Data Engineer (Data Infrastructure & Business Insights)

Cove Living Pte Ltd; Remote; SGD 60,000 - 80,000; Full time

Job summary

A dynamic tech-driven property company in Singapore seeks a Data Engineer to design and maintain data pipelines, ensuring data quality across business functions. The role requires 3-5 years of related experience, strong SQL and Excel skills, and proficiency in BI tools like Looker Studio. Ideal candidates should enjoy collaboration with non-technical teams and be flexible in a fast-paced environment. Competitive salary and remote work options are provided.

Qualifications

• 3-5 years of experience in data engineering or analytics roles.
• Strong communication skills for collaboration with non-technical stakeholders.
• Solid understanding of data modeling principles.

Responsibilities

• Design and maintain ETL/ELT processes and reliable data pipelines.
• Build dashboards and visualizations in BI tools.
• Ensure data quality and collaborate with stakeholders.

Skills

SQL

Excel

Data visualization

Looker Studio

Collaborate with stakeholders

Python

git

Education

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

Tools

BigQuery

MongoDB

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.