long-term client relationships.

They are currently seeking a Project Manager (Electrical) to support the delivery of electrical packages on data centre construction projects.

The Role

In this role, you will be responsible for supporting the successful delivery of electrical works on data centre projects, working closely with clients, consultants, and contractors to ensure programme, quality, and safety objectives are achieved.

Responsibilities

• Support the delivery of electrical packages across data centre construction projects

• Attend and contribute to key project meetings to monitor progress, resolve issues, and communicate impacts to stakeholders

• Implement and monitor project procedures and governance processes

• Partner with the client team to review and improve project controls, workflows, and reporting

• Maintain a strong on-site presence, monitoring progress and promoting safe work practices

• Produce and manage weekly action plans for critical activities and follow up with all stakeholders through to completion

• Review proposed variations, change requests, and programme delays

• Coordinate with clients, consultants, and contractors on snagging, commissioning readiness, and close-out activities

Requirements

• 4 years of construction project management experience with a strong electrical background

• Experience on data centre or mission-critical projects is highly preferred

• Degree in Electrical Engineering, Construction Management, Project Management, or related discipline
  

  How to Apply: Click Apply Now, or send your resume directly to:  Talent@BuildBridgePartners.com
  
  
  

  
  
  

  
  
  

  EA Name: BuildBridge Partners Pte Ltd
  EA License No: 25C2918
  EA Reg No: R1551092
  Consultant: Khoo Yan Jie

Overview         

Responsible for project performance interms of HSE, schedule, design, scope quality, stakeholders, process, risk,project administration and cost. You will be required to perform dutiesdiligently to the quality standards set by the Company and conform to the Company’s policies and business systems and be always committed to theirimplementation and continuous improvement.

Your role

• Project execution and administration using established work processes and company quality management systems.
• Leading interactive planning sessions and establishing project schedules.
• Risk identification and establishing project risk register.
• Liaising with the client and stakeholders to ensure all client requirements related to the work packages are met, in accordance with company procedures.
• Managing all employees under your report to ensure they are working efficiently and completing tasks correctly.
• Assist in all procurement/contract administration activities, including but not limited to preparing technical specification, reviewing, and analysing submissions, preparing reports, negotiating with tenderers/contractors, chairing and writing minutes, administering awarded contracts and closing final accounts for awarded contracts.

About you

• Preferred Degree Holder in Engineering/Architecture/Interior Design or relevant discipline.
• Have a minimum of 10 years of relevant experience across Data Centre / Telecom projects
• Understanding of modular construction will be an advantage
• Excellent communication and presentation skills
• Professional accreditation preferred e.g. PMP, RICS, CIOB
• With good understanding of statutory submissions following Fitting out work
• Able to work independently and run construction meetings
• Able to coordinate between stakeholders including clients, consultants and contractors
• Candidate with less experience can be considered as a Project Manager

Rewards & benefits

Explore the rewards and benefits that helpyou thrive – at every stage of your life and your career.

This includes:

• Comprehensive life insurance coverage.
• Premium medical insurance.
• Generous annual leave balance.
• Flexible and hybrid work solutions.
• Remote work opportunities outside of country.
• Discretionary bonus program.
• Relocation assistance.
• Transportation & housing allowances (available for remote work locations).
• Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.

Seize every opportunity to sharpen yourskills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-classengineering services and nuclear organization. We connect people, data andtechnology to transform the world's infrastructure and energy systems.Together, with our industry partners and clients, and our global team of consultants,designers, engineers and project managers, we can change the world. We'recommitted to leading our clients across our various end markets to engineer abetter future for our planet and its people.

Find out more.

• Develop and maintain enterprise reporting solutions and business intelligence dashboards for insurance operations. 

• Analyze insurance data across policy, claims, underwriting, customer, finance, actuarial, and regulatory domains. 

• Design and deliver interactive dashboards, reports, and analytics solutions using Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

• Work with business stakeholders to understand requirements and translate them into data-driven insights. 

• Develop KPI dashboards covering premium growth, loss ratio, claims performance, underwriting profitability, customer analytics, and operational metrics. 

• Build and optimize data models, reporting layers, and self-service analytics capabilities. 

• Work with Microsoft Fabric components including Lakehouse, Data Warehouse, One Lake, Dataflows Gen2, Semantic Models, Notebooks, and Pipelines. 

• Support data integration, data warehousing, ETL/ELT processes, data quality, reconciliation, and governance initiatives. 

• Collaborate with underwriting, claims, actuarial, finance, risk, compliance, and technology teams. 

• Minimum 3 years of experience in Data Analytics, Business Intelligence, or Reporting. 

• Hands-on experience in to BFSI domain  

• Strong experience with Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

•  Strong SQL development skills with experience in query optimization. 

• Good understanding of Data Warehousing, Data Modeling, ETL/ELT, and Data Governance concepts. 

• Experience with Azure Data Services and cloud analytics platforms. 

• Knowledge of KPIs such as GWP, NWP, Loss Ratio, Combined Ratio, Claims Leakage, Claims Turnaround Time, and Customer Retention Metrics. 

• Experience with Python, Spark, Databricks, or Machine Learning will be an added advantage. 

• Relevant certifications in Power BI, Microsoft Fabric, Azure Data Engineering, Tableau, Qlik, or Insurance domain are preferred. 

. 

Overview:

This role involves coordinatingmanpower, monitoring progress, and supporting quality checks for successfulproject delivery

Your Role:

• Supervise and coordinate all mechanical works at the construction site, including equipment installation, alignment, and testing.
• Ensure work is carried out according to approved drawings, specifications, and safety regulations.
• Monitor daily progress, manpower allocation, and equipment utilization to meet project timelines.
• Conduct site inspections and verify compliance with quality standards and regulatory requirements.
• Liaise with engineers and other disciplines to resolve technical issues and implement design changes.
• Prepare daily and weekly progress reports, punch lists, and assist in material tracking.
• Ensure proper handling and installation of mechanical equipment, piping, and related components.
• Enforce safety protocols and maintain a safe working environment for all personnel.
• Support pre-commissioning and testing activities as required.
• Perform other duties as assigned by the Project Director

About you:

• Diploma or Certificate in Mechanical Engineering or related discipline.
• 8 years of relevant experience across Data Centre / Telecom projects.
• Strong knowledge of mechanical systems, equipment installation
• Understanding of modular construction will be an advantage
• Familiarity with international codes and standards (ASME, API, ISO, etc.).
• Experience in site coordination and working with multicultural teams.
• Good communication and leadership skills.
• Ability to read and interpret mechanical drawings and specifications.
• Knowledge of safety regulations and site compliance requirements.

Rewards & benefits

Explore the rewards and benefits that help you thrive – atevery stage of your life and your career.

This includes:

• Comprehensive life insurance coverage
• Premium medical insurance
• Generous annual leave balance
• Flexible and hybrid work solutions
• Remote work opportunities outside of country
• Discretionary bonus program
• Relocation assistance
• Transportation & housing allowances (available for remote work locations)
• Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition

Seize every opportunity to sharpen your skills, expand yourexpertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services andnuclear organization. We connect people, data and technology to transform theworld's infrastructure and energy systems. Together, with our industry partnersand clients, and our global team of consultants, designers, engineers andproject managers, we can change the world. We're committed to leading ourclients across our various end markets to engineer a better future for ourplanet and its people.

Findout more.