Data Governance Engineer
Jakarta, ID
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingEstablish and promote proper procedures, policies, and standards to our data that enable our organization to use data more effectively and efficiently.
Propose and establish data quality standards, metrics, and monitoring systems to be applied in all our data stacks and ensure it is implemented well.
What you’ll bring
All qualificationsCore experience
- Experience in data governance related roles will be a big plus.
- Strong understanding of data security, data modeling, data quality/monitoring, and data architecture.
- Experience and knowledge hands on in UNIX and python programming
- Proficiency using SQL is a must and writing efficient SQL query.
- Experience and knowledge hands on in cloud data warehouse
Preferred experience
- Spark, Airflow, and other data engineering related preferred
- AWS and GCP preferred
- Experience in documenting processes, data flows, and policies are preferred.
Qualification wording
Experience in data governance related roles will be a big plus.
Strong understanding of data security, data modeling, data quality/monitoring, and data architecture.
Experience and knowledge hands on in UNIX and python programming (Spark, Airflow, and other data engineering related preferred).
Proficiency using SQL is a must and writing efficient SQL query.
Experience and knowledge hands on in cloud data warehouse (AWS and GCP preferred).
Experience in documenting processes, data flows, and policies are preferred.
Tools in this posting
- Python
- SQL
- AWS
- Google Cloud (GCP)
Source — Tool mentions in context
- Strong understanding of data security, data modeling, data quality/monitoring, and data architecture. - Experience and knowledge hands on in UNIX and python programming (Spark, Airflow, and other data engineering related preferred). - Proficiency using SQL is a must and writing efficient SQL query.
- Experience and knowledge hands on in UNIX and python programming (Spark, Airflow, and other data engineering related preferred). - Proficiency using SQL is a must and writing efficient SQL query. - Experience and knowledge hands on in cloud data warehouse (AWS and GCP preferred).
- Proficiency using SQL is a must and writing efficient SQL query. - Experience and knowledge hands on in cloud data warehouse (AWS and GCP preferred). - Strong in communication to business and technical users (Bahasa and English).
Job description
We are looking for a Data Governance Engineer to strengthen our data capabilities with more robust standards and policies to handle our data. This will include defining how we process the data, access the data, and visualize the data. In short this Data Governance role would be in charge to implement how we store the and and manage who can access it, also to create policies around our data warehouse and visualization tools. All these we aim to be as automatic as possible.
About the role:
- Establish and promote proper procedures, policies, and standards to our data that enable our organization to use data more effectively and efficiently.
- Propose and establish data quality standards, metrics, and monitoring systems to be applied in all our data stacks and ensure it is implemented well.
- Work with business, engineering, legal, risk, and other related departments/team to set up our data policies consisting of Data Classification, Data and Dashboard User Access Matrix, etc.
- Design and set up our Data Catalog to enable the same data understanding and knowledge among the business users, engineering, and other related teams.
- Promote and communicate all these procedures, policies, and standards to our stakeholder and related business and maintain business flow to ensure our stakeholder could leverage more usage to our data.
About you:
- At least 1-3 years of experience in data fields.
- Experience in data governance related roles will be a big plus.
- Strong understanding of data security, data modeling, data quality/monitoring, and data architecture.
- Experience and knowledge hands on in UNIX and python programming (Spark, Airflow, and other data engineering related preferred).
- Proficiency using SQL is a must and writing efficient SQL query.
- Experience and knowledge hands on in cloud data warehouse (AWS and GCP preferred).
- Strong in communication to business and technical users (Bahasa and English).
- Experience in documenting processes, data flows, and policies are preferred.
#LI-DI1
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on kredivo-group.breezy.hr. The employer’s form will show what is required.
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Source & posting history
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
Jakarta, ID
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 5, 2026
- Recorded sightings
- 111
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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