1,041 Data Engineering jobs in Singapore

**Job Description**: We are seeking a seasoned technical leader to oversee our data engineering, backend, frontend, and MLOps domains. The ideal candidate will have expertise in technical leadership, architecture, and DevOps practices.

**Required Skills and Qualifications**:

• Technical leadership and architecture expertise
• Experience with DevOps practices and infrastructure management
• Strong understanding of system architecture, design patterns, and technical decisions
• Ability to establish coding standards, best practices, and technical documentation requirements
• Evaluate and recommend new technologies and tools to improve development efficiency

**Benefits**: As a member of our team, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and contribute to the growth and success of our organization.

**Others**: If you are a motivated and detail-oriented individual with a passion for technology, we encourage you to apply for this exciting opportunity.

We are seeking a highly skilled Data Engineering expert to support our organization's data management initiatives. The ideal candidate will have at least 8 years of experience in software or data engineering with proficiency in Python programming language.

• Strong experience in unit and integration testing
• Familiarity with DevOps practices and Agile methodologies
• Strong software engineering, analytical and problem-solving skills
• Experience in cloud computing environments such as AWS and Kubernetes (K8s)
• Familiarity with big data platforms including Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect
• Familiarity with version control systems like GitHub and monitoring tools such as Datadog

• Python programming language
• Apache Spark
• Kubernetes
• Big Data
• Pipelines
• Hadoop
• Software Engineering
• Agile Methodologies
• ETL
• Data Engineering
• Integration Testing
• Orchestration
• Cloud Computing

We are seeking a highly skilled and experienced Cloud Data Engineering Leader to spearhead our cloud-based data initiatives.

This role will be responsible for architecting, building, and maintaining scalable data pipelines and platforms in the cloud, enabling advanced analytics and data-driven decision-making across the organization.

• Leadership & Strategy
  • Lead a team of data engineers in designing and implementing cloud-native data solutions.
  • Define and drive the data engineering roadmap aligned with business goals.
  • Collaborate with cross-functional teams, including Data Science, Analytics, DevOps, and Product.
• Architecture & Development
  • Architect and implement scalable, secure, and cost-effective data pipelines and platforms.
  • Design and optimize data lake, data warehouse, and real-time streaming architectures.
  • Ensure high availability, performance, and reliability of data systems.
• Cloud & Tools
  • Leverage cloud platforms (AWS, Azure) for data storage, processing, and orchestration.

Utilize tools such as Snowflake, Data Bricks, AWS Glue, Iceberg, Apache Spark, Airflow, Kafka, dbt, and Terraform.

• Implement CI/CD pipelines and infrastructure-as-code for data workflows.
• Governance & Quality
  • Establish data governance, security, and compliance standards.
  • Monitor data quality and implement automated validation and alerting mechanisms.
• Mentorship & Growth
  • Mentor junior engineers and foster a culture of continuous learning and innovation.
  • Conduct code reviews, technical workshops, and performance evaluations.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of experience in data engineering, with 2+ years in a leadership role.
• Proven expertise in cloud platforms (AWS, Azure).
• Strong programming skills in Python, Scala, or Java.
• Experience with big data technologies (Spark, Hadoop), ETL tools, and SQL.
• Familiarity with data modeling, warehousing, and real-time data processing.
• Excellent communication, leadership, and project management skills.

We are seeking a seasoned Senior Data Engineering Manager to lead our data engineering team and oversee the design, implementation, and maintenance of large-scale data systems.

The ideal candidate will have a strong background in data architecture, software development, and team leadership, with experience working with big data technologies such as Hadoop, Spark, and NoSQL databases.

You will be responsible for developing and implementing data pipelines, ETL processes, and data warehousing solutions that meet the needs of our business stakeholders.

Additionally, you will work closely with cross-functional teams to identify opportunities for process improvements, develop and implement new tools and technologies, and ensure the quality and integrity of our data assets.

• Data Architecture & Design
• Develop and maintain high-level data architecture designs, including data models, ERDs, and system designs.
• Collaborate with stakeholders to understand business requirements and develop data solutions that meet those needs.
• Team Leadership
• Lead a team of data engineers, providing guidance, mentorship, and coaching to help them grow professionally.
• Develop and implement processes and procedures to ensure efficient and effective team operations.
• Data Engineering
• Design, implement, and maintain large-scale data systems, including data pipelines, ETL processes, and data warehousing solutions.
• Work with cross-functional teams to identify opportunities for process improvements and develop solutions to address those needs.

• Bachelor's degree in Computer Science or related field.
• At least 7 years of experience in data engineering, software development, or a related field.
• Strong understanding of data architecture, software development methodologies, and Agile principles.
• Experience working with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Excellent communication and leadership skills.

• Senior Data Engineer at ABC Corporation )
• Data Architect at DEF Company )

This is a great opportunity to join a dynamic team and contribute to the growth and success of our organization. If you are passionate about data engineering and leadership, please submit your application today!

We are seeking a skilled Data Engineer to design, develop, and maintain scalable and robust data pipelines and ETL processes.

• Design and develop data architecture and data models using data platforms such as Snowflake, AWS Redshift, MySQL, MongoDB, and S3.
• Implement change data capture (CDC) capable of capturing changes made to source data and propagating them downstream.
• Collaborate with data scientists, business stakeholders, and technology teams to understand data requirements and ensure data integrity, accuracy, and timeliness.
• Monitor and troubleshoot data pipeline performance, ensuring optimal data flow and minimal downtime.
• Implement Data Observability and Data Quality practices using relevant tools and set up data alerts/reporting of Data Observability and Quality metrics.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3-5 years of experience in data engineering or a related field, with a strong background in data architecture and data modelling.
• Proficient in SQL, Python, and/or other programming languages relevant to data engineering.
• Experience with data ingestion, processing, and storage tools and technologies.

We are seeking a highly skilled Data Engineer to join our team. As a key member of our data engineering team, you will design and build robust data systems, including data warehouses, data lakes, and data pipelines, using appropriate technologies and architectures.

Junior Data Engineer Job Description

We are seeking a highly skilled Junior Data Engineer to join our team. As a Junior Data Engineer, you will play a crucial role in designing and implementing ETL/ELT pipelines and data workflows that ensure data quality, consistency, and integrity across sources.

Key Responsibilities:

• Design and implement scalable data warehousing solutions
• Manage and maintain high-quality data pipelines
• Collaborate with cross-functional teams to ensure seamless data integration

Requirements:

• 0-1 year of experience in data engineering or a related field
• Polytechnic diploma or degree in computer science or data science
• Freshers with decent SQL scripting skills will be considered
• Strong communication skills and ability to work in a team

What We Offer:

• A dynamic and collaborative work environment
• Opportunities for professional growth and development
• A competitive salary and benefits package

To succeed in this role, you will need to have a strong foundation in data engineering principles and practices, as well as excellent problem-solving and communication skills.

**Job Description**: We are seeking a seasoned technical leader to oversee our data engineering, backend, frontend, and MLOps domains. The ideal candidate will have expertise in technical leadership, architecture, and DevOps practices.

**Required Skills and Qualifications**:

• Technical leadership and architecture expertise
• Experience with DevOps practices and infrastructure management
• Strong understanding of system architecture, design patterns, and technical decisions
• Ability to establish coding standards, best practices, and technical documentation requirements
• Evaluate and recommend new technologies and tools to improve development efficiency

**Benefits**: As a member of our team, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and contribute to the growth and success of our organization.

**Others**: If you are a motivated and detail-oriented individual with a passion for technology, we encourage you to apply for this exciting opportunity.

We are a technology venture backed by Shell, a multinational energy major, dedicated to tackling the most complex issues in the energy sector through groundbreaking research and development in AI and Data Science. Founded in Singapore, our ultimate goal is to establish ourselves as the leading hub for AI and Data Science R&D in Southeast Asia.

We are looking for sensible and inquisitive engineers and scientists with a strong background in the fields of artificial intelligence, deep learning, data science/engineering, software development, high-performance computing, applied mathematics and/or physics.

As a member of our R&D team, you will have the opportunity to work with some of the brightest and most passionate people in the industry, collaborating on innovative solutions. Your work will have an immediate impact on the energy sector. You will be part of a collaborative and inclusive work environment that values authenticity, integrity, technical mastery, collaboration and impact.

Prepare yourself for an intellectually stimulating journey where each day brings fresh challenges and opportunities for growth. You will immerse yourself in continuous learning experiences, honing your technical skills across various subfields such as artificial intelligence, machine learning, HPC, and geoscience. Furthermore, your work holds the potential to be published in esteemed scientific conferences and journals, offering you a platform to share your insights and discoveries with the global community.

• Conduct applied research and development focused on the core technologies of our company
• Design and develop software libraries tailored to run efficiently on our high-performance computing infrastructure
• Apply your domain knowledge and expertise to contribute to high-stakes engineering projects that have a tangible impact in the real world

In line with our performance-driven culture, you will be rewarded with a competitive package with unparalleled performance incentives.

You have exceptional analytical and problem solving skills. You are intellectually curious, constantly seeking knowledge and growth. You take strong ownership of your work, proactively ensuring its quality and timely delivery.

• Bachelor's or Master's degree in Computing, Science or Engineering with 2 years+ of software development experience
• Strong programming skills in Python, specifically in NumPy
• Experience with development tools such as git, Linux Shell Scripting, vim/emacs, etc

• Programming skills in C, C++
• Experience with parallel computing, system programming

Why Join LRD?

LRD offers a conducive work environment in a company culture that values authenticity, integrity, technical skills, teamwork and results. Here are some of the opportunities offered by the position:

• You are always presented with new challenges to solve intellectually stimulating problems. The work never gets stale, mundane or boring
• Continuous learning opportunities to develop your technical expertise in many subfields of AI, ML, HPC, geoscience, engineering, etc
• Have your work recognized with publication opportunities in top scientific conferences and journals
• Be rewarded for your contributions with high performance bonuses well above market rate

• Associate

• Full-time

• Information Technology

• IT Services and IT Consulting