71 Data Engineering jobs in Kuala Lumpur

ZALORA Group is looking for aData Engineering Manager to join its Data Science Team. As a Data Engineering Manager, you will lead a small team of two Data Engineers to design, build, and maintain robust, scalable, and efficient data pipeline and systems that support the Finance and Commercial departments.

WHAT WILL YOU DO

Team Leadership & Management

• Lead, mentor, and develop a team of two Data Engineers, providing technical guidance and career development support.
• Manage workload allocation, set priorities, and ensure timely delivery of team objective

Data Infrastructure & Pipeline Development

• Design, implement, and maintain scalable ETL/ELT pipelines to support Finance and Commercial data requirements.
• Ensure pipelines are reliable, efficient, and optimized for performance.
• Provide architectural oversight and ensure best practices in data engineering are applied.

Data Quality & Governance

• Establish processes to ensure data accuracy, consistency, and reliability.
• Implement monitoring, testing, and alerting mechanisms for data pipelines.

Business Support & Collaboration

• Work closely with Finance and Commercial stakeholders to define and align on data definitions, standards, and governance practices.
• Translate business requirements into technical solutions that align with long-term data strategy.

WHAT WILL YOU BRING TO THE TEAM

• Reliable and well-documented data pipelines supporting Finance and Commercial teams.
• Consistent, high-quality datasets for reporting and decision-making.
• Reduced downtime and faster resolution of data issues.
• Clear team processes, coding standards, and documentation.
• A motivated and high-performing data engineering team.

ZALORA Engineering

ZALORA is the leading e-commerce company providing fashion throughout South East Asia. ZALORA Engineering has teams in Singapore and Vietnam to serve millions of users in Malaysia, Singapore, Hong Kong, Taiwan, Indonesia, Philippines. This regional diversity presents a lot of interesting challenges that you and your colleagues will face. You will learn a lot by tackling these challenges.

ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, 12 Ton Dan, D4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce. This team creates the tech stack that powers ZALORA's stellar shopping experience. This ranges from the online shop and the mobile apps to ZALORA's complex logistics solutions.

The ZALORA Story

ZALORA exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia's leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan. ZALORA's localised sites offer an extensive collection of top international and local brands as well as our own in-house labels across apparel, shoes and accessories for men and women. ZALORA is part of Global Fashion Group, the world's leader in online fashion for emerging markets.

ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.

About Us
Intrepid Asia is a leading Ecommerce and Digital Solutions Provider in South East Asia. We offer end-to-end omni-channel ecommerce management, a wide range of Digital Marketing Services and advanced Market Intelligence, all powered by state of the art inhouse Technology to our client base of leading international brands across all key marketplaces and social platforms in all 6 SEA countries. Brands love our regional presence, our excellent data-driven and growth-focused services which are enabled by the strongest team in the industry, and our advanced marketing and tech capabilities.

We are growing rapidly and as the exclusive partner of Flywheel in SEA, we offer many exciting opportunities to work with leading brands across multiple categories and key industry players. By joining us, you will work on the cutting edge of digital commerce in SEA, and experience what it takes to drive a successful ecommerce business end to end.

The Role

We are seeking a seasoned and innovative Data Engineering Manager to lead our talented team of data engineers. You will take ownership of our entire data ecosystem, ensuring the reliability, scalability, and efficiency of our data pipelines and data warehouses. Your primary mission will be to maintain and enhance our current infrastructure built on Google Cloud Platform (GCP), Airflow, dbt, StarRocks, and Google BigQuery while architecting its evolution to support our ambitious goals in AI, SaaS, and enterprise-level analytics.

The ideal candidate is a hands-on leader with a strategic mindset, a passion for technology, strong business acumen, and a relentless drive for improvement. You will be instrumental in fostering a culture of excellence, agility, and cost-conscious innovation within the team.

Key Responsibilities

• Team Leadership & Mentorship:

• Lead, manage, and mentor a team of data engineers, fostering their professional growth and cultivating a collaborative, high-performance culture.

• Champion Agile methodologies (Scrum/Kanban) to manage project priorities, deadlines, and deliverables effectively.

• Data Platform & Pipeline Management:

• Oversee the end-to-end data lifecycle, ensuring the robustness and performance of our data pipelines orchestrated with Apache Airflow and transformations managed by dbt.

• Manage and optimize our dual data warehouse strategy, leveraging StarRocks for transformation and analytics, and Google BigQuery for large-scale data warehousing.

• Champion DataOps principles, implementing best practices for CI/CD, automated testing, and infrastructure as code.

• Data Quality & Observability:

• Design and implement a comprehensive data quality framework, establishing metrics and SLAs for our critical datasets.

• Implement and manage a data observability platform to proactively monitor, alert, and troubleshoot issues across the data stack, minimizing data downtime.

• Develop and own our data governance strategy to ensure data accuracy, security, and compliance.

• Data Architecture & Strategy:

• Design and evolve our data architecture to be future-ready for enterprise-grade data services and new business initiatives.

• Collaborate closely with data scientists, analysts, product managers, and business stakeholders to understand data requirements and deliver impactful solutions.
• Drive cost-optimization initiatives across our data stack, ensuring we achieve maximum value from our cloud and technology investments.

Required Skills & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 8+ years of hands-on experience in data engineering, with a proven track record of building and maintaining large-scale data pipelines.
• 3+ years of experience in a leadership or management role.
• Expert proficiency in SQL and Python.
• Exposure to building data infrastructure to support AI/ML workflows (e.g., feature stores, MLOps).

• Deep, hands-on experience with modern data stack tools, including:

• Workflow Orchestration: Apache Airflow

• Data Transformation: dbt
• Cloud Data Warehouses: Google BigQuery is a must and/or familiarity with other similar Data Warehouse technologies i.e. Snowflake, Azure Synapse Analytics, Databricks.
• Modern OLAP Databases: StarRocks or similar (e.g., ClickHouse, Druid).

• Familiarity with OLTP databases like MySQL and Postgres is required.

• Solid understanding of DataOps principles, data modelling, ETL/ELT design patterns, and data architecture.

• Proven experience working in an Agile/Scrum development environment.

Preferred Qualifications (Added Advantage)

• Experience within the e-commerce and/or digital marketing landscape.
• Hands-on experience with data observability platforms (e.g., Monte Carlo, Datadog, OpenTelemetry).
• Experience designing and building multi-tenant data architectures for SaaS products.
• Extensive experience with the Google Cloud Platform (GCP) ecosystem.

What we offer:

• Excellent and competitive compensation package
• Professional and open international working environment – culturally integrating the best of all cultures to take the best of each and ensure we build an energetic, commercial, and fun working atmosphere.
• You are one of the pioneers of a new and cutting edge Flywheel product underpinned by strong tech. You have a key position in the Intrepid Insights team working on a unique product solving complex data challenges.
• Ample opportunity for personal and professional development, both on the job and through regular training (Ecommerce topics, technical skills, soft skills and leadership training) made available on our proprietary learning platform Intrepid University
• You will work with many brilliant co-workers who are movers and shakers of the industry, as well as with leading brand and ecosystem partners across all categories to shape their presence across all ecommerce platforms in the years to come, and will have a broad view on the latest developments in the South East Asian e-commerce ecosystem

Note: we will not be accepting any unsolicited resumes or CVs from headhunting or recruitment agencies at this point. Any CVs or profiles shared with us will not be entertained, and in the event of dispute, Intrepid will not be liable for any material compensation to third parties

ZALORA Group is looking for a Data Engineering Manager to join its Data Science Team. As a Data Engineering Manager, you will lead a small team of two Data Engineers to design, build, and maintain robust, scalable, and efficient data pipeline and systems that support the Finance and Commercial departments.

WHAT WILL YOU DO

Team Leadership & Management

• Lead, mentor, and develop a team of two Data Engineers, providing technical guidance and career development support
• Manage workload allocation, set priorities, and ensure timely delivery of team objectives

Data Infrastructure & Pipeline Development

• Design, implement, and maintain scalable ETL/ELT pipelines to support Finance and Commercial data requirements
• Ensure pipelines are reliable, efficient, and optimized for performance
• Provide architectural oversight and ensure best practices in data engineering are applied

Data Quality & Governance

• Establish processes to ensure data accuracy, consistency, and reliability
• Implement monitoring, testing, and alerting mechanisms for data pipelines

Business Support & Collaboration

• Work closely with Finance and Commercial stakeholders to define and align on data definitions, standards, and governance practices
• Translate business requirements into technical solutions that align with long-term data strategy

WHAT WILL YOU BRING TO THE TEAM

• Reliable and well-documented data pipelines supporting Finance and Commercial teams
• Consistent, high-quality datasets for reporting and decision-making
• Reduced downtime and faster resolution of data issues
• Clear team processes, coding standards, and documentation
• A motivated and high-performing data engineering team

ZALORA is the leading e-commerce company providing fashion throughout South East Asia. ZALORA Engineering has teams in Singapore and Vietnam to serve millions of users in Malaysia, Singapore, Hong Kong, Taiwan, Indonesia, Philippines.

ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, 12 Ton Dan, D4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce.

The ZALORA Story

ZALORA exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia’s leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan.

ZALORA is an equal opportunities employer and welcomes applications from all qualified candidates. ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals.

ZALORA Group
is looking for a
Data Engineering Manager
to join its Data Science Team. As a Data Engineering Manager, you will lead a small team of two Data Engineers to design, build, and maintain robust, scalable, and efficient data pipeline and systems that support the Finance and Commercial departments.

What Will You Do
Team Leadership & Management

• Lead, mentor, and develop a team of two Data Engineers, providing technical guidance and career development support
• Manage workload allocation, set priorities, and ensure timely delivery of team objective

Data Infrastructure & Pipeline Development

• Design, implement, and maintain scalable ETL/ELT pipelines to support Finance and Commercial data requirements
• Ensure pipelines are reliable, efficient, and optimized for performance
• Provide architectural oversight and ensure best practices in data engineering are applied

Data Quality & Governance

• Establish processes to ensure data accuracy, consistency, and reliability
• Implement monitoring, testing, and alerting mechanisms for data pipelines

Business Support & Collaboration

• Work closely with Finance and Commercial stakeholders to define and align on data definitions, standards, and governance practices
• Translate business requirements into technical solutions that align with long-term data strategy

What Will You Bring To The Team

• Reliable and well-documented data pipelines supporting Finance and Commercial teams
• Consistent, high-quality datasets for reporting and decision-making
• Reduced downtime and faster resolution of data issues
• Clear team processes, coding standards, and documentation
• A motivated and high-performing data engineering team

ZALORA Engineering
ZALORA is the leading e-commerce company providing fashion throughout South East Asia. ZALORA Engineering has teams in Singapore and Vietnam to serve millions of users in Malaysia, Singapore, Hong Kong, Taiwan, Indonesia, Philippines. This regional diversity presents a lot of interesting challenges that you and your colleagues will face. You will learn a lot by tackling these challenges.

ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, 12 Ton Dan, D4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce. This team creates the tech stack that powers ZALORA's stellar shopping experience. This ranges from the online shop and the mobile apps to ZALORA's complex logistics solutions.

The ZALORA Story
ZALORA exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia's leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan. ZALORA's localised sites offer an extensive collection of top international and local brands as well as our own in-house labels across apparel, shoes and accessories for men and women. ZALORA is part of Global Fashion Group, the world's leader in online fashion for emerging markets.

ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.

Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs. Our Associate Analyst, Data Engineering (Advanced Analytics & Insight) position is a unique career opportunity that could be your next step towards an exciting future.

How you will make an impact:

• Oversee JAPAC Edwards Data architecture, strategically design data solutions and managing projects for timely delivery of business value.
• Design state-of-the-art data structure to fulfill Edwards's data needs.
• Engage in agile discussion with team members to produce the best approach for data.
• Convert business requirements into specifications and devise data structure using the Snowflake platform.
• Define data structure guidelines and execute the solution.
• Outline and administer technical infrastructural prerequisites for deploying data solutions while adhering to IT security protocols.
• Liaise with key Edwards stakeholders, articulating clear solution roadmaps and rollout schemes.
• Troubleshoot technical challenges and handle risks to expedite completion schedules.
• Maintain comprehensive documentation for data structure.
• Fine-tune data performance, solve operational glitches, and refine functionalities.
• Support Operations lead with issue escalation and resolution to adhere to SLA commitments.

What you'll need (Requirements):

• Bachelor's degree in engineering, mathematical or technical field (e.g., Computer Science, Information Management System) with 1-2 years' experience required progressively direct experience delivering projects with Snowflake or SQL is a must.
• Proven experience as a data engineer, with a deep understanding of data structure concepts and methodologies ideally within a regulated commercial operations context & Snowflake environment.
• Prior experience or taken part in data migration exercises would be advantageous.
• Competence in intricate technical project management.
• Certification from Snowflake would be advantageous.

What else we look for (Preferred):

• Advanced skills in Snowflake or SQL are preferred.
• Knowledge and experience in Tableau & Salesforce are desirable.
• Fluency in programming languages such as SQL.
• A strong background in relational databases and IT infrastructure components.
• High-level communication and presentation abilities.
• Adeptness to work effectively in both autonomous and collaborative team settings.
• An extensive comprehension of healthcare or medical device sectors is an asset.
• Valuable insights into complex global business operations.

SHARE THIS JOB

A
Squad Lead for Data Engineering
manages and mentors a team of data engineers. Main responsibility is to build and maintain the data pipelines and infrastructure that power our company's analytics, ensuring data is reliable, high-quality, and accessible for the entire organization.

Job Description:

1.Gain insights into the competitiveness and serviceability requirements of HUAWEI CLOUD Big Data service products. Such as: MRS, DWS, DataLake Insights, Elasticsearch, etc.

2.Be responsible for the delivery of global key projects, including Solution design, Resources management, Data migration, Expanding and Optimizing resources based-on HUAWEI CLOUD Big Data service products.

3.Manage requirements of key projects, develop project plans, identify project risks, ensure timely project delivery, and take charge of operations of some HUAWEI CLOUD sites.

4.Provides technical support for HUAWEI CLOUD customers and ensures the proper running of customer services at the technical level.

5.Troubleshoot faults of Big Data service products in various scenarios, communicate with customers about solutions, and track the solution implementation results.

Job Requirement:

1.Have a good project management experience in the ICT or CLOUD industry.

2.Be familiar with Big Data knowledge. Such as: Hadoop, MapReduce, Kafka, HBase, Spark, Datalake Insights, etc.

3.Experience in cloud development, delivery, or O&M. Background in the cloud industry preferred.

4.HCIA/HCIP/HCIE certificate in cloud computing, or equivalent certificates in the industry preferred, ep: AWS, Azure, GCP cloud certificates.

5.Have a good sense of teamwork and organizational coordination skills.