Data Engineer (Data Infrastructure & Business Insights)

Reposted 2 Days Ago
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DKI Jakarta
In-Office
2K-2K Annually
Mid level
Information Technology • Real Estate • Design
The Role
Design and maintain ETL/ELT processes, data pipelines, and dashboards while ensuring data quality. Collaborate with stakeholders to meet data needs.
Summary Generated by Built In

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 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: 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.

Top Skills

APIs
BigQuery
Dbt
Excel
Git
Google Analytics
Google Sheets
Looker Studio
MongoDB
Python
SQL
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The Company
148 Employees
Year Founded: 2018

What We Do

Founded in 2018, Cove is a flexible living and home rentals company that leverages technology and design to revolutionise the experience for tenants. We're on a mission to reimagine urban homes in Southeast Asia, catering to a growing generation of mobile working professionals. Cove homes integrate flexibility and convenience with comfort and style for a hassle-free rental experience. With rooms in top city locations, affordable prices and a strong community, Cove tenants will always have somewhere warm to come home to.

Cove has over 3,000 rooms across Singapore and Indonesia, and are set to continue to expand their presence regionally

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