Data Governance Engineer
Jakarta, ID
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-Time
From the employer’s posting
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.
Define and establish data policies, procedures, and standards
Propose data quality standards, metrics, and monitoring systems
Set up data classification and dashboard user access policies with other teams
Design and set up the data catalog for business and technical users
Promote policies and document processes so stakeholders use data more
From the employer’s posting
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.
Establish and promote proper procedures, policies, and standards to our data
Propose and establish data quality standards, metrics, and monitoring systems
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
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
What you’ll bring
All qualificationsCore experience
- 1-3 years of experience in data fields
- Proficient in SQL and writing efficient queries
- Hands-on UNIX and Python programming
- Understanding of data security, modeling, quality, and architecture
- Hands-on experience with cloud data warehouses, AWS or GCP preferred
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
At least 1-3 years of experience in data fields.
Proficiency using SQL is a must and writing efficient SQL query.
Experience and knowledge hands on in UNIX and python programming
Strong understanding of data security, data modeling, data quality/monitoring, and data architecture.
Experience and knowledge hands on in cloud data warehouse (AWS and GCP preferred).
Experience and knowledge hands on in UNIX and python programming (Spark, Airflow, and other data engineering related preferred).
Experience in documenting processes, data flows, and policies are preferred.
Tools in this posting
- Python
- SQL
- AWS
- 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).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 5, 2026 · 78 days ago
- Recorded sightings
- 130
- Last seen by us
- Oct 22, 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 kredivo-group.breezy.hr. The employer’s form will show what is required.
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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.
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Source details
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- Pay
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- Location & working pattern
Jakarta, ID
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