Senior Data Engineer (Data Infrastructure & Business Insights)

Jakarta, ID

Open 5 months, first seen by us 156 days ago

Pay: SGD 1,500–2,300Period not stated — pay source
Salary range: 1500-2300 SGD (20-30M IDR) depending on experience.
Read the full posting
Work setting: Remote — work setting source
Reports To: Head of Engineering Location: Remote (~GMT+8) What you’ll be doing:
Read the full posting
Employment: Full-time — employment source
Job Title: Senior Data Engineer (Data Infrastructure & Business Insights) Job Type: Full-time Reports To: Head of Engineering
Employment type in the employer’s posting: Full-Time
From the employer’s posting

What you’ll work on

Full posting

Design, build and maintain ETL/ELT pipelines in dbt and BigQuery
Integrate data from MongoDB, SQL, Google Sheets, Google Analytics and APIs
Build and maintain dashboards in Looker Studio and other BI tools
Implement data quality controls and keep data consistent and accessible
Work with operations, sales, finance and tech to clarify data requirements

From the employer’s posting

Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery

integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, APIs, etc.)

Build and maintain dashboards and visualizations in Looker Studio and other BI tools

Ensure data quality, consistency, and accessibility across the organization, implement data quality controls

Proactively collaborate with different stakeholders across operations, sales, finance and tech to clarify requirements and answer data-related questions

Apply at Cove Living Pte

Posting record

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Open 5 monthsWe first saw this posting 156 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 2, 2026156 days ago
Recorded sightings: 107
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

Time since we first saw it

Day 156

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 11,032 similar postings that came down. Coming down is not always a hire.

Cove Living Pte is hiring

1 open job

No new data jobs since June

Hiring record

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
BigQuery
dbt
Excel
Looker
MongoDB

Where the posting names them

- Strong proficiency in SQL and Excel, experience with BigQuery or similar cloud data warehouses. Familiarity with MongoDB is a plus; - Experience with Python for data processing or automation (knowledge of other programming languages is a plus); - Solid understanding of data modeling and database design principles;

What you’ll be doing: - Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery, integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, APIs, etc.); - Build and maintain dashboards and visualizations in Looker Studio and other BI tools;

- Strong communication skills and the ability to collaborate effectively with non-technical stakeholders to translate business needs into actionable data solutions; - Strong proficiency in SQL and Excel, experience with BigQuery or similar cloud data warehouses. Familiarity with MongoDB is a plus; - Experience with Python for data processing or automation (knowledge of other programming languages is a plus);

- Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery, integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, APIs, etc.); - Build and maintain dashboards and visualizations in Looker Studio and other BI tools; - Ensure data quality, consistency, and accessibility across the organization, implement data quality controls;

- Solid understanding of data modeling and database design principles; - Hands-on experience with data visualization and BI tools, especially Looker Studio; - Proficient git user;

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

August 17Last week

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 Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Cove started with renting coliving spaces. Now we’ve expanded to more than just coliving spaces, providing flexibility for comfortable and enjoyable long term or short term stays in our beautiful properties. With over 8000 rooms across Singapore and Indonesia, we’re living our mission and growing our homes in South Korea and Japan.

Believing in the power of a team, we aim to build the leading tech flexible living platform in Asia Pacific, providing high quality and community-centric accommodations. Here we also encourage authenticity and fun to fully embrace being human in a driven and result focused environment to make things happen and ensure the dream becomes a reality.

Job Title: Senior Data Engineer (Data Infrastructure & Business Insights)

Job Type: Full-time

Reports To: Head of Engineering

Location: Remote (~GMT+8)

What you’ll be doing:

Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines in dbt and BigQuery, integrating data from a variety of sources (MongoDB, SQL, Google Sheets, Google Analytics, APIs, etc.);
Build and maintain dashboards and visualizations in Looker Studio and other BI tools;
Ensure data quality, consistency, and accessibility across the organization, implement data quality controls;
Proactively collaborate with different stakeholders across operations, sales, finance and tech to clarify requirements and answer data-related questions.

What makes you a great fit:

5 years of experience in data engineering, analytics engineering, or data analytics roles in a fast-paced or startup environment;
Strong communication skills and the ability to collaborate effectively with non-technical stakeholders to translate business needs into actionable data solutions;
Strong proficiency in SQL and Excel, experience with BigQuery or similar cloud data warehouses. Familiarity with MongoDB is a plus;
Experience with Python for data processing or automation (knowledge of other programming languages is a plus);
Solid understanding of data modeling and database design principles;
Hands-on experience with data visualization and BI tools, especially Looker Studio;
Proficient git user;
BS in Mathematics, Economics, Computer Science, Information Management or Statistics;
Fluent in written and spoken English.

This role might not be a good fit if:

You prefer to focus purely on coding and don’t enjoy collaborating or communicating with non-technical teams. This role requires frequent interaction with business stakeholders to understand their needs and translate them into data solutions;
You find it stressful to manage multiple tasks at once. Our data requests can come from several teams simultaneously, and priorities may shift quickly — flexibility and context-switching are part of the job.

Salary range:

1500-2300 SGD (20-30M IDR) depending on experience.

Source details