Data Engineer & Analytics
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 postingDesign and develop scalable business data solutions across the data supply chain
Create technical and user-focused documentation such as data models and data dictionaries
Solve complex data integrations across multiple systems
Work with management, business partners and engineers to support data quality efforts
From the employer’s posting
Design and develop scalable business data solutions across the entire data supply chain.
Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
Solve for complex data integrations across multiple systems.
Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
What you’ll bring
All qualificationsCore experience
- 1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
- Good proficiency in writing SQL, either in RDBMS (i.e.
- Ability to write robust and scalable code in Python or other scripting programming language
- Good knowledge in creating a workable business dashboard.
- Good communication skills in Bahasa and English.
Qualification wording
1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.)
Ability to write robust and scalable code in Python or other scripting programming language
Good knowledge in creating a workable business dashboard.
Good communication skills in Bahasa and English. Mostly explaining technical things.
Tools in this posting
- Python
- Scala
- SQL
- AWS
- Azure
- BigQuery
- GCP
- Hadoop
- MySQL
- PostgreSQL
- Redshift
- Spark
Source — Tool mentions in context
- SQL and database scripting - With data manipulation scripting languages (like Python or Scala) - With Data Science toolsets and technology stack
- Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.) - Ability to write robust and scalable code in Python or other scripting programming language - Good knowledge in creating a workable business dashboard.
- Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning) - SQL and database scripting - With data manipulation scripting languages (like Python or Scala)
- 1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics - Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.) - Ability to write robust and scalable code in Python or other scripting programming language
- Good knowledge in creating a workable business dashboard. - Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure). - Strong passion in data engineering or business intelligence areas, ability to search or create solutions.
- Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts. - Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning) - SQL and database scripting
Posting record
Report an errorOpen 4 monthsWe first saw this listing 142 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
- Jun 3, 2026 · 142 days ago
- Recorded sightings
- 181
- Last seen by us
- Oct 23, 2026
- Employer says posted
- May 26, 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
As a Data Engineer and Analytic you will be tasked with empowering internal stakeholders to delve deep into the complexities of the data in our warehouse. You will work closely with Product, Engineering, and Data teams to build scalable data pipelines and design data analytics engines that empower deep insights for users. The person in this position will take work seriously, has a strong sense of duty, and is disciplined. The position will generally be task oriented, requiring someone with a conservative, careful, and cautious approach to work.
About the job:
- Design and develop scalable business data solutions across the entire data supply chain.
- Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
- Solve for complex data integrations across multiple systems.
- Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
- Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning)
- SQL and database scripting
- With data manipulation scripting languages (like Python or Scala)
- With Data Science toolsets and technology stack
About you:
- A passionate and curious individual in Data Engineering and Analytics subject areas
- 1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
- Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.)
- Ability to write robust and scalable code in Python or other scripting programming language
- Good knowledge in creating a workable business dashboard.
- Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).
- Strong passion in data engineering or business intelligence areas, ability to search or create solutions.
- Good communication skills in Bahasa and English. Mostly explaining technical things.
- Good workable attitude, something we could invest time to develop.
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Source details
Source notes
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- 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
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