Time since we first saw it
Day 43
Similar jobs usually come down between day 7 and day 54.
At Artefact, jobs usually come down by about day 36.
From 8,098 similar postings that came down, and 27 of Artefact’s. Coming down is not always a hire.
Data Engineer Manager
Reads like a Data Leadership role: running a data team.
APAC; Jakarta, Jakarta, Indonesia
Live, first seen by us 43 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild and optimise data pipelines for seamless data flow across systems
Manage databases, keeping data integrity and storage and retrieval solutions
Deploy scalable data solutions on Azure, GCP and AWS
Integrate machine learning models into data pipelines
Mentor and guide engineers on knowledge sharing and best practices
From the employer’s posting
Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
Mentor and guide engineers, fostering knowledge sharing and best practices.
Education & alternatives
- Adaptability and a start-up mentality to thrive in a dynamic environment. - Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees. - Already have authorization to work and already working in the market
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 23, 202643 days ago
- Recorded sightings
- 37
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Artefact is hiring
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- GCP
- Kafka
Where the posting names them
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer Manager, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include:
- 8+ years of industry experience in data engineering. - Proficiency in Python, SQL, and database management. - Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
- Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. - Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. - Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
- Proficiency in Python, SQL, and database management. - Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. - Data modelling and modern data platform design concepts
- Data modelling and modern data platform design concepts - Building and maintaining data platforms in Azure/AWS or GCP - Experience working with business stakeholders either internally or externally
- Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. - Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. - Mentor and guide engineers, fostering knowledge sharing and best practices.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
What you will be doing?
As a Data Engineer Manager, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.
Your responsibilities will include:
- Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
- Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
- Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
- Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
- Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.
- Mentor and guide engineers, fostering knowledge sharing and best practices.
What we are looking for?
- 8+ years of industry experience in data engineering.
- Proficiency in Python, SQL, and database management.
- Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
- Data modelling and modern data platform design concepts
- Building and maintaining data platforms in Azure/AWS or GCP
- Experience working with business stakeholders either internally or externally
- Excellent communication skills to collaborate effectively within teams and with stakeholders.
- Strong business acumen with an interest in business-facing roles.
- Adaptability and a start-up mentality to thrive in a dynamic environment.
- Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.
- Already have authorization to work and already working in the market
Artefact is the place to be: come and build the future of data and AI
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.
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
APAC; Jakarta, Jakarta, Indonesia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.