Data Engineering & Integration Operations Manager
A leading organisation in Kuala Lumpur is seeking a Data Engineering and Integration Operations Manager to join its technology team, supporting enterprise-scale data integration and delivery initiatives. This role offers the unique opportunity to remain hands-on with technical problem-solving while also guiding operational improvements and coordinating stakeholders across multiple teams.
What you'll do:
As a Data Engineering and Integration Operations Manager in Kuala Lumpur, you will be at the heart of the organisation’s technology operations. Your day-to-day responsibilities will involve designing innovative solutions for integrating data across various platforms—APIs, files, warehouses—and actively developing these using SQL and Python. You will work closely with cross-functional teams including Data Engineering, Development, Technology, and Client groups to ensure seamless data flow into modern cloud environments like Snowflake or Google BigQuery. Your role will require you to create bespoke configurations tailored to business needs while providing expert troubleshooting for any technical issues that arise. You’ll lead migration projects from legacy systems to advanced platforms, coordinate incident responses across teams, facilitate Agile planning sessions for prioritising technical activities, and continuously seek ways to automate processes for greater efficiency. Success in this position means not only delivering reliable data solutions but also nurturing knowledge sharing among team members while remaining deeply involved in hands-on technical tasks.
- Design, develop, and troubleshoot data integration solutions across API, file-based, and data warehouse environments to ensure seamless data delivery.
- Utilise SQL and Python for hands-on development, analysis, and troubleshooting of complex data pipelines and integration processes.
- Support the integration and delivery of data into modern cloud warehouse platforms such as Snowflake, Google BigQuery, and Databricks by implementing robust solutions.
- Create customised file configurations and tailored data delivery solutions based on specific business requirements and client needs.
- Provide technical troubleshooting and root-cause analysis for issues affecting data pipelines, APIs, feeds, and downstream warehouse environments.
- Lead migration initiatives from legacy systems to modern platforms by planning technical strategies and executing them efficiently.
- Offer guidance on API integration, data delivery methods, and warehouse integration best practices to internal teams.
- Collaborate closely with Data Engineering and Development teams to investigate application issues and drive timely resolution of integration challenges.
- Identify automation opportunities and process optimisations that enhance operational efficiency, reliability, and performance of data delivery systems.
- Monitor operational KPIs and service metrics to detect recurring issues; implement continuous improvements for sustained excellence.
- Coordinate technical incidents, enhancements, and integration activities across multiple technology teams while facilitating Agile planning.
What you bring:
Your background as a Data Engineering and Integration Operations Manager should reflect deep expertise in managing complex technical environments involving large-scale data warehousing and integration projects. You bring substantial hands-on experience working directly with SQL/Python for pipeline development as well as troubleshooting intricate issues across APIs or file-based integrations. Your understanding of architectural principles behind ETL/ELT processes enables you to design scalable solutions that meet evolving business requirements. You have successfully led migration efforts from legacy systems—coordinating multiple stakeholders—and possess strong communication skills that foster trust among colleagues. Your familiarity with modern cloud platforms ensures you can deliver reliable solutions even in challenging production settings. Additionally, your exposure to automation tools or scripting demonstrates your commitment to reducing manual workloads while improving operational efficiency. Whether mentoring junior engineers or collaborating across departments during Agile planning sessions, your interpersonal abilities help build supportive networks that drive collective achievement.
- 10–15 years of proven experience in Data Engineering, Data Warehousing, Data Integration or related technical fields with a strong track record of success.
- Extensive hands-on expertise with SQL and Python for developing robust data pipelines and troubleshooting complex integration processes.
- Comprehensive understanding of data warehouse architecture including ETL/ELT processes as well as enterprise-level data interfaces.
- Demonstrated experience with API integrations alongside practical knowledge of JSON, XML or other common data exchange formats.
- Hands-on familiarity with modern cloud platforms such as Snowflake, Google BigQuery or Databricks for large-scale data delivery.
- Exceptional technical troubleshooting skills including debugging capabilities for production environments facing complex issues.
- Experience leading migration projects from legacy systems to contemporary platforms with effective stakeholder coordination.
- Strong communication skills enabling clear interaction with stakeholders at all levels plus effective management of operational priorities.
- Bachelor’s degree in Computer Science, Information Technology or Data Engineering (or related discipline) underpinning your technical foundation.
- Desirable: Experience with Java or other programming languages; exposure to Azure DevOps/Splunk/Salesforce/Microsoft Excel/Power BI; operational monitoring tools; Agile methodologies; scripting/automation; understanding of cloud technologies; experience with large-scale distribution platforms.
What sets this company apart:
This organisation stands out for its unwavering commitment to creating an inclusive workplace where every team member is valued for their unique contributions. Employees benefit from flexible working arrangements that accommodate diverse lifestyles while enjoying generous pension contributions designed for long-term security. The company invests heavily in ongoing training opportunities so you can continually expand your skillset—whether through formal courses or informal knowledge sharing sessions within the team. Supportive leadership ensures you always have guidance when tackling new challenges or pursuing ambitious projects. The culture here is built around collaboration: teams work together towards shared goals rather than competing against one another. With a focus on continuous improvement at every level—from operational processes to personal growth—you’ll find yourself empowered not just to succeed but also to help others thrive alongside you. If you’re looking for an environment where your expertise is respected yet your potential is nurtured further each day this is the place for you.
What's next:
If you are ready to take the next step in your career journey as a Data Engineering & Integration Operations Manager—where your skills will be valued within a collaborative environment—apply now!
Apply today by clicking on the link provided below.
Do note that we will only be in touch if your application is shortlisted.
Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C
About the job
Contract Type: Perm
Specialism: Tech & Transformation
Focus: Business Intelligence, Big Data & Analytics
Industry: IT
Salary: MYR18,000 - MYR22,000 per month
Workplace Type: Hybrid
Experience Level: Senior Management
Location: Kuala Lumpur
FULL_TIMEJob Reference: ILIJGW-04472736
Date posted: 1 September 2026
Consultant: HuiSan Lai
kuala-lumpur tech-transformation/business-intelligence-big-data 2026-09-01 2026-10-31 it Kuala Lumpur MY MYR 18000 22000 22000 MONTH Robert Walters https://www.robertwalters.com.my https://www.robertwalters.com.my/content/dam/robert-walters/global/images/logos/web-logos/square-logo.png true