Total 868 Others data entry clerk job vacancies in Information Technology category

About the Role

Drive AI-driven automation and intelligent reporting across Finance and Operations to streamline and automate reporting processes.

This role focuses on reducing manual work, improving reporting speed, and enhancing data accuracy, enabling the business to make faster and better decisions.

This role requires a high level of integrity, as it involves handling sensitive financial data and supporting business-critical decision-making processes.

Key Responsibilities:

1) Reporting & Process Automation (Priority Focus)

• Automate weekly and monthly finance reports
• Eliminate manual Excel consolidation and repetitive tasks
• Develop standardized and scalable reporting templates

2) Data Management & Pipeline Development

• Extract and transform data from ERP and internal systems
• Ensure data accuracy, consistency, and integrity
• Build and maintain structured datasets for reporting and analytics

3) Dashboard & Visualization

• Develop interactive dashboards (e.g. Power BI / Tableau)
• Enable management to access near real-time insights
• Improve visibility of key KPIs (sales, cost, margin, etc.)

4) AI & Advanced Analytics (Progressive Implementation)

• Develop and deploy AI/ML models for:
• Forecasting (sales, cash flow, demand)
• Anomaly detection (cost, production, quality)
• Apply practical AI solutions to enhance automation and decision-making

5) Process Improvement

• Identify inefficiencies in current workflows
• Design automated solutions to improve productivity
• Reduce dependency on manual intervention and key personnel
• Ensure proper data governance, accuracy, and confidentiality in all reporting and automation processes.

6) Collaboration

• Work closely with Finance, Operations, and Production teams
• Translate business requirements into practical technical solutions

7) Other Duties

• Any other tasks as assigned by Top Management

Requirements

• Minimum Diploma or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence or related field
• Proficiency in Python & SQL programming and foundational knowledge of AI and machine learning frameworks
• Understanding of AI modelling techniques, such as supervised and unsupervised learning, and familiarity with software development practices
• Strong problem-solving abilities with an aptitude for analysing datasets and troubleshooting technical issues
• Hands-on experience in model deployment & end-to-end pipeline
• Experience in at least ONE of forecasting/ time series/ computer vision for manufacturing industry or NLP/ automation.
• At Least 5 years’ experience in data engineering.
• Strong analytical mindset and ability to collaborate effectively in a team environment, with clear communication
• High level of integrity, with strong sense of responsibility in handling sensitive financial and operational data, ensuring accuracy, confidentiality, and ethical use of information.

Perks & Benefits

• Allowance (phone, transportation, etc.)
• Regular team activities
• Personal leave
• Medical coverage
• Personal leave
• Personal development opportunities
• Paid training and development
• Work Laptop and Mobile phone provided
• Insurance for Hospital and Surgical
• Insurance for Personal Accident
• Keyman Insurance
• Annual Increment
• Annual Bonus
• Productivity Incentives

Mengenai Peranan

Memacu automasi dipacu AI dan pelaporan pintar merentasi Kewangan dan Operasi untuk memperkemas dan mengautomasikan proses pelaporan.

Peranan ini memberi tumpuan kepada mengurangkan kerja manual, meningkatkan kelajuan pelaporan dan mempertingkatkan ketepatan data, membolehkan perniagaan membuat keputusan yang lebih pantas dan lebih baik.

Peranan ini memerlukan tahap integriti yang tinggi, kerana ia melibatkan pengendalian data kewangan sensitif dan menyokong proses membuat keputusan penting perniagaan.

Tanggungjawab Utama:

1) Pelaporan & Automasi Proses (Fokus Keutamaan)

• Automasikan laporan kewangan mingguan dan bulanan
• Singkirkan penyatuan Excel manual dan tugasan berulang
• Membangunkan templat pelaporan yang piawai dan boleh diskala

2) Pengurusan Data & Pembangunan Saluran Paip

• Mengekstrak dan mengubah data daripada ERP dan sistem dalaman
• Memastikan ketepatan, konsistensi dan integriti data
• Bina dan selenggara set data berstruktur untuk pelaporan dan analitik

3) Papan Pemuka & Visualisasi

• Membangunkan papan pemuka interaktif (cth. Power BI / Tableau)
• Membolehkan pihak pengurusan mengakses cerapan hampir masa nyata
• Meningkatkan keterlihatan KPI utama (jualan, kos, margin, dll.)

4) AI & Analisis Lanjutan (Pelaksanaan Progresif)

• Membangun dan menggunakan model AI/ML untuk:
• Ramalan (jualan, aliran tunai, permintaan)
• Pengesanan anomali (kos, pengeluaran, kualiti)
• Gunakan penyelesaian AI praktikal untuk meningkatkan automasi dan pembuatan keputusan

5) Penambahbaikan Proses

• Mengenal pasti ketidakcekapan dalam aliran kerja semasa
• Reka bentuk penyelesaian automatik untuk meningkatkan produktiviti
• Kurangkan kebergantungan kepada intervensi manual dan kakitangan penting
• Memastikan tadbir urus, ketepatan dan kerahsiaan data yang betul dalam semua proses pelaporan dan automasi.

6) Kerjasama

• Bekerja rapat dengan pasukan Kewangan, Operasi dan Pengeluaran
• Terjemahkan keperluan perniagaan kepada penyelesaian teknikal yang praktikal

7) Tugas-tugas Lain

• Sebarang tugasan lain yang diberikan oleh Pengurusan Atasan

Keperluan

• Minimum Diploma atau Ijazah Sarjana Muda dalam Sains Komputer, Kejuruteraan, Sains Data, Kecerdasan Buatan atau bidang berkaitan
• Kemahiran dalam pengaturcaraan Python & SQL dan pengetahuan asas tentang kerangka kerja AI dan pembelajaran mesin
• Pemahaman tentang teknik pemodelan AI, seperti pembelajaran yang diselia dan tidak diselia, dan kebiasaan dengan amalan pembangunan perisian
• Kebolehan menyelesaikan masalah yang kuat dengan kebolehan menganalisis set data dan menyelesaikan masalah teknikal
• Pengalaman langsung dalam penggunaan model & saluran paip hujung ke hujung
• Pengalaman dalam sekurang-kurangnya SATU peramalan/siri masa/visi komputer untuk industri pembuatan atau NLP/automasi.
• Sekurang-kurangnya 5 tahun pengalaman dalam kejuruteraan data.
• Pemikiran analitikal yang kuat dan kebolehan untuk bekerjasama secara berkesan dalam persekitaran berpasukan, dengan komunikasi yang jelas
• Tahap integriti yang tinggi, dengan rasa tanggungjawab yang tinggi dalam mengendalikan data kewangan dan operasi yang sensitif, memastikan ketepatan, kerahsiaan dan penggunaan maklumat yang beretika.

Faedah & Kebaikan

• Elaun (telefon, pengangkutan, dll.)
• Aktiviti pasukan tetap
• Cuti peribadi
• Perlindungan perubatan
• Cuti peribadi
• Peluang pembangunan peribadi
• Latihan dan pembangunan berbayar
• Komputer Riba dan Telefon Bimbit Tempat Kerja disediakan
• Insurans untuk Hospital dan Pembedahan
• Insurans untuk Kemalangan Diri
• Insurans Keyman
• Kenaikan Tahunan
• Bonus Tahunan
• Insentif Produktiviti

關於該職位

推動財務和營運部門的人工智慧驅動自動化和智慧報告，以簡化和自動化報告流程。

該職位旨在減少人工操作、提高報告速度和增強數據準確性，從而使企業能夠更快、更好地做出決策。

該職位要求高度誠信，因為它涉及處理敏感的財務數據並支援對業務至關重要的決策過程。

主要職責：

1）報告和流程自動化（優先關注點）

• 自動產生每周和每月財務報告
• 消除手動 Excel 合併和重複性任務
• 開發標準化且可擴展的報告模板

2）資料管理與管道開發

• 從ERP系統和內部系統中提取和轉換數據
• 確保資料的準確性、一致性和完整性
• 建構和維護用於報告和分析的結構化資料集

3）儀錶板和視覺化

• 開發互動式儀表板（例如 Power BI / Tableau）
• 使管理層能夠獲得近乎即時的洞察
• 提高關鍵KPI（銷售額、成本、利潤率等）的可見性

4）人工智慧與進階分析（逐步實施）

• 開發和部署用於以下用途的 AI/ML 模型：
• 預測（銷售、現金流量、需求）
• 異常檢測（成本、產量、品質）
• 應用實用的人工智慧解決方案來增強自動化和決策能力

5）流程改進

• 找出目前工作流程中的低效率之處
• 設計自動化解決方案以提高生產力
• 減少對人工幹預和關鍵人員的依賴
• 確保所有報告和自動化流程中資料治理得當、準確無誤且保密。

6）協作

• 與財務、營運和生產團隊緊密合作
• 將業務需求轉化為切實可行的技術解決方案

7）其他職責

• 高階管理人員指派的其他任何任務

要求

• 計算機科學、工程、數據科學、人工智慧或相關領域的最低文憑或學士學位
• 精通Python和SQL編程，並具備人工智慧和機器學習框架的基礎知識
• 了解人工智慧建模技術，例如監督學習和非監督學習，並熟悉軟體開發實踐。
• 具備較強的解決問題能力，擅長分析資料集與排除技術故障。
• 具備模型部署和端到端流程的實務經驗
• 至少在製造業預測/時間序列/電腦視覺或自然語言處理/自動化領域中的某一方面有經驗。
• 至少5年數據工程經驗。
• 具備較強的分析思考及團隊協作能力，溝通能力清晰。
• 具有高度誠信，對處理敏感的財務和營運數據有強烈的責任感，確保資訊的準確性、保密性和合乎道德的使用。

福利待遇

• 津貼（電話費、交通費等）
• 定期團隊活動
• 個人休假
• 醫療保險
• 個人休假
• 個人發展機會
• 有薪培訓和發展
• 提供工作筆記型電腦和手機
• 住院及手術保險
• 個人意外保險
• 關鍵人保險
• 年度增量
• 年終獎金
• 生產力激勵

Ringkasan Kerja

Dunia pengurusan data perusahaan untuk mencipta dan menyelenggara seni bina saluran data yang optimum, tugas dan tanggungjawab biasa untuk jawatan Jurutera Data termasuk:

Tanggungjawab Kerja

• Mengumpulkan set data yang besar dan kompleks yang memenuhi keperluan perniagaan yang tidak berfungsi dan berfungsi
• Mengenal pasti, mereka bentuk dan melaksanakan penambahbaikan proses dalaman termasuk mereka bentuk semula infrastruktur untuk skalabiliti yang lebih besar, mengoptimumkan penghantaran data dan mengautomasikan proses manual
• Membina infrastruktur yang diperlukan untuk pengekstrakan, transformasi dan pemuatan data yang optimum daripada pelbagai sumber data menggunakan teknologi Azure, AWS dan SQL
• Membina alatan analitikal untuk menggunakan saluran data, memberikan wawasan yang boleh diambil tindakan ke dalam metrik prestasi perniagaan utama termasuk kecekapan operasi dan pemerolehan pelanggan
• Bekerjasama dengan pihak berkepentingan pelanggan termasuk pasukan data, reka bentuk, produk dan eksekutif serta membantu mereka dengan isu teknikal berkaitan data
• Bekerjasama dengan pihak berkepentingan pelanggan termasuk pasukan Eksekutif, Produk, Data dan Reka Bentuk untuk menyokong keperluan infrastruktur data mereka sambil membantu isu teknikal berkaitan data

Faedah & Kebaikan

• Ekuiti pekerja
• Elaun (upah perjalanan, pengangkutan, dll.)
• Pengangkutan awam berdekatan
• Snek percuma / Waktu gembira
• Aktiviti pasukan tetap
• Perjalanan syarikat
• Insurans perubatan
• Cuti peribadi
• Budaya terbuka
• Peluang pembangunan peribadi
• Latihan dan pembangunan berbayar

職位概述

在企業資料管理領域，資料工程師負責創建和維護最佳資料管道架構，其典型職責包括：

工作職責

• 整合滿足非功能性和功能性業務需求的大型複雜資料集
• 識別、設計和實施內部流程改進，包括重新設計基礎設施以提高可擴展性、優化資料傳輸以及自動化手動流程。
• 利用 Azure、AWS 和 SQL 技術建立必要的基礎設施，以實現從各種資料來源中最佳的資料提取、轉換和載入。
• 建立分析工具以利用數據管道，為關鍵業務績效指標（包括營運效率和客戶獲取）提供可操作的洞察
• 與客戶利害關係人（包括數據、設計、產品和管理團隊）合作，並協助他們解決與數據相關的技術問題。
• 與包括執行團隊、產品團隊、數據團隊和設計團隊在內的客戶利害關係人合作，支援他們的數據基礎設施需求，同時協助解決與數據相關的技術問題。

福利待遇

• 員工權益
• 津貼（旅費、交通費等）
• 附近公共交通
• 免費小吃/歡樂時光
• 定期團隊活動
• 公司旅行
• 醫療保險
• 個人休假
• 開放文化
• 個人發展機會
• 有薪培訓和發展

Job Summary

Enterprise data management world for creating and maintaining an optimal data pipeline architecture, typical duties and responsibilities for a Data Engineer position includes:

Job Responsibility

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with client stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with client stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Perks & Benefits

• Employee equity
• Allowance (travel stipends, transportation, etc.)
• Nearby public transport
• Free snacks / Happy hours
• Regular team activities
• Company trips
• Medical insurance
• Personal leave
• Open culture
• Personal development opportunities
• Paid training and development

Job Summary

We are seeking a detail-oriented and organized Data Entry Clerk to accurately input, update, and maintain data in company systems and databases. The ideal candidate possesses strong typing skills, attention to detail, and the ability to handle confidential information while meeting deadlines.

Key Responsibilities

• Enter, verify, and update data accurately into databases, spreadsheets, and internal systems.
• Review source documents for accuracy and completeness.
• Perform regular data audits and quality checks to ensure data integrity.
• Maintain and organize electronic and physical records.
• Generate reports and retrieve information as required by management.
• Identify and correct data discrepancies or errors.
• Ensure confidentiality and security of sensitive information.
• Collaborate with internal departments to obtain and validate data.
• Support administrative and clerical tasks when required.

Requirements

• Minimum GCE 'N'/'O' Level, Diploma, or equivalent qualification.
• Proven experience in data entry, administration, or clerical support is preferred.
• Proficient in Microsoft Office applications, especially Excel and Word.
• Fast and accurate typing skills.
• Strong attention to detail and organizational abilities.
• Ability to work independently and manage multiple tasks.
• Good communication and interpersonal skills.

Applicants who are keen to apply for this position can click "Quick Apply" or send latest resumes to alex.tang@paradigmrecruitment.com.sg

Alex
EA Reg No: R2197438
EA License No: 21C0434

Work scope, duties and responsibilities

1. Perform Quality administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time

Working Day/ Time : Tuesday to Saturday, 8.30am to 6pm (5 days)

• Perform deep-dive statistical analysis and build machine learning models for tasks like classification, regression, clustering, and recommendation.
• Design, develop, and maintain scalable and efficient data pipelines to automate data collection, cleaning, and feature generation.
• Collaborate with business stakeholders or cross functional team to define problems, identify key metrics, and present data-driven recommendations.
• Develop and implement A/B testing frameworks to validate hypotheses and measure model impact.

• Work with AI Engineers to prepare models for production, providing clean code and well-engineered features.

• Implement governance, quality checks, and compliance standards (PDPA).

• Provide insights to business units through advanced analytics and visualization.

Requirements:

• Advanced degree (Bachelor or Master’s degree) in Statistics, Mathematics, Computer Science, Economics, or another highly quantitative field.
• Minimum of 5+ years of experience in a data science role, with a proven portfolio of projects demonstrating impact.
• Significant experience (3+ years) in data engineering tasks (e.g., building ETL/ELT pipelines, data warehousing).
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills.
• Ability to manage multiple projects and deliverables simultaneously.

Location(s):

Seatrium (SG) Pte. Ltd.

Pioneer Yard

50 Gul Road, Singapore 629353

(Islandwide transport provided)

Working Hours:

Monday – Thursday: 8:00am – 5.15pm

Friday: 8:00am – 4.30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

Job Responsibilities:

• Support data classification and taxonomy methods and standards, understand business, cooperate with data team.
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
• Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions.
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database.
• Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards.
• Participate in the functional optimization design of the annotation platform.

Qualifications:

• Bachelor’s Degree in Computer Science or IT related discipline.
• At least 1 year of working experience in data analyst or DBA, familiar with all kinds of data samples in storage.
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes.
• Willing to perform repetitive tasks effectively with a minimum of errors.
• Knowledge and keen interest in artificial intelligence and machine learning.

Get to Know the Team

The Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. We leverage our datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Our core mission involves analyzing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. To achieve this at scale, we use advanced AI, machine learning, and auto-adaptive systems as powerful tools to enhance our broader risk analysis and decision-making capabilities.

Get to Know the Role

Reporting to the Analytics Manager, you will be an important analytics partner focused on Trust and Safety for a specific Problem Space Team (PST). Your primary focus is to analyze user behavior and product funnels to identify potential risks. You will use our evolving auto-adaptive tools and GenAI capabilities to streamline your daily analytical workflow.

You will base onsite at our Grab Malaysia office.

The Critical Tasks You Will Perform

• Address analytical problems of low to medium complexity, delivering reliable and accurate insights to measure business and product risk performance.
• Analyze user behavior data to identify potential vulnerabilities across different risk domains, including account security, user safety, and content integrity, assisting in the building of anomaly detection systems.
• Ideate on new signals to detect risks, working with stakeholders to develop data-driven rules that mitigate bad actors.
• Use GenAI tools (like Cursor or Gemini) and basic system-thinking to automate routine metric reviews and alerts, freeing up your time for deeper threat investigations.
• Use components of our Auto-Adaptive risk frameworks as tools to help in the operational validation and refinement of safety and risk rules.
• Contribute to foundational data initiatives, such as metric onboarding, data pipeline cleanups, and architectural efficiency, ensuring the data we use for risk detection remains robust and reliable.

About the Role

We are looking for a meticulous and detail-oriented Data Entry Associate to support our Clients, Export Department of a leading global logistics company. This is a 3-month contract role based in Changi South, suitable for entry-level candidates who are organized, quick to learn, and comfortable working in a structured environment.

Key Responsibilities

• Perform accurate and timely data entry of export shipment records into internal systems
• Verify and update shipping documentation and export-related data
• Liaise with internal teams to ensure data completeness and accuracy
• Generate and maintain reports using MS Excel
• Assist with general administrative and operational support for the Export Department

Requirements

• Proficient in Microsoft Excel (e.g. formulas, data sorting, vlookup)
• Good typing speed with a high level of accuracy
• Meticulous, responsible, and able to work independently
• Able to commit to a 3-month contract

Salary: $2,300 per month
Location: Changi South
Working Hours: Monday – Friday, 9:00 AM – 6:00 PM
Contract Duration: 3 months (commitment required)

*On-the-job training provided

• Exposure to the export operations of an established global logistics organization

*We regret that only shortlisted candidates will be notified.*

Liz Ooi Li Chen
EA Registration No.: R1104561
Recruit Express Services Pte Ltd
EA Licence No.: 13C6614

Job Summary

Role: Data Engineer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking an experienced Data Engineer with 6+ years of expertise in enterprise data warehouse (EDW), ETL/ELT development, and big data engineering. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and frameworks across Teradata-based data warehouse environments and modern Hadoop ecosystem platforms.

This role requires strong hands-on experience in ETL development using Informatica PowerCenter, Teradata SQL, and Spark, along with deep exposure to data pipeline automation, performance tuning, and CDC (Change Data Capture) frameworks. The candidate will also contribute to building enterprise-grade data ingestion, transformation, and governance solutions supporting both structured and semi-structured data across complex enterprise systems.

Requirements:

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

- Minimum 6+ years of experience in Data Engineering, ETL development, or Enterprise Data Warehouse environments.

- Strong hands-on experience in Teradata SQL and EDW/ETL development.

- Proven experience with Informatica PowerCenter for enterprise ETL development.

- Strong experience with Hadoop ecosystem technologies (Apache Spark, Hive, Kafka, NiFi, Iceberg, Impala, etc.)

- Strong expertise in performance tuning and optimization of large-scale data pipelines.

- Hands-on experience with shell scripting, BTEQ, and automation frameworks.

- Strong understanding of data pipeline orchestration and workflow automation.

- Experience with CDC (Change Data Capture) concepts, preferably with Java-based implementation.

- Experience building frameworks for data ingestion, transformation, and automation in enterprise environments.

- Strong understanding of data modeling, ETL design patterns, and data warehousing concepts.

- Experience working with enterprise systems such as SAP (Oracle) for data integration.

- Experience with Master Data Management (MDM) solutions including data validation and approval workflows.

- Strong analytical, problem-solving, and debugging skills.

- Experience working in Agile or enterprise-scale delivery environments.

Roles and Responsibilities:

- Design, develop, and maintain ETL/ELT processes using Teradata SQL, Informatica PowerCenter, Apache Spark, QueryGrid, and Trino.

- Build and optimize data pipelines to load and transform data into Teradata-based data warehouses and data marts.

- Develop and implement scalable data engineering frameworks to support end-to-end automation using GCFR, BTEQ, and shell scripting.

- Perform performance tuning and optimization of complex ETL jobs and data processing workflows to reduce resource consumption and improve efficiency.

- Build and maintain in-house CDC (Change Data Capture) frameworks using Java to process OLR logs from SAP (Oracle) systems and ingest data into Teradata.

- Design configurable and reusable CDC ingestion frameworks to support enterprise-wide data integration requirements.

- Develop and support Master Data Management (MDM) solutions for user data uploads, including data validation, enrichment, and approval workflows.

- Work with Hadoop ecosystem technologies including Hive, Impala, Spark, Kafka, Iceberg, NiFi, Ranger, Atlas, and Flink for data ingestion, processing, and governance.

- Implement data pipeline orchestration and scheduling mechanisms to ensure reliable and timely data delivery.

- Collaborate with business, analytics, and application teams to translate requirements into scalable data engineering solutions.

- Ensure data quality, consistency, and governance across enterprise data platforms.

- Support troubleshooting, root cause analysis, and production issue resolution for data pipelines and ETL processes.

- Continuously improve data engineering standards, frameworks, and automation capabilities.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, License No. 07C4453]

[2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]

Employment type - 1-year contract (Renewable)

Eligibility: Singaporean only

Role Overview

As a Data Engineer, you will design, build, and operate scalable, secure, and high-performance enterprise data platforms and ETL pipelines that enable analytics, reporting, and data-driven decision making. You will play a key technical role in delivering end-to-end data pipelines, analytics platforms, and integration solutions across hybrid and cloud environments, including Government Commercial Cloud (GCC) and MINDEF Commercial Cloud (MCC).

You will work closely with data and solution architects, business stakeholders, and infrastructure teams to translate requirements into robust, production-grade data solutions.

Job Responsibilities

1.     Data Engineering &Platform Design

·      Design and develop scalable and reliable data pipelines.

·      Build enterprise data platforms, including data warehouses, data lakes, and lake houses.

·      Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

2.     Data Integration &ETL/ELT

·      Lead ETL/ELT pipeline development with Talend as a core and highly preferred platform. Experience with other ETL/ELT tools will be considered.

·      Integrate structured, semi-structured, and unstructured data sources.

·      Implement and maintain data quality, validation, and error-handling frameworks.

3.     Storage & Data Management

·      Design and manage data storage solutions with a strong emphasis on object storage, data quality, and data governance.

·      Implement and maintain data lifecycle management and cost-optimization strategies.

·      Ensure data lineage, traceability, and auditability.

4.     Analytics Enablement& BI Integration

·      Engineer analytics-ready data models for reporting and self-service analytics.

·      Enable BI Dashboards, Reports, and analytics through performant and governed data pipelines.

5.     Security, Governance& Compliance

·      Ensure compliance with government security and privacy requirements.

·      Implement and maintain encryption, access controls, and secure data handling practices.

·      Implement and maintain security policies and procedures for the system

Job Requirements

Education - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Core Technical Skills

• Strong hands-on data engineering experience
• Expertise in ETL/ELT with Talend (highly preferred)
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems
• Qlik Sense Enterprise integration experience (highly preferred)
• Strong SQL and Python skills

Experience & Security Requirements

• Minimum 3+ years of experience in enterprise data engineering roles
• Prior CAT 1 / G50 security clearance(mandatory)
• Previous experience delivering MINDEF projects (mandatory)