Senior Data Engineer (Data Infrastructure & Business Insights)

Cove Living Pte Ltd Open · verified Oct 24, 2026

Remote Jakarta Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Cove Living Pte Ltd. Remote, Indonesia · full-time.

Pay not stated Data Engineer salary

RoleData Engineering

SenioritySenior

LocationJakarta

WorkplaceRemote

EmploymentFull-time

PostedJul 26, 2026 · 3mo ago

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Build and maintain dbt and BigQuery pipelines that bring together data from sources such as MongoDB, SQL, and APIs
Create dashboards and visual reports in Looker Studio or other business intelligence tools
Put checks in place to keep organizational data accurate, consistent, and accessible
Work with operations, sales, finance, and technology teams to clarify requests and resolve data questions

What you bring

At least five years in data engineering, analytics engineering, or data analytics, preferably in a fast-moving startup setting
Strong SQL and Excel skills, plus experience with BigQuery or a comparable cloud data warehouse
Practical experience with BI and visualization tools, particularly Looker Studio
Fluent spoken and written English

Who this fits

This role suits a senior data practitioner who enjoys working directly with non-technical teams and turning their needs into data solutions. You’ll need to juggle requests from several teams as priorities change. The position is remote, with working hours aligned roughly to GMT+8.

From the employer

Senior Data Engineer (Data Infrastructure & Business Insights)

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.