1,264 Data Engineer jobs in Singapore

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Work type: Permanent
Categories: Infocomm Technology

About the Role

We are seeking a skilled Data Engineer to join the Insights, Digitalization & Analytics department. The ideal candidate will design, develop, and maintain scalable data solutions to drive analytics, machine learning, and business insights. Responsibilities include building data pipelines, APIs, and dashboards, deploying Machine Learning projects, and leveraging big data technologies and cloud platforms.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines, API endpoints, and data applications across cloud and on-premise environments, integrating internal and external data sources, including web scraping of public data (ensuring compliance).
• Monitor, optimize, and maintain data quality, performance, and availability through data cleansing, transformation, and deployment of scalable solutions.
• Design, implement, and manage Azure cloud infrastructure to support scalable and secure deployment of cloud-native applications, including configuration of networking, storage, compute resources, and identity management. Ensure alignment with best practices for performance, cost optimization, and security compliance.
• Implement CI/CD pipelines, automate deployments, and ensure scalability and performance for data and Machine Learning (ML)/AI solutions.
• Create and optimize interactive dashboards to visualize business metrics, collaborating with stakeholders to design user-friendly interfaces and integrate them with backend data pipelines.
• Collaborate with Data Scientists to deploy, monitor, and maintain ML/AI projects in production systems.

Requirements

• Possess a bachelor’s degree in Computer Science, Computer Engineering, or a related field (specialization in Software Engineering is a plus).
• 2–3 years of experience in data engineering or software engineering with expertise in data warehousing, big data platforms, cloud technologies, and automation tools
• Strong data analysis, data verification and problem-solving abilities.
• Analytical, meticulous, and team player.
• Effective communication skills for collaboration across teams.
• Ability to manage multiple tasks in a dynamic environment.
• Self-motivated and possess initiative to learn new skills and technologies.

Technical Skills required:

• Proficiency in data warehouse design including relational databases (MS SQL Server), NoSQL, and ETL pipelines using Python or ETL tools (e.g., Microsoft SSIS, Informatica IPC) and data warehousing concepts, database optimization, and data governance.
• Familiarity with Python web application and API development tools (e.g., Flask, Requests) and web scraping tools (e.g., BeautifulSoup, Scrapy).
• Skilled in Power BI, including DAX and Power Query, for creating reports and dashboards.
• Experience with architecting and implementing Microsoft Azure services, including Azure Data Factory, Data Lake Storage, App Service, and Azure SQL, as well as CI/CD pipelines using Azure DevOps.
• Knowledge of Machine Learning tools (e.g., AutoML platforms like Azure AutoML or DataRobot) and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
• Familiarity with big data technologies (e.g., Hadoop, Hive, Spark) and Databricks platform.

Advertised: 01 Oct 2025
Applications close: 31 Dec 2025

Join to apply for the Data Engineer role at Epergne Solutions

Responsibilities include:

• Lead discussions with stakeholders to understand business challenges and translate them into AI/ML projects.
• Design and develop ML models (CV, NLP, Recommendation, Synthetic AI) for real-world applications.
• Manage the end-to-end product lifecycle – concept, design, prototyping, testing, deployment, and operationalisation.
• Perform technical assessments on AI research, technologies, and trends for industry adoption.
• Work with cross-functional teams (product owners, engineers, industry partners, research institutes) for collaborative delivery.
• Conduct model deployment on cloud, mobile, and IoT environments.
• Present findings, refine solutions based on feedback, and manage project timelines.
• Follow agile software development best practices, ensuring documentation, secure coding, and scalability.
• Transfer AI technologies to industry partners for adoption.

Job Skills & Requirements:

• Postgraduate / Ph.D. in Engineering, Computer Science, Mathematics, or Statistics.
• Strong technical expertise in AI/ML with focus on Computer Vision, NLP, Recommendation Systems, Synthetic AI.
• Proficient in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).
• Hands-on experience in building, training, and deploying ML models.
• Knowledge of AI deployment on mobile and IoT devices.
• Experience in stakeholder management and agile project management.
• Strong analytical, problem-solving, and communication skills.

Mid-Senior level

Full-time

Information Technology

Industries: IT Services and IT Consulting

Are you passionate about turning data into actionable insights? We're looking for a skilled and motivated Data Engineer to join our team in Singapore . If you're experienced with Dataiku and Tableau , and thrive in a collaborative, fast-paced environment—this role is for you!

About the Role

You'll be responsible for designing, building, and maintaining robust data pipelines and analytics solutions that empower data-driven decision-making across the organization.

Responsibilities:

• Develop and optimize data pipelines and workflows using Dataiku
• Create and maintain interactive dashboards with Tableau
• Collaborate with cross-functional teams to deliver scalable solutions
• Perform data preparation and cleansing to ensure quality and integrity
• Resolve data-related issues and optimize database performance
• Document data processes, pipelines, and dashboards thoroughly

Requirements:

• Bachelor’s degree in Computer Science, Data Science, IT, or related field
• 3–4 years of experience in data engineering
• Proficiency in Dataiku and Tableau
• Strong skills in SQL , Python , or R
• Solid understanding of data modeling, databases, and data warehousing
• Excellent problem-solving skills and attention to detail

We offer a Mid-Senior level Contract position in Information Technology.

We are seeking a skilled and motivated Data Engineer to join our team in Singapore. This onsite role requires expertise in Dataiku and Tableau to design, build, and maintain robust data pipelines and analytics solutions that enable data-driven decision-making.

About the Role

The successful candidate will have the opportunity to work on exciting projects, collaborating with cross-functional teams to understand data requirements and deliver scalable solutions.

Key Responsibilities

• Develop and optimize data pipelines and workflows using Dataiku.
• Create and maintain interactive dashboards with Tableau to support business insights.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Perform data preparation and cleansing to ensure quality and integrity.
• Resolve data-related issues and optimize database performance.
• Document data processes, pipelines, and dashboards thoroughly.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
• 3 to 4 years of experience in data engineering, with proficiency in Dataiku and Tableau.
• Strong skills in SQL, Python, or R for data manipulation and analytics.
• Solid understanding of data modeling, databases, and data warehousing.
• Excellent problem-solving skills, attention to detail, and ability to manage multiple priorities.

What We Offer

• Competitive salary and benefits package.
• A collaborative work environment with opportunities for professional growth.
• Access to the latest tools and technologies.

RiDiK is an equal opportunities employer and welcomes applications from diverse candidates.

Direct message the job poster from RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)

We are seeking a skilled and motivated Data Engineer to join our team in Singapore. This onsite role requires expertise in Dataiku and Tableau to design, build, and maintain robust data pipelines and analytics solutions that enable data-driven decision-making.

• Develop and optimize data pipelines and workflows using Dataiku.
• Create and maintain interactive dashboards with Tableau to support business insights.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Perform data preparation and cleansing to ensure quality and integrity.
• Resolve data-related issues and optimize database performance.
• Document data processes, pipelines, and dashboards thoroughly.

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
• 3 to 4 years of experience in data engineering, with proficiency in Dataiku and Tableau.
• Strong skills in SQL, Python, or R for data manipulation and analytics.
• Solid understanding of data modeling, databases, and data warehousing.
• Excellent problem-solving skills, attention to detail, and ability to manage multiple priorities.

• Competitive salary and benefits package.
• A collaborative work environment with opportunities for professional growth.
• Access to the latest tools and technologies

• Seniority level: Associate
• Employment type: Contract
• Industries: IT Services and IT Consulting

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Facility Maintenance Engineer (Manufacturing) - job post

You must create an Indeed account before continuing to the company website to apply

$4,000 - $5,500 a month

Permanent

Not specified

Job Description:

• In charge of conducting maintenance training on machinery and equipment for end users.
• Responsible for performing preventive maintenance on machinery used in production department.
• In charge of planning and performing tasks related to facilities, upgrading and repairing machinery and equipment.
• Responsible for troubleshooting machinery malfunctions.
• Take charge of maintaining updated records of repairs and completed preventative maintenance work.
• Responsible for identifying and purchasing critical spares for preventive maintenance.
• Responsible for identifying probable causes of potential failure of machinery & equipment and arrange for preventive repair and replacement to minimize machine downtime.
• In charge of maintain good housekeeping practices in maintenance work area and stores.
• Responsible for ensuring Compliance of in-house safety rules and procedures by all vendors
• In charge of supervising contractors performing maintenance jobs
• Perform related duties as assigned.

Job Requirement:

• Min Diploma in Electrical/Mechanical/Precision/ Manufacturing Engineering or related discipline.
• Min 3 years working experience in CNC machines and equipment maintenance and repair works in the manufacturing environment
• Working experience in building facilities in the manufacturing environment will be advantage

To submit your application, please apply online to or call +(65) for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

Job Purpose

The Data Engineer will be part of the team to develop operation & maintenance decision-support tools to enhance train reliability and maintenance efficiency. This position involves designing, developing, and maintaining data pipelines, APIs, and cloud infrastructure for various rail-oriented applications. The ideal candidate will have expertise in data analysis, transformation, ingestion, database design, API development, and preferably, cloud infrastructure setup. Collaborating closely with software engineers, data scientists, and frontend developers, the Data Engineer will contribute to building efficient, scalable, and reliable systems.

The duties and responsibilities for Data Engineer, are as listed below. The list is not comprehensive and related duties and responsibilities may be assigned from time to time.

Data Engineering & Processing:

• Develop and maintain data pipelines for efficient data ingestion and transformation.
• Work with structured and unstructured data to ensure optimal storage and retrieval.
• Perform data analysis and report on results.

Database Design & Management:

• Design and implement relational and NoSQL database schemas for scalability.
• Optimize database performance through indexing, partitioning, and query tuning.
• Implement data security and compliance best practices.

API Development & Backend Engineering:

• Design and develop APIs for data access and application integration.
• Implement authentication, authorization, and API security best practices.

Cloud Infrastructure & Deployment (Supporting Role):

• Assist in design Azure cloud architectures
• Work with IT infrastructure team to set up cloud infrastructure for application hosting, data storage and processing.

Collaboration & Best Practices:

• Collaborate with internal stakeholders to understand their business needs.
• Work with software engineers, data scientist, frontend developer to understand the data requirement and design architecture of the data platform.
• Implement CI/CD pipelines for automated testing, deployment and monitoring.
• Write testable and maintainable code and documentation to deploy to production.
• Engage continuously with end-user for feedback and improvements.

• Degree in Science, Technology, Engineering or Mathematics (STEM)
• Previous experience as a data engineer or in a similar role
• Data engineering certification is a plus
• Knowledge of security best practices in cloud and database management is a plus

Technical skills include:

• Programming and Data processing: MATLAB, Python, SQL, or similar languages.
• Databases: My SQL, SQL Server, MongoDB or similar.
• Cloud Platforms: Azure
• DevOps & CI/CD: Git Lab CI/CD, Docker

Generic skills include:

• Strong inclination and eager for continual learning and development
• Strong team player
• Critical thinking and problem-solving skills
• Ability to understand and explain complex data and effective interactions with the stakeholders
• Ability to think independently and actively propose solutions to the team.

Mandatory Skills:

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on development and support of data ingestion pipelines.
• Experience with building on data platforms, e.g. Snowflake.
• Proficient in SQL and Python.
• Experience with Cloud environments (e.g. AWS).
• Experience with continuous integration and continuous deployment (CICD) using GitHub.
• Experience with Software Development Life Cycle (SDLC) methodology.
• Experience with data warehousing concepts.
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design and implement solution and perform code review independently.
• Able to provide production support independently.
• Agile, fast learner and able to adapt to changes.

Responsibilities:

• Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
• Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming from multiple data sources using Python via different mechanisms such as API, Files transfer, direct interface with Oracle and MSSQL databases.
• Familiar with SDLC process: Requirement gathering, design and development, SIT testing, support UAT and CICD deployment using GitHub for enhancement and new ingestion pipeline.
• Ensure compliance with IT security standards, policies, and procedures.

Provide BAU support in terms of production job monitoring, issue resolution, and bug fixes.

• Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.

We are looking for an experienced and motivated Data Engineer.

As a Data Engineer at Mighty Bear Games, you will play a crucial role in shaping our data analytics platform. Your expertise will drive the development, maintenance, and optimization of data pipelines, and you’ll work closely with cross-functional teams to transform data into actionable insights that propel our games to new heights.

We are an equal opportunity employer. We celebrate diversity and welcome applications from candidates from all walks of life and are committed to creating an inclusive environment for all Bears.

• Design, construct, install, test, and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
• Research opportunities for data acquisition and new uses for existing data.
• Develop data set processes for data modeling, mining, and production.
• Recommend ways to improve data reliability, efficiency, and quality.
• Collaborate with data architects, modelers, and IT team members on project goals.
• Work closely with product owners and design architecture that will support analytics solutions for the long term.

• Proven experience as a Data Engineer, Software Developer, or similar role.
• Expertise in data modeling, ETL development, and data warehousing.
• Experience with SQL and NoSQL databases, including Postgres and Cassandra.
• Proficiency in scripting languages such as Python or Ruby.
• Knowledge of big data tools like BigQuery, Looker, Hadoop, Spark, Kafka, etc.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing, and presenting findings.
• Creative problem-solving skills and excellent communication.
• Passion for gaming and understanding of the gaming landscape.
• A genuine interest in games and/or web3 and experience working in relevant creative industries.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

If you want to be part of a team committed to transparency and openness, then Mighty Bear Games is the place for you!

We are always on the lookout for interesting people - even if your profile doesn’t meet the requirements fully, we’d love to hear from you!

Whether you’re new to the industry or have several years of experience, we look for candidates who are enthusiastic about gaming and data-driven insights.

• Mid-Senior level

• Full-time

• Information Technology

• Computer Games