Total 992 data entry job vacancies in Information Technology category

We are representing our client, aleading provider of carrier‑neutralInternet Data Centers in Singapore, in the search for an experienced Senior /Engineer, Data Center Facilities Management. This opportunity offers the chanceto join a dynamic team delivering a comprehensive suite of integrated services,including network connectivity, managed services, work area recovery solutions,cloud offerings, and media delivery platforms. Through its Data Center Corridorinitiative, the company interconnects key facilities across Singapore, enablingrapid deployment and diverse connectivity options for enterprises and serviceproviders.

As one of the pioneers inbroadband development in Singapore, our client has built a strong reputation asa trusted partner for telco‑class,carrier‑neutraldata centers. With a growing presence across Southeast Asia, they combinesuperior stability, secure delivery, and a media‑centric approach to provide cutting‑edge solutions to customers. Guided by the vision of becoming Asia’sData Center of Choice, they continue to transform rapidly to meet the evolvingneeds of the digital economy.

Senior / Engineer, Data CenterFacilities Management

Job Description

Facilities Operation and Maintenance:

• Conduct the required daily maintenance and operations of the data center facilities to ensure serviceability of all active and redundancy equipment. This includes performing routine facilities activities such as critical system checks and functional testing
• Respond to Mechanical and Electrical alarms/faults, identify trends, and implement corrective actions as needed
• Respond and investigate Building Management System (BMS)/ Environmental Monitoring System (EMS) alerts, providing feedback on outstanding issues or events, responding to emergency situations, and being on standby duty as required
• Support Data Center projects and any additional and alteration work such as site construction activities and installations, coordination with external contractors and testing in adherence to operational standards within the given timeline
• Other duties as assigned that are consistent with the responsibilities and objectives of the role

Technical and Customer Support:

• Ensure contracted service level agreements and key performance indicators are met or exceeded
• Attend to customer requests and deliveries such as installations, coordination with the design & construction, operations requirements to coordinate customer move-in and turn-on, and others

Events and Accreditation Support:

• Involve in the scheduling, coordination and completion of all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method
• Undertake assigned tasks to support the various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required
• Comply to all standard operating procedures (SOP), method of procedures (MOP), emergency operating procedures (EOP) and emergency response procedures (ERP) established for the critical environments

Qualifications

• Degree graduates in Electrical or Mechanical engineering or equivalent qualifications
• Candidates without the required academic credentials but with at least 2 years of relevant working experience in Data Center facilities management and operations or facility management experiences (M&E) in building, construction, semiconductors or equivalent
• Candidates with more years of relevant working experience in Data Center facilities management and operations may be considered for the Senior Engineer role
• Good technical and functional skills and knowledge of facilities management and operations
• Able to commit to 24x7 rotating shift duty
• Strong communication skills
• Working location: (East) at Chai Chee / (North) at Woodlands

We regret that only shortlistedcandidates will be notified.

Responsibilities

• Provide technical support, including basic benchmarking and analysis to support engineering solutions.
• Assist in the setup and operation of product demonstrations, events, and exhibitions.
• Support pre-sales activities by explaining product features and solutions to customers.
• Propose practical and effective solutions for machine vision applications.
• Contribute to the development and expansion of applications within the assigned product group (e.g. machine vision and deep learning).
• Work closely with suppliers, customers, sales teams, and engineers to deliver effective solutions.
• Organize and conduct training sessions for customers at beginner and intermediate levels.
• Share product knowledge and guide customers on usage and applications.

Requirements

• Degree in Mechanical Engineering/ Electrical Engineering/ Mechatronics/ Electronics/ Computer Engineer or any related course of studies
• Candidates without experience are welcome to apply as training will be provided
• Comfortable dealing with software and system
• Comfortable travelling up to 20% around Asia for business trips

All qualified applicants, please send in your resume to:

triciagoh@recruitexpress.com.sg

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Requirement :-

Must-to-Have:

• 2–6 years of relevant experience in software/data engineering
• Proficiency in Scala/Java and Python
• Strong communication skills with good command of English
• Solid experience with ETL processes, including the Spark Suite (PySpark)
• Hands-on experience with the Hadoop stack (Hadoop, Hive, HDPS)
• Ability to design and develop Data APIs
• Experience with Operational Data Stores (ODS), Master Data Management (MDM), and data modelling
• Proven experience in building data frameworks and data architectures

Nice-to-Have:

• Experience in data warehousing, data lakes, and data management, including data processing and optimisation
• Intermediate knowledge of Artificial Intelligence (AI) and basic Data Science concepts
• Experience in BI tools, e.g., Tableau dashboard development and reporting

• Ensure rollback scripts are included for all batches in every Work Order
• Responsible to validate the script for all batches in every Work Order prior implementation
• To perform preliminary automated sorting and generate system-assisted grouping outputs.
• Conduct comprehensive manual validation to ensure accuracy of all preliminary outputs.
• Ensure end-to-end alignment of service types
• Process and organize all the local port (LP), number port (NP), and partial LP related data sets
• Conduct thorough validation to confirm the accuracy, consistency and correctness of all LP data sets
• Rectify data discrepancies (“dirty data”) through systematic correction, clarification or escalation to Customer’s team
• Perform weekly data validation exercise prior to batch finalization to ensure datasets remain up-to-date and migration ready
• Conduct regular check of IP reachability to ensure network readiness for migration
• Document all reachability tests and highlight any in-accessible nodes for rectification

Requirements

• Minimum Diploma or Degree in Electrical & Electronics Engineering or Data Analytics or CS Engineering
• Preferably with 1-2 years of relevant data validation experiences

Interested candidates please send in your resume to:
Topaz Liang Huimin (CEI No. R1104500), email to: west5@recruitexpress.com.sg
EA License No: 99C4599

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

For asuccessful POC, the candidate should ideally be a Mid-to-Senior level DataEngineer (3–5+ years) with the following "must-haves":

TechnicalCore

• Databricks Mastery: Expert-level knowledge of Delta Lake and the Medallion Architecture (Bronze/Silver/Gold layers).
• Apache Spark (PySpark/SQL): Ability to write optimized Spark code. For coming POC, Python is usually preferred over Scala/R for its flexibility and ecosystem.
• AWS Infrastructure: Deep understanding of S3 (Bucket policies/storage), IAM (Roles/Policies) for secure Databricks access, and VPC/Networking (Good to have)
• Data Ingestion: Experience with Databricks Autoloader or Unity Catalog for managed data governance.

"POC-Specific"Skills

• Prototyping Speed: The ability to set up a working end-to-end pipeline (Source → S3 → Databricks → OOTB BI Tool) in weeks, not months.
• Cost Management: Knowledge of how to configure Databricks Clusters (Autoscaling, Spot Instances) to prevent the POC from blowing your AWS budget.

JobDescriptions

Focus: Hands-on ETL/ELT and connectingvarious data sources and setup the platform with technical leadership.

• Role Summary:
• We are seeking a hands-on Data Engineer to spearhead our Databricks POC on AWS. You will be responsible for the initial environment setup, security configuration, and designing the framework for our future data platform.
• You will connect diverse AWS and external data sources into a unified Databricks environment.
• Key Responsibilities:
• Configure Databricks workspace integration with AWS (S3, IAM, VPC).
• Cleanse and transform raw data from S3, RDS, and APIs into Delta tables.
• Design and implement a scalable Medallion Architecture using Delta Lake.
• Build automated ingestion pipelines using Databricks Autoloader.
• Optimize Spark jobs for performance and reliability.
• Establish data governance standards using Unity Catalog. (Good to have)
• Evaluate POC success metrics (performance, cost, ease of use).

• Requirements: 3-5+ years in Data Engineering with PySpark/SQL; strong experience with AWS Glue or EMR is a plus.; Databricks Certified Data Engineer Professional preferred.

Requirements

• Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models)
• Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA)
• Strong understanding of the machine learning workflow (data cleansing, feature engineering, model evaluation, model explainability)
• Familiarity with forecasting evaluation metrics (e.g. MAPE, MAE) and ability to validate model performance
• Strong SQL skills for managing and querying large datasets
• Knowledge of data visualization tools (e.g., Power BI)
• Experience with cloud-based technologies such as Databricks, Azure, or AWS
• Strong communication skills — able to explain insights and models to both business and technical teams
• Ownership and accountability — able to deliver end-to-end solutions, not just analysis
• Collaboration — able to work effectively with Data Engineering, Tech, Product, and Supply Chain teams

Preferred (Optional) Qualifications:

• Exposure to MLOps tools (e.g., MLflow, job scheduling)
• Experience building production pipelines for forecast outputs (daily/weekly runs) and supporting downstream systems
• Experience in real-time analytics or scheduled processing systems
• Optimization mindset — able to balance accuracy, business impact, and time constraints

• Clear focus.
• Diverse Workplace (Our members are from around the world!)
• Non-hierarchical and agile environment
• Growth opportunity and career path

As a Data Scientist in our Search Squad, you will play a pivotal role in shaping the future of our customer-facing search experience. You will be the go-to expert for machine learning within the team, taking ownership of our search algorithms and driving their evolution. This is a unique opportunity to have a significant impact on a high-traffic, business-critical product. 

Responsibilities: 

• Take ownership of the existing "Learning to Rank" ML algorithm, from understanding its current implementation to identifying areas for improvement. 

• Design, develop, and deploy a new, state-of-the-art search algorithm to replace the current one, with a focus on fine-tuning and performance optimization. 

• Tailor the search algorithm to our diverse customer categories, with a special focus on FSD customers, to provide a more personalized and relevant search experience. 

• Collaborate closely with the backend and frontend engineering teams to integrate and deploy your ML models in our production environment using Kubernetes and ArgoCD. 

• Work with our existing search infrastructure, which includes Solr and Elasticsearch for pre-filtering, to ensure seamless integration of your machine learning solutions. 

• Act as the subject matter expert for data science within the Search Squad, providing guidance and sharing your knowledge with a team of talented engineers.

We are seeking an experienced Data Engineer to lead the team, design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processing and storage solutions.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes
• Implement and optimize data storage solutions, including data warehouses and data lakes
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access
• Ensure data quality, consistency, and reliability across all data systems
• Develop and maintain data models and schemas
• Implement data security and access control measures
• Optimize query performance and data retrieval processes
• Evaluate and integrate new data technologies and tools
• Mentor junior data engineers and provide technical leadership
• Collaborate with cross-functional teams to support data-driven decision-making

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 4-8 years of experience in data engineering or related roles
• Strong programming skills in Python, Java, or Scala
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive
• Proficiency in SQL and experience with both relational and NoSQL databases
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services
• Knowledge of data modeling, data warehousing, and ETL best practices
• Familiarity with data visualization tools (e.g., Tableau, Power BI)
• Experience with version control systems (e.g., Git) and CI/CD pipelines
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills

Overview:

We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.

Responsibilities

• Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.
• Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.
• Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.
• Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making.
• Innovation: Stay updated on the latest tools and techniques in data science and retail analytics.

Optional Responsibilities (if experienced):

• Feature Engineering:
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• MLOps:
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Data Engineering:
• Assist in designing and maintaining data pipelines and ensuring data quality.

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience: At least 2 years of experience in data science or a related field.
• Technical Skills:
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Soft Skills: Strong problem-solving, communication, and teamwork abilities.

Preferred (Optional) Qualifications:

• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.

• Clear focus.
• Diverse Workplace (Our members are from around the world!)
• Non-hierarchical and agile environment
• Growth opportunity and career path

Role description

·      You are operating GlobalData Platform components (VM Servers, Kubernetes, Kafka) and applications(Apache stack, Collibra, Dataiku and similar)

·      Implement automation ofinfrastructure, security components, and Continuous Integration &Continuous Delivery for optimal execution of data pipelines (ELT/ETL).

·      Develop solutions tobuild resiliency in data pipelines with platform health checks, monitoring, andalerting mechanisms, quality, timeliness, recency, and accuracy of datadelivery are improved

·      Apply DevSecOps &Agile approaches to deliver the holistic and integrated solution in iterativeincrements.

·      Liaison and collaboratewith enterprise security, digital engineering, and cloud operations to gainconsensus on architecture solution frameworks.

·      Review system issues,incidents, and alerts to identify root causes and continuously implementfeatures to improve platform performance.

·      Be current on the latestindustry developments and technology trends to effectively lead and design newfeatures/capabilities.

Experience

·      You have 5+ years ofexperience in building or designing large-scale, fault-tolerant, distributedsystems

·      Migration experience ofstorage technologies (e.g. HDFS to S3 Object Storage)

·      Integration of streamingand file-based data ingestion /consumption (Kafka, Control M, AWA)

·      Experience in DevOps,data pipeline development, and automation using Jenkins and Octopus (optional:Ansible, Chef, XL Release, and XL Deploy)

·      Experience predominatelywith on-prem Big Data architecture, cloud migration experience might come handy

·      Hands-on experience inintegrating Data Science Workbench platforms (e.g. Dataiku)

·      Experience of agileproject management and methods (e.g., Scrum, SAFe)

·      Supporting allanalytical value streams from enterprise reporting (e.g. Tableau) to datascience (incl. ML Ops)

Skills

·      Hands-on workingknowledge of large data solutions (for example: data lakes, delta lakes, datameshes, data lakehouses, data platforms, data streaming solutions...)

·      In-depth knowledge andexperience in one or more large scale distributed technologies including butnot limited to: Hadoop ecosystem, Kafka, Kubernetes, Spark

·      Expert in Python andJava or another static language like Scala/R, Linux/Unix scripting, Jinjatemplates, puppet scripts, firewall config rules setup

·      VM setup and scaling(pods), K8S scaling, managing Docker with Harbor, pushing Images through CI/CD

·      Experience using dataformats such as Apache Parquet, ORC or Avro Experience in machine learningalgorithms is a plus.

·      Good knowledge of Germanis beneficial, excellent command of English is essential

·      Knowledge of financialsector and its products

·      Higher education (e.g."Fachhochschule", "Wirtschaftsinformatik")

Job description

Drive AI-Enabled Insights

• Deploy Natural Language Q&A and Copilot-based analytics

• Develop AI-driven use cases (forecasting, anomaly detection, KPI insights)

• Enable business users to access insights independently

Build a Scalable Data Platform

• Design and optimize data pipelines using Microsoft Fabric

• Develop robust data models and Power BI dashboards

• Standardize data architecture across the AP region

Strengthen Data Governance & Trust

• Implement Microsoft Purview for data lineage and governance

• Define data ownership and ensure KPI consistency

• Improve data quality and transparency across systems

Partner with the Business

• Translate business needs into data and AI solutions

• Act as a trusted advisor to management and operational teams

• Drive adoption of data-driven practices

Requirements

• 3–5 years of experience in data analytics, BI, or data platform roles

• Strong hands-on experience with Power BI and data modeling-Experience with Microsoft Fabric / Azure Data Platform preferred

• Exposure to AI tools (Copilot, Azure OpenAI, or similar) is a plus

• Experience in data governance (e.g., Microsoft Purview) is advantageous
  

  HOW TO APPLY:

  Interested applicants, please click on “Apply Now”. We regret only shortlisted candidates will be notified.

  Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

  Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

  Trust Recruit Pte Ltd

  EA License No: 19C9950

  EA Personnel: Lim Jun Ping

  EA Personnel Reg No: R25128522