1,311 Gcp Engineer jobs in Malaysia

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.

Responsibilities:

• Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
• Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
• Propose solutions for the cloud-based architecture and deployment flow.
• Design and build processes, data transformation, and metadata to meet business requirements and platform needs.
• Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
• Develop, maintain, test, and evaluate big data solutions.
• Focus on production status and data quality of the data environment.
• Pioneer initiatives around data quality, integrity, and security.

• +5 years of experience in Data Engineering.
• Proficiency in Apache Spark
• Proficiency in Python.
• Some experience leading IT projects and stakeholder management.
• Experience implementing ETL/ELT process and Data pipelines.
• Experience with Snowflake.
• Strong SQL scripting experience.
• Background and experience with cloud data technologies and tools.
• Familiar with data tools and technologies like:
• Spark, Hadoop, Apache beam, Dataproc or similar.
• BigQuery, Redshift, or other Data warehouse tools.
• Real-time pipelines with Kinesis or Kafka.
• Batch processing.
• Serverless processing.
• Strong analytic skills related to working with structured and unstructured data sensibilities.

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Endava Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.

• Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
• Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
• Propose solutions for the cloud-based architecture and deployment flow.
• Design and build processes, data transformation, and metadata to meet business requirements and platform needs.
• Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
• Develop, maintain, test, and evaluate big data solutions.
• Focus on production status and data quality of the data environment.
• Pioneer initiatives around data quality, integrity, and security.

• +5 years of experience in Data Engineering.
• Proficiency in Apache Spark
• Proficiency in Python.
• Some experience leading IT projects and stakeholder management.
• Experience implementing ETL/ELT process and Data pipelines.
• Experience with Snowflake.
• Strong SQL scripting experience.
• Background and experience with cloud data technologies and tools.
• Familiar with data tools and technologies like:
• Spark, Hadoop, Apache beam, Dataproc or similar.
• BigQuery, Redshift, or other Data warehouse tools.
• Real-time pipelines with Kinesis or Kafka.
• Batch processing.
• Serverless processing.
• Strong analytic skills related to working with structured and unstructured data sensibilities.

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Mid-Senior level

Full-time

• Information Technology

• IT Services and IT Consulting

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Our infrastructure specialists are responsible for designing and implementing back-end services. They ensure reliability, security, and scalability for all platform layers within our solutions. Infrastructure teams provide expertise across virtualization, cloud services, storage solutions, cybersecurity, and scripting and automation.

Responsibilities:

• Work with customers to design and build cloud-based infrastructures and landing zones;
• Assist with the creation of Infrastructure architectures and technical documentation;
• Design and implement:
  - Secure cloud foundational cloud implementations;
  - Automated provisioning of infrastructure and applications;
  - Cloud-ready applications architecture;
• Deliver end-to-end cloud-based infrastructure management solutions;
• Present Infrastructure modernization strategy to C-level executives;
• Improvements to monitoring, logging, and observability in Client environments;
• Defining and implementing cloud infrastructure governance and building deployment standards;
• Working cross-functionally with our delivery management team.

• Hands-on Terraform and Infrastructure as Code (IaC) development;
• Experience with virtualization: servers, storage, networks;
• Google Cloud Platform certification, along with a minimum of 3 years of practical experience using its suite of tools, is required;
• Experience with infrastructure-based processes such as monitoring, capacity planning, performance tuning, disaster recovery, data center exit;
• Experience with Google’s Cloud Foundation Toolkit and Landing Zone implementations;
• Experience with data center exit strategies.

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.

Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.

Responsibilities:

• Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports.
• Discuss with the stakeholders from other teams to better understand how data flows are used within the existing environment.
• Propose solutions for the cloud-based architecture and deployment flow.
• Design and build processes, data transformation, and metadata to meet business requirements and platform needs.
• Design and propose solutions for the Relational and Dimensional Model based on platform capabilities.
• Develop, maintain, test, and evaluate big data solutions.
• Focus on production status and data quality of the data environment.
• Pioneer initiatives around data quality, integrity, and security.

Qualifications

• +5 years of experience in Data Engineering.
• Proficiency in Apache Spark
• Proficiency in Python.
• Some experience leading IT projects and stakeholder management.
• Experience implementing ETL/ELT process and Data pipelines.
• Experience with Snowflake.
• Strong SQL scripting experience.
• Background and experience with cloud data technologies and tools.
• Familiar with data tools and technologies like:
• Spark, Hadoop, Apache beam, Dataproc or similar.
• BigQuery, Redshift, or other Data warehouse tools.
• Real-time pipelines with Kinesis or Kafka.
• Batch processing.
• Serverless processing.
• Strong analytic skills related to working with structured and unstructured data sensibilities.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance:

Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development:

Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities:

Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance:

Hybrid work and flexible working hours, employee assistance programme;
- Health:

Global internal wellbeing programme, access to wellbeing apps;
- Community:

Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Full-time

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

About the Role

We are looking for a skilled Data Engineer with strong expertise in Google Cloud Platform (GCP). In this role, you will play a key part in building, optimizing, and maintaining data solutions that support advanced analytics, machine learning, and data-driven decision-making. Fluency in Cantonese is a strong advantage and will help you collaborate more effectively with local stakeholders.

Key Responsibilities

• Collaborate with Data Analysts and Data Scientists to understand requirements and design efficient data flows, pipelines, and interactive reports.
• Work closely with stakeholders to understand how data is used across different teams and propose improvements.
• Design and implement cloud-based architecture and deployment processes on GCP.
• Build and maintain data pipelines, transformations, and metadata to support business needs.
• Create solutions for Relational and Dimensional data models aligned with platform capabilities.
• Develop, test, and optimize big data solutions to ensure scalability and performance.
• Monitor and maintain the production environment, ensuring data quality, reliability, and integrity.
• Lead initiatives to improve data quality, governance, security, and compliance.

Requirements

• Proven experience as a Data Engineer, with expertise in GCP services (e.g., BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage).
• Strong knowledge of data architecture, modeling, and ETL/ELT processes.
• Hands-on experience with big data frameworks and modern data tools.
• Fluency in Cantonese (spoken and written) is a strong advantage and will help you collaborate effectively with local stakeholders.
• Strong communication and collaboration skills.
• Familiarity with machine learning, AI, and advanced analytics is a plus.

• 5+ years of experience in Data Engineering.
• Strong proficiency in Python and Apache Spark.
• Hands-on experience designing and implementing ETL/ELT processes and data pipelines.
• Solid expertise in SQL scripting and query optimization.
• Experience with Snowflake or other modern cloud data platforms.

• Background in cloud data technologies and tools, with exposure to:

• Data processing frameworks (Spark, Hadoop, Apache Beam, Dataproc, or similar)

• Data warehouses (BigQuery, Redshift, or equivalent)
• Real-time streaming pipelines (Kinesis, Kafka, or similar)
• Batch and serverless data processing
• Strong analytical skills with the ability to work with both structured and unstructured data.
• Experience in leading IT projects and managing stakeholder expectations.

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we're committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.