768 Data Engineering jobs in Singapore

• Lead and manage a team of Data Analysts.
• Design, build, and maintain scalable and efficient data pipelines and architecture.
• Ensure data quality, governance, security, and compliance.
• Perform ETL operations across multiple data sources and platforms.
• Improve and optimize data storage, retrieval, and scalability.
• Collaborate across business units to deliver data-driven solutions.
• Drive initiatives in advanced analytics, AI/ML, and emerging data technologies.
• Own and manage Power BI reporting framework and delivery.
• Manage analytics project timelines and deliverables.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 6+ years of experience in data engineering and analytics roles.
• Strong proficiency in Python, SQL, and Azure cloud platform.
• Experience with big data tools (e.g., Spark, Hadoop, Kafka).
• Knowledge of data modeling, data warehousing, and architecture.
• Strong leadership, project management, and communication skills.

Job Title: Data Engineering Leader

About the Role:

Our organization is seeking a highly skilled and experienced Data Engineering Leader to join our team. As a key member of our technical leadership team, you will be responsible for leading end-to-end design, development, and delivery of data solutions and analytical dashboards.

Key Responsibilities:

• Collaborate with business stakeholders to understand requirements and translate them into technical specifications.

• Guide the team in building data pipelines, visualizations, and reports using Tableau, Snowflake, and other relevant tools.

• Optimize performance of SQL queries, dashboards, and data models to ensure scalability and responsiveness.

• Oversee data engineering tasks including ETL processes, data quality checks, and transformation logic.

• Ensure best practices in data governance, security, and documentation.

Requirements:

• 8+ years of relevant experience in Data Engineering, BI, or Analytics roles.
• Proven experience with Tableau for dashboard/report development.
• Strong expertise in Snowflake and Advanced SQL for data modeling and querying.
• Solid knowledge of data engineering concepts and ETL best practices.
• Experience with data visualization techniques and design principles.
• Hands-on experience in performance tuning and optimization of SQL and dashboards.
• Familiarity with Essbase and enterprise reporting systems.
• Strong analytical thinking and problem-solving skills.

What We Offer:

A competitive compensation package and opportunities for professional growth and development.

How to Apply:

Please send your application highlighting your relevant experience, current/expected salary, availability information, and a latest MS-WORD Resume.

Data engineers play a crucial role in organisations, responsible for designing, building and maintaining scalable and secure data pipelines. In this programme, you'll have the opportunity to break into data engineering with structured training and guaranteed job placement.

The training will equip you with technical capabilities, tools, and real-world exposure to succeed. You'll learn how to monitor and improve data quality, reliability, and availability, while collaborating with data scientists, analysts, and software engineers.

There are no specific requirements for experience, but some preferred skills include Python, data pipeline orchestration tools, databases, schema design, and basic networking knowledge.

This is a unique opportunity to kickstart your career in data engineering and join a thriving industry. With ongoing mentorship and learning support, you'll be well on your way to success.

Some of the responsibilities of a data engineer include:

• Designing, building and maintaining scalable and secure data pipelines
• Monitoring and improving data quality, reliability and availability
• Collaborating with data scientists, analysts and software engineers

Additionally, you'll have access to:

• Fully sponsored training with allowance
• Guaranteed deployment with a full-time salary
• Ongoing support, mentoring and career growth opportunities

Job Opportunity: Big Data Developer

• Key Responsibilities:

1. Define and document data requirements for analytics projects.
2. Design, implement, and maintain big data pipelines using Python, PySpark, and ETL tools like Informatica.
3. Develop test plans, support system testing, and User Acceptance Testing (UAT).
4. Create interactive dashboards and visualizations using Tableau and SAP BusinessObjects (SAP BO).
5. Ensure the seamless deployment and production support of analytics systems.

About this Role

Collaboration is Key

We are seeking an experienced Reporting & Analytics Developer to collaborate with our technical teams and stakeholders to design, develop, and maintain data pipelines and reporting solutions. This role involves working closely with cross-functional teams to deliver efficient data engineering jobs, supporting UAT, and ensuring smooth deployments of analytics solutions.

What We Offer

In this role, you will have the opportunity to work on various projects that require analyzing and documenting data requirements, designing and implementing big data pipelines, and creating interactive dashboards. You will also be responsible for developing test plans, supporting system testing, and ensuring the seamless deployment of analytics systems.

Why Choose Us?

Our team values collaboration, innovation, and excellence. We offer a dynamic work environment where you can grow professionally and personally. If you are passionate about working in a fast-paced industry and delivering high-quality results, we encourage you to apply for this exciting opportunity.

We seek a detail-oriented and experienced Data Engineer to join our team. The ideal candidate will have excellent technical skills, with a strong background in data architecture, analytics, and data pipeline management.

• Key Responsibilities:
• Design and implement scalable data pipelines, including ETL processes, to support business growth.
• Enhance data architecture by integrating emerging tools and trends, ensuring high performance and scalability.
• Collaborate closely with data scientists, developers, and stakeholders to translate data needs into reliable datasets.
• Drive enhancements and upgrades to the Data Analytics Platform.

• Degree in Information Technology, Computer Science, Engineering, or related field.
• Hands-on experience with data integration tools such as Informatica, Talend, or Denodo.
• Familiarity with data APIs and data integration techniques.
• Experience working with databases and storage solutions such as MSSQL, PostgreSQL, MinIO, or ChromaDB.
• Strong analytical and communication skills to interact across cross-functional teams and ensure effective delivery.

We are seeking an experienced Solutions Architect to join our team in a key role focused on data engineering. This position requires a unique blend of technical and business skills, with expertise in data analysis, reporting, and business intelligence.

• Proven experience in designing and implementing large-scale data systems, leveraging SQL (Snowflake) and Python technologies.
• Ability to manage and lead cross-functional teams, ensuring timely project delivery and high-quality results.
• Strong analytical and problem-solving skills, with a focus on complex data sets and predictive analytics.
• Effective communication and presentation skills, with the ability to convey technical information to both technical and non-technical stakeholders.
• Familiarity with data warehousing concepts and database management systems.

• Extensive experience in data analysis, reporting, and business intelligence.
• Proficiency in SQL (Snowflake) and Python programming languages.
• Experience with machine learning algorithms and techniques is highly desirable.
• Excellent leadership and team management skills.
• Strong organizational and time management skills.

• Opportunity to work on high-profile projects and contribute to the growth of the company.
• Collaborative and dynamic work environment.
• Professional development and training opportunities.

We are a forward-thinking organization dedicated to innovation and excellence in the field of data engineering.

We are seeking a skilled Data Engineering Specialist to join our team. The successful candidate will be responsible for designing, developing, and maintaining large-scale data systems.

• The ideal candidate will have proven experience in data analysis, reporting, and business intelligence. They should be proficient in SQL (Snowflake) and Python programming languages.

• Experience in Machine Learning is an added benefit, as the candidate will need to work with complex data sets and develop predictive models.

• They must also have strong analytical and problem-solving skills, as well as excellent attention to detail and communication skills.

• Familiarity with data warehousing concepts and database management systems

• Ability to work independently and collaboratively in a fast-paced environment

• Strong organisational and time management skills to handle multiple projects and meet deadlines

• Proficiency in SQL (Snowflake) and Python programming languages

• Opportunity to work on challenging projects and contribute to the growth of the company

• Collaborative and dynamic work environment

• Competitive salary and benefits package

Please submit your resume and cover letter to apply for this exciting opportunity.

Job Role:

We are seeking a skilled professional to join our team as a Data Engineering Specialist.

About the Job:

This role involves designing, developing, and maintaining large-scale data processing systems. The successful candidate will work closely with cross-functional teams to design, develop, and deploy data pipelines that meet business requirements.

Key Responsibilities:

• Design, develop, and maintain data processing systems using big data technologies such as Apache Spark, Hive, and Kafka.
• Develop and implement data pipelines using various tools and technologies.
• Collaborate with teams to design and deploy data solutions.
• Manage stake holders and users independently.
• Ensure data security and compliance with company policies.

Requirements:

• At least 6 years of experience in Data Warehousing.
• Extensive experience in ERD Design/ETL/Querying.
• At least 5 years of Python Development in Data Engineering.
• Minimum 6 years of SQL experience.
• Mandatory experience in RestAPI and AWS.
• CI/CD, Docker, and Kubernetes experience is required.
• Good experience in Big Data Technologies- Apache, Spark, Hive or Kafka.
• Good experience in Data Governance, Data Security and Security Frameworks.
• Ability to work independently and manage stakeholders.
• Excellent written and verbal communication skills.

Job Title: Data Engineering Specialist

We are seeking an experienced Data Engineer to join our team. As a key member of the data engineering group, you will be responsible for designing and developing scalable data pipelines using Azure Data Factory, Databricks, and Spark.

You will ingest, transform, and store structured and unstructured data from various sources including REST APIs. Additionally, you will write efficient SQL queries for data extraction, transformation, and reporting.

Your expertise in developing and maintaining data models in Azure Cosmos DB for high-performance access is essential. You will collaborate with data scientists, analysts, and stakeholders to understand data requirements and implement data quality, monitoring, and validation processes.

• Azure Data Factory
• Databricks
• Spark
• SQL
• Data Quality
• Data Engineering

This is an excellent opportunity to work with a talented team of engineers and contribute to the development of cutting-edge data solutions. We offer a collaborative and dynamic work environment, with opportunities for growth and professional development.

In this role, you will have the chance to stay updated with emerging Azure and big data technologies and continuously improve data engineering practices.

If you are passionate about data engineering and have the skills and experience we are looking for, please submit your application.