Total 4,212 data entry clerk job vacancies in Singapore

About the Role

We are looking for a Streaming Data Engineer to design and build scalable real-time data pipelines and streaming data platforms. This role focuses on building high-throughput, low-latency data systems capable of processing large-scale event streams and enabling real-time analytics.

Key Responsibilities

1. Design and develop real-time streaming data pipelines

2. Build event ingestion systems using Kafka or similar messaging systems

3. Implement stream processing jobs using Flink / Spark Streaming

4. Develop scalable stream processing jobs

5. Build and optimize real-time analytical databases

6. Build and maintain data pipelines supporting both batch and streaming workloads

7. Support real-time dashboards and data APIs

8. Implement monitoring and alerting for streaming pipelines

9. Work closely with Data Scientists, Data Analysts, Backend Engineers, and Platform Engineers

What We’re Looking For

1. 3–6 years of experience in Data Engineering / Backend Engineering

2. Experience with real-time analytical databases (Starrocks / Clickhouse / Doris)

3. Experience with streaming data technologies (building distributed data systems)

4. Proficiency in Python / Java / Scala / SQL

5. Apache Kafka / Apache Flink / Spark Streaming

What We Offer

1. A collaborative and inclusive work environment.

2. Opportunities for professional growth and development.

3. The chance to play a pivotal role in shaping the future of our organization.

Job Description

• Work independently as a Data Engineering pipeline developer, either in Databricks or in INFORMATICA IDMC.
• Very Strong in Data Management and ETL concepts
• Very Strong in SQL or Python/PySpark
• Ability to monitor pipeline/ETL job loads and troubleshoot and fix

Requirements & Qualifications

• Experience: 2 – 5 Years
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks/Hadoop platform.
• 1-3 years of experience in INFORMATICA IDMC/PowerCenter Services (OR) 1-3 years of experience in Spark, Python, PySpark and SQL.
• Certified Data Engineer from Databricks or a Professional Cet. is an added advantage.
• Good understanding of developing data warehouses, data marts, etc.

Experience:

• Minimum 4–6 years of experience
• Strong experience in data cleaning and transformation using tools such as SQL, Python (Pandas), or R to ensure data accuracy and consistency.
• Hands-on experience in building and maintaining ETL/ELT pipelines using technologies like SSIS, AWS DMS, AWS Glue, Python, AWS Lambda, ECS, EventBridge, or Spring.
• Good knowledge of database design and experience working with databases such as PostgreSQL, MySQL, MongoDB, Cassandra, SQLite, Athena, and AWS S3.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience developing production-grade data pipelines and data integration solutions in big data environments.
• Understanding of system design, data structures, and algorithms.
• Familiar with data architecture concepts including Data Lakes, Data Warehouses, Data Marts, and Data Virtualization for efficient data storage and access.

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

About Us

Tentacle Tech is an IT and software development consulting company serving some of Malaysia's largest enterprises. We deliver technology solutions, software development services, and IT consulting across multiple industries. We are looking for a talented professional to join our growing team in the technology sector.

The Role:

We are seeking a motivated Data Engineer to join a dynamic team working within the technology sector. This is a great opportunity for an early-career professional looking to build a solid foundation in data engineering within a fast-paced, enterprise-level environment.

What You'll Do:

• Design, build, and maintain scalable data pipelines and workflows

• Integrate and transform data from multiple sources for downstream use
• Support data warehousing and storage solutions
• Collaborate with cross-functional teams to understand data requirements
• Ensure data quality, integrity, and reliability across systems
• Document data processes and contribute to best practices

What We're Looking For:

• Degree in Computer Science, Data Engineering, or a related field
• Understanding of core data engineering concepts and principles

• Familiarity with SQL and at least one scripting language such as Python
• Exposure to ETL processes and data pipeline development
• Strong analytical and problem-solving skills
• Fresh graduates are welcome and encouraged to apply
• Ability to work effectively in a team environment

What We Offer:

• Competitive salary
• Hands-on experience within the technology sector
• Mentorship and guidance from experienced professionals
• Structured career progression opportunities
• Supportive and collaborative team culture
• On-the-job training to develop your technical skill set

How to Apply:

Apply now with your latest CV or reach out to our recruitment team to learn more.

The Data Analyst will be a critical part of our team, responsible for transforming complex data into actionable insights that drive business decisions. The role is expected to leverage analytical expertise to design and produce comprehensive dashboards and reports, identify data quality issues proactively, and communicate findings clearly to diverse stakeholders. This role requires a strong blend of technical skills, business acumen, and an ability to translate data into compelling narratives.

This position offers growth opportunities in:

·      Developing expertise in advanced analytics techniques and business intelligence tools

·      Building strong relationships with stakeholders across different business units

·      Contributing to data-driven decision making that impacts commercial outcomes

·      Expanding technical skills in emerging areas like AI/ML applications and automation

Essential Duties and Responsibilities:

Dashboard & Report Development

·       Independently define complex business problems from a technical and analytical perspective.

·       Support business requirements gathering by participating in stakeholder meetings and translating business needs into technical specifications

·       Contribute to the development of analytical frameworks and methodologies under guidance from senior analysts

·       Align business requirements with stakeholders, define key metrics, and develop comprehensive business intelligence solutions (e.g., interactive dashboards and detailed reports) to fulfill requirements.

·       Build and maintain automated reporting solutions that deliver consistent, timely insights to business users

Data Communication & Presentation

·       Communicate and story tell results and insights to stakeholders effectively, driving understanding and action.

·       Create business insights proactively and share actionable recommendations with stakeholders, influencing strategy and operational improvements.

·       Prepare executive summaries and data narratives that highlight key findings and recommendations

·       Support senior team members in presenting complex analytical findings to leadership teams

Technical Implementation & Development

·       Individual Contributor – producing data analysis, calls, and requirements production (SQL, Python, Metabases, Power BI, etc.) while following established coding standards and best practices

·       Develop and maintain SQL queries, Python scripts, and other analytical tools to support regular reporting needs

·       Contribute to the improvement of existing analytical processes and tools through code optimization and documentation

·       Independently plan and develop data product features & solutions with minimal direction, demonstrating strong ownership and problem-solving.

Customer Journey & Behavioral Analytics

·       Quantify the end-to-end customer journey using advanced analytical techniques to increase conversion and engagement, providing data-backed recommendations.

·       Analyze user behavior patterns, conversion funnels, and customer segmentation to identify opportunities for improvement

Project Coordination & Delivery

·       Act as a key point of contact for specific markets or business units to plan and organize all data-related intakes and project pipelines.

·       Track project progress and communicate updates to stakeholders according to established timelines

·       Coordinate effectively with data engineering, development, and product teams to define data requirements, advocate for necessary tooling, and ensure data availability for robust analytics & insights.

·       Produce sophisticated dashboards, reports, and analytics independently.

·       Proactively understand, ensure, and govern data quality across various datasets.

·       Troubleshoot complex data quality issues, identifying root causes and proposing robust, scalable improvement suggestions.

Cross-Team Collaboration

·       Clearly communicate business requirements and analytical insights to stakeholders, defining scope, deliverables, and potential impacts.

·       Proactively define project workstreams and data solutions by directly collaborating with other teams.

·       Define problems and propose solutions based on experience and active listening.

·       Participate in technical discussions and provide analytical perspective on data requirements and system capabilities.

Data Quality Management & Monitoring

·       Monitor data quality metrics and alert senior team members to potential issues requiring investigation

·       Contribute to data quality improvement initiatives by identifying patterns and suggesting process enhancements.

·       Escalate critical data issues to appropriate team members while providing detailed analysis of impact and potential solutions.

Get to Know the Team

The Metrics Platform team is a team within Grab's Data Technology organization, with members across Singapore, Indonesia, Thailand, Vietnam and Malaysia. We build the central platform for metrics that enables Grabbers across the company to define, serve, discover, and consume trusted business and product metrics at scale. Our platform is an important foundational layer for Grab's AI-powered data ecosystem. By making metrics reliable, reusable, discoverable, and served across teams, we help power better analytics, experimentation, automation, and AI-assisted data workflows across Grab.

Get to Know the Role

The Senior Data Engineer role in the Metrics Platform team is a hybrid data and software engineering role. You will be an important member of the team that designs, builds, and operates Grab's metrics platform across metric serving, ingestion, metadata, query generation, platform APIs and several cross platform integrations. You will be responsible from technical design and implementation to rollout and production operations. You will contribute hands-on while guiding engineering quality through design reviews, operational improvements, and collaboration with partner teams.

You will report to the Senior Data Engineering Manager and will be based onsite at our office in Petaling Jaya.

The Critical Tasks You Will Perform

• You will build platform capabilities that help teams model, publish, discover, and consume trusted metrics and data products across Grab.
• You will develop and improve platform services, APIs, metadata systems, query generation, and tooling used by metrics publishers and consumers.
• You will collaborate with engineering, analytics, and data science teams to onboard new use cases and integrate their systems with the metrics platform.
• You will improve the developer and data practitioner experience by building self-serve workflows, automation, documentation, and operational tooling.
• You will operate and optimize the core metrics serving infrastructure, including Apache Pinot, ingestion systems, and related cloud services.
• You will investigate and resolve platform reliability, performance, and correctness issues across the request, query, metadata, and serving layers.
• You will provide technical guidance to engineers and partner teams on platform design, data modeling, integration patterns, and operational best practices.
• You will use AI-powered coding, analytics, and data engineering tools responsibly to accelerate development, debugging, documentation, testing, and data investigation.