Total 4,704 Others data entry job vacancies

Role Overview:
We are looking for a Principal Systems Analyst, Data Platform to support the stability, modernisation, and continuous improvement of enterprise data platforms. The role will oversee data platform operations, release management, performance monitoring, service improvement, and governance across data warehousing, ETL pipelines, analytics environments, and cloud-based platforms.

The successful candidate will play a key role in driving platform modernisation, including cloud adoption, AI-driven automation, CI/CD implementation, and scalable analytics solutions. This role will also provide technical leadership, mentor team members, and work closely with stakeholders to ensure data platforms remain secure, reliable, compliant, and aligned with business needs.

Key Responsibilities:
1) Operations & Service Management

• Oversee the stability, scalability, and reliability of enterprise data platforms.
• Ensure smooth integration of data warehousing, ETL pipelines, and analytics environments.
• Act as the subject matter expert for troubleshooting and resolving complex data platform issues.
• Monitor platform performance, availability, and capacity to identify and mitigate operational risks.

2) Service Improvement & Strategy

• Evaluate existing data platform capabilities and recommend improvements to enhance performance and efficiency.
• Drive modernisation initiatives, including cloud-native services and AI-driven automation.
• Align data platform strategy with organisational goals for digital transformation and advanced analytics.
• Identify opportunities to improve platform operations, automation, governance, and user adoption.

3) Release, Change, Performance & Availability

• Manage release cycles, upgrades, and change requests across data platform components.
• Implement and support CI/CD pipelines to streamline deployments and reduce downtime.
• Monitor platform performance, availability, and capacity trends.
• Proactively identify risks and recommend improvements to platform resilience and reliability.

4) People & Technical Leadership

• Provide technical leadership and mentorship to analysts, engineers, and consultants supporting the data platform.
• Collaborate with cross-functional teams to ensure platform solutions meet business and operational needs.
• Lead stakeholder workshops and training sessions to improve data literacy and platform adoption.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.

5) Governance, Risk & Compliance

• Ensure compliance with data governance frameworks, privacy regulations, and industry standards.
• Establish and maintain documentation, audit trails, and policies for platform operations and automation workflows.
• Identify and mitigate risks relating to data integrity, platform reliability, security, and compliance.

Requirements:

• Strong experience in systems analysis, SQL, data warehousing, data platforms, and business intelligence tools.
• Hands-on experience with BI tools such as Qlik, Tableau, or Power BI.
• Proficiency in Python, machine learning concepts, and MLOps practices for scalable analytics solutions.
• Experience with RPA tools such as UiPath and Microsoft Power Platform, including Power Automate, Power Apps, and Microsoft Fabric.
• Strong understanding of ETL, data modelling, and data governance frameworks.
• Exposure to CI/CD pipelines and cloud data platforms such as Azure Synapse, AWS Redshift, or Google BigQuery.
• Excellent communication, stakeholder management, and data storytelling skills.
• Healthcare domain experience will be advantageous.
• PMP or Scrum Master certification will be advantageous.
• Experience in AI/ML-driven automation and advanced analytics use cases will be advantageous.

Preferred:

• Healthcare domain experience
• PMP or Scrum Master certification
• Experience in AI/ML-driven automation and advanced analytics use cases

·      Administer and manage Redis clusters for low-latency caching and real-time transaction processing.

·      Manage MongoDB clusters (replication, sharding) for scalable transaction and semi-structured data storage.

·      Working knowledge of Hadoop ecosystem (Hadoop, Hive, Pig, Oozie, Hbase, Flume, sqoop) using both automated tool sets as well as manual processes.

·      Support and maintain Hadoop (HDP)clusters for batch processing, analytics, and regulatory reporting.

·      Perform cluster lifecycle management provisioning, scaling, patching, and decommissioning nodes.

·      Ensure 24x7 availability and resilience of production systems supporting payment flows.

·      Manage and optimize Apache Kafka for high-throughput, real-time payment event streaming.

·      Support Apache NiFi for ingestionpipelines from upstream payment systems and external partners.

·      Work with AWS EMR for scalableprocessing of transaction data and reconciliation workloads.

·      Administer HDFS, ensuring optimal replication,storage utilization, and fault tolerance.

·      Manage OpenSearch / Elasticsearchclusters for transaction search, audit trails, and operational dashboards.

Required Skills & Experience

·      6–8 years of experience in Big Data / DataPlatform Engineering in enterprise environments.

·      Strong hands-on experience with:

·      Hadoop ecosystem (HDFS, YARN, MapReduce, HDP)

·      Apache Kafka (high-throughput environments)

·      Redis and MongoDB clusters

·      OpenSearch / Elasticsearch

·      Apache NiFi

·      AWS EMR + good knowledge of AWS Cloud.

·      Strong expertise in Linux system administration and scripting (Shell/Python)

·      Experience with Kerberos, data security, and access governance

·      Proven experience in handling high-volume, low-latency systems (preferably payments/trading) 

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

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

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

•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.

Python Developer / Lead (Data Projects) [Contract]

Location: Singapore
Contract Type: 12-Month Contract (Renewable)
Keywords: Python, Data Engineering, API Development, Financial Applications, Asset Management, Cloud

Role Overview:

This is an opportunity within a leading investment technology environment, focused on delivering data-driven applications and integration solutions across trading and portfolio management platforms. The successful candidate will play a key role in modernizing legacy systems, enhancing automation and analytics workflows, and building scalable Python-based solutions to support investment decision-making and operational efficiency.

Key Responsibilities:

• Design, develop, and maintain Python-based applications for asset management.
• Work on data processing, automation, and analytics for investment and trading teams.
• Develop and maintain APIs for data integration and system interoperability.
• Collaborate with quants, portfolio managers, and analysts to develop technology-driven solutions.
• Support and enhance existing applications built with .NET (C# or VB.NET) as needed.
• Optimize code performance and ensure scalability for large datasets.
• Implement cloud-based solutions (AWS, Azure, or GCP) for enhanced performance.
• Ensure compliance with financial industry security and regulatory standards.

Key Requirements:

• 5+ years of experience as a Python Developer, preferably in the financial or asset management industry.
• Strong knowledge of Python frameworks such as Django, Flask, or FastAPI.
• Good understanding of data structures, algorithms, and object-oriented programming (OOP).
• Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB).
• Background in other technologies is a plus.
• Familiarity with financial instruments, risk modeling, and asset management concepts.
• Knowledge of DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, or GCP).
• Understanding of financial data providers (Bloomberg, Reuters, FactSet).
• Knowledge of big data technologies (Spark, Hadoop) is an advantage.

If this role aligns with your experience and career goals, please apply to this role

Our client is a well-established MNC specializing in precision manufacturing and engineering solutions, supporting customers across various industries globally. Due to their current expansion plan, they are looking for a Key Account Specialist (Entry Level) – Engineering to join their commercial team. They are located in the (West) – easily accessible.

Responsibilities for Key Account Specialist (Entry Level) :

• Manage assigned customer accounts and act as the main point of contact for commercial matters

• Coordinate RFQs, quotations, costing submissions, and follow-up activities

• Support account growth through new program opportunities and product expansion initiatives

• Liaise with engineering, operations, quality, and production teams on customer requirements

• Track project milestones, sample builds, engineering deliverables, and program timelines

• Coordinate customer requests, project updates, and issue follow-ups across multiple manufacturing sites

• Support new product introduction (NPI) activities and project handovers to operations

• Maintain quotation records, sales pipelines, account documentation, and forecasting updates

• Monitor customer complaints, corrective actions, and resolution progress with internal teams

• Assist in preparing business proposals, account reviews, presentations, and commercial reports

• Support cross-site coordination activities involving Singapore, Malaysia, and China operations

• Follow up on opportunity pipelines and support conversion of projects into mass production programs

Requirements:

• Diploma or Degree in Engineering, Business, or related discipline

• Candidates with 1–3 years of relevant experience in account management, sales coordination, customer support, or manufacturing environments are advantageous

• Exposure to precision plastics, tooling, Electronic Manufacturing Services (EMS), or contract manufacturing industries will be an added advantage

• Familiar with RFQ processes, quotations, project coordination, and customer support functions

• Training Provided

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: job•@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Job Description:

• Handling of 360 HR recruitment matters
• Assist in HR operations
• Conducting face to face/ online interviews with prospective applicants
• Coordination of interviews
• Provide support to the HR executives and other related departments
• Handle any admin duties assigned by supervisor

Job Requirements:

• Min Degree in any discipline
• Good interpersonal skills
• Training will be provided
• Driven individual and sales oriented

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

Our client is a Japan MNC MNC. Due to business needs, they are now recruiting a Retail Assistant to be part of their Team for ongoing transformation projects. They are located in the East (Aljunied)

Location: Aljunied

Salary: $1,900 -$2,200 + AWS + VB + OT Pay

Working Hours: 5.5 days, Mon-Fri 8am - 5pm, Sat 8am - 12pm

Job Description:

• Assist walk-in customers with product information and basic sales support
• Prepare paint colours based on orders and customer requirements
• Arrange and restock products in the store
• Keep the shop clean and follow safety rules
• Support stock count and daily store operations

Requirements:

• No experience required (training provided)

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.

Email Address: jobs@recruitpedia.sg

EA License No: 19C9682
EA Personnel No: R25157233
EA Personnel Name: Loh Pooi Keng

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

This entry-level position offers an opportunity to gain practical experience while developing valuable skills in communication, customer engagement, and campaign execution.

You will work closely with a supportive team and mentors who will guide you through the fundamentals of marketing, sales strategy, and client representation.

What You’ll Be Doing

• Plan and Execute Marketing Campaigns; Optimising and Driving real results
• Lead Marketing Teams with Example; Deliver Excellence as a whole
• The Voice of our Clients; Create meaningful customer engagement experiences
• Develop Communication, Confidence, Leadership Skills and Talent Management

What’s in It for You

✈️ We’re Expanding — and We Want You!

New projects, new countries, new opportunities. We’re growing fast and looking for new faces to join our team.