Data Engineer
Kuala Lumpur
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures.
Design, build, and maintain scalable data pipelines and ETL/ELT workflows
Develop and optimize data lake and data warehouse solutions on Snowflake or Databricks
Implement data ingestion and transformation frameworks for structured and unstructured data
Implement data quality validation, reconciliation, and monitoring controls
Optimize performance for data storage, compute, and query execution
From the employer’s posting
We are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures. The ideal candidate has deep hands-on experience with Snowflake or Databricks, has built scalable data pipelines, and is proficient in Azure cloud services.
Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
Develop and optimize data lake and data warehouse solutions using Snowflake and/or Databricks.
Implement data ingestion, transformation, and processing frameworks for structured and unstructured datasets.
Implement data quality validation, reconciliation, and monitoring controls.
Optimize performance for data storage, compute, and query execution.
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Snowflake
Source — Tool mentions in context
- Experience developing ETL/ELT pipelines using modern data frameworks. - Proficiency with scripting languages such as Python or Scala. - Experience with data modeling techniques (star schema, normalized models, dimensional modeling).
- Hands-on experience on Azure Cloud (e.g., Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps). - Expertise in SQL and performance tuning for large datasets. - Experience developing ETL/ELT pipelines using modern data frameworks.
About the Role We are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures. The ideal candidate has deep hands-on experience with Snowflake or Databricks, has built scalable data pipelines, and is proficient in Azure cloud services. Key Responsibilities
- Strong experience in Snowflake and/or Databricks (any one is fine, both preferred). - Hands-on experience on Azure Cloud (e.g., Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps). - Expertise in SQL and performance tuning for large datasets.
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows. - Develop and optimize data lake and data warehouse solutions using Snowflake and/or Databricks. - Implement data ingestion, transformation, and processing frameworks for structured and unstructured datasets.
- 7–8+ years of hands-on experience as a Data Engineer. - Strong experience in Snowflake and/or Databricks (any one is fine, both preferred). - Hands-on experience on Azure Cloud (e.g., Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps).
Posting record
Report an errorOpen 3 monthsWe first saw this listing 91 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 22, 2026 · 91 days ago
- Recorded sightings
- 208
- Last seen by us
- Oct 21, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Job description
About the Role
We are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures. The ideal candidate has deep hands-on experience with Snowflake or Databricks, has built scalable data pipelines, and is proficient in Azure cloud services.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
- Develop and optimize data lake and data warehouse solutions using Snowflake and/or Databricks.
- Implement data ingestion, transformation, and processing frameworks for structured and unstructured datasets.
- Work closely with cross-functional teams (Data Analytics, Data Science, Product, Engineering) to support data consumption needs.
- Build reusable and modular data pipeline components aligned with best practices.
- Implement data quality validation, reconciliation, and monitoring controls.
- Optimize performance for data storage, compute, and query execution.
- Ensure adherence to data governance, security standards, and compliance requirements.
- Participate in solution architecture discussions and contribute to technical design decisions.
Required Skills & Experience
- 7–8+ years of hands-on experience as a Data Engineer.
- Strong experience in Snowflake and/or Databricks (any one is fine, both preferred).
- Hands-on experience on Azure Cloud (e.g., Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps).
- Expertise in SQL and performance tuning for large datasets.
- Experience developing ETL/ELT pipelines using modern data frameworks.
- Proficiency with scripting languages such as Python or Scala.
- Experience with data modeling techniques (star schema, normalized models, dimensional modeling).
- Experience with CI/CD for data pipelines and version control (Git).
- Exposure to data governance, metadata management, and data quality frameworks.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Kuala Lumpur
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.