Analytics Engineer (Data Infrastructure & Business Insights)

Cove Living Pte Ltd; Daerah Khusus Ibukota Jakarta; On-site; IDR 221,165,279 - 339,120,095; Full time

Job summary

A leading tech flexible living platform is looking for a Data Engineer. This role involves designing, building, and maintaining data pipelines and dashboards while ensuring data quality across various sources. Ideal candidates should possess 3-5 years of data engineering experience, strong SQL skills, and proficiency in Python. This position offers a salary range of 1500-2300 SGD depending on experience and allows for remote work in the GMT+8 time zone.

Qualifications

• 3-5 years of experience in data engineering, analytics engineering, or data analytics roles in a fast-paced or startup environment.
• Strong communication skills and able to collaborate effectively with non-technical stakeholders.
• Proficient in SQL and Excel and experience with BigQuery or similar cloud data warehouses.

Responsibilities

• Design, build, and maintain efficient ETL/ELT processes and reliable data pipelines.
• Build and maintain dashboards and visualizations in Looker Studio and other BI tools.
• Ensure data quality, consistency, and accessibility across the organization.

Skills

Data engineering experience

SQL proficiency

Strong communication skills

Python experience

Data visualization skills

Education

BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Tools

BigQuery

Looker Studio

MongoDB

Excel

Git

Job description

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 6000 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 सुर> in a driven and result focused environment to make things happen and ensure the dream becomes a reality.

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

Job Type: Full‑time

Reports To: Head of Engineering

Location: -centric>Remote (~GMT+8)

What you’ll be doing:

1. 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.);
2. Build and maintain dashboards and visualizations in Looker Studio and other BI tools;
3. Ensure data quality, consistency, and accessibility across the organization, implement data quality controls;
4. 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:

1. 3-5 years of experience in data engineering, analytics engineering, or data analytics roles in a fast‑paced or startup environment;
2. Strong communication skills and the ability to collaborate effectively with non‑technical stakeholders to translate business needs into actionable data solutions;
3. Strong proficiency in SQL and Excel, experience with BigQuery or similar cloud data warehouses. Familiarity with MongoDB is a plus;
4. Experience with Python for data processing or automation (knowledge of other programming languages is a plus);
5. Solid understanding of data modeling and database design principles;
6. Hands‑on experience with data visualization and BI tools, especially Looker Studio;
7. Proficient git user;
8. BS in Mathematics, Economics, Computer Science, Information Management or Statistics;
9. 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.