Total 696 data entry job vacancies in Singapore

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.

• Data-centre Typology: To front projects and provide technical leadership and governance, supporting work winning, design, and multi-disciplinary delivery for Singapore markets
• Develop architectural concepts, designs, feasibility studies that meet client requirements
• Act as the key point of accountability, aligning client requirements with technical execution and team performance
• Managing budgets and risks, and ensuring high-quality delivery while balancing client and internal needs

If the role resonates with you and your professional experience complements the responsibilities listed, send your resume to koh.dickson@bayesrecruitment.com

Dickson Koh, EA Registration R1103367

www.bayesrecruitment.com

Key Responsibilities

·      Lead the design and implementation of ESG data, reporting, and analytics solutions across the organization.

·      Define technical architecture, data models, and integration frameworks for ESG data platforms.

·      Collaborate with business stakeholders, sustainability teams, and technology teams to translate ESG reporting requirements into scalable technical solutions.

·      Provide technical leadership to data engineering, analytics, and data science teams throughout the solution lifecycle.

·      Drive the development of ESG dashboards, KPIs, scorecards, and performance monitoring frameworks.

·      Oversee the ingestion, transformation, validation, and management of ESG datasets, including carbon emissions, sustainability metrics, and regulatory reporting data.

·      Establish and enforce ESG data governance, data quality, metadata management, and reporting standards.

·      Ensure ESG solutions align with global reporting frameworks and regulatory requirements, including GRI, SASB, TCFD, ISSB, and other emerging standards.

·      Review technical designs, code, and implementation approaches to ensure scalability, reliability, and maintainability.

·      Lead system integration efforts across internal and external ESG data sources and reporting platforms.

·      Support advanced analytics initiatives, including predictive modeling, sustainability insights, and ESG risk analysis.

·      Manage technical delivery, project planning, risk management, testing, and production deployments.

·      Mentor technical team members and promote best practices in data engineering, analytics, and ESG technology solutions.

·      Act as the primary technical advisor for ESG-related initiatives and stakeholder engagements.

Required Skills and Experience

·      Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Sustainability, Finance, or a related discipline.

·      5+ years of experience in data, analytics, or technology delivery roles, with at least 2 years in a technical leadership capacity.

·      Strong understanding of ESG concepts, sustainability reporting frameworks, and regulatory requirements.

·      Proven experience designing and delivering enterprise-scale data and analytics solutions.

·      Strong expertise in data architecture, data modeling, ETL/ELT processes, and data governance frameworks.

·      Hands-on experience with data visualization and analytics platforms such as Power BI or Tableau.

·      Proficiency in SQL and working knowledge of Python or R for data analysis and automation.

·      Familiarity with cloud-based data platforms and modern data engineering technologies.

·      Experience leading cross-functional teams within Agile delivery environments.

·      Strong knowledge of data quality, master data management, and reporting controls.

·      Excellent stakeholder management, communication, and leadership skills.

·      Ability to bridge business objectives with technical implementation and drive successful project outcomes.

Preferred Qualifications

·      Experience within financial services, banking, consulting, or sustainability-focused organizations.

·      Exposure to ESG data providers, sustainability reporting platforms, or regulatory reporting systems.

·      Knowledge of machine learning, predictive analytics, or advanced statistical modeling techniques.

·      Relevant certifications in ESG, sustainability reporting, cloud technologies, or data management are advantageous.

Job Duties & Responsibilities:

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

Act as the key local expert and lead user for planning-relevant master data, ensuring high consistency, quality and reliability of data used in Blue Yonder to support holistic planning of the semiconductor production network.

Serve as a critical interface between business, specialty departments, IT, and external IT service providers, driving further development, stabilization and continuous improvement of master data and planning IT solutions.

Utilize cost advantages of LCL.

• Drive end‑to‑end planning master-data quality and governance, ensuring reliable, usable data across business functions
• Act as technical lead for analytics and data solutions (Power BI, SQL Oracle/MSSQL, KNIME, databases, web/UI tools)
• Responsible for maintenance and enhancement of master data applications and UIs (e.g. Tivity) aligned with business needs
• Drive dashboards and advanced analytics to enable planning excellence, transparency, and self‑service insights
• Lead root cause analysis of complex data issues, implementing sustainable, preventive solutions
• Define, monitor and improve data governance frameworks, validation rules, workflows, KPIs and operating models
• Identify data quality trends and drive automation, structural improvements and scalability
• Ensure data solutions effectively support planning processes (demand planning, logistics interfaces, master data flows)
• Manage global and local stakeholder expectations, priorities and dependencies with clear, business‑oriented communication
• Motivate and develop the team by setting technical standards, best practices and ways of working
• Foster a culture of ownership, continuous improvement, analytical thinking and knowledge sharing
• Lead and contribute to PJM1‑SO projects, driving innovation, efficiency and advanced analytics adoption

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

·      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

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

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

As a Senior Data Engineer, you will be working on:

•      Translate data requirements from business users into technical specifications.

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

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

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

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

•       Construct, test, and update useful and reusable data models based on data needs of endusers.

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

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

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

•      Maintain data catalogue to document data assets, metadata and lineage.

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

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

What we are looking for:

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

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

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

• Experience with Databricks.

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

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

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

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

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

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

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

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

Interested candidates, please send your CVs on nabilah.azman@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

This will be a 2-years direct contract position.

Responsibilities

• Translate strategic direction into actionable digital transformation and delivery plans for ML/AI initiatives.
• Oversee architectural decisions that enable scalable analytics capabilities
• Ensure that technical standards and responsible AI frameworks are consistently applied.
• Define divisional outcomes and OKRs in alignment with goals.
• Develop long-term roadmaps, and drive their execution across teams.
• Identify and remove systemic inefficiencies, anticipate risks, and take decisive action to navigate challenges.
• Build strategic cross-functional partnerships.
• Champion a culture of continuous improvement, open communication, and innovation.
• Build and manage a high-performing team.
• Coach people managers, scientists and engineers.
• Set hiring standards and lead recruitment efforts to bring in and develop top talent.
• Conduct regular 1:1s with direct and indirect reports.
• Gather feedback on team health and create the infrastructure and environment for consistent, motivated performance.

Requirements

Deep expertise in

• Satellite data exploitation, cloud infrastructure deployments and government security requirements.
• Data analytics, database management, and software development.
• Strong communication, interpersonal, and presentation skills.
• Able to think strategically and translate complex technical concepts into clear, actionable plans is important.
• Satellite mission control software, space systems, orbital analysis tools, and space weather monitoring highly advantageous.
• Experience in program development and management is highly advantageous.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Job Summary

· Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and software.

· Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

· Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Key Requirements

Skills:

· Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

· Knowledge of Power Automate is a plus.

Experience & qualifications

· Minimum 4-7 years of relevant experience for Senior Executive level.

· Proven, data-driven marketing, campaign executive, and lead-generation experience.

· Demonstrated leadership potential: able to set direction, guide sales priorities and actions, and drive execution.

· Minimum Bachelor’s degree. Degree in Marketing, Business and Engineering will be prioritized.

Personal qualities

· Proactive in proposing ideas for sales performance improvement

· Curious to investigate the reasons behind any outcomes

· Purpose-driven mindset, always questioning the 'why' behind actions

· High hospitality standards, akin to a first-class hotel, understanding and anticipating others' needs

· Ready to take immediate action

· Meticulous and likes to double-check completed assignments, committed to thoroughness in achieving decided objectives

What We Offer

· Culture: Empowerment within the scope of data performance, flat hierarchy, respect for frontliners' opinions, teamwork in problem-solving

· Environment: A hardworking and talented team, a company where diligent and steady performers thrive, rational and grounded in reason