Senior Data Engineer (Data Infrastructure & Business Insights)
Cove Living · Jakarta, ID
Sekilas tentang pekerjaan ini
Cove Living mencari Senior Data Engineer untuk merancang infrastruktur data dan mendukung kebutuhan insight bisnis. Posisi full-time ini ditujukan bagi kandidat berpengalaman minimal 5 tahun dan bekerja remote (~GMT+8).
Tugas utama
- Merancang dan memelihara proses ETL/ELT serta pipeline data di dbt dan BigQuery
- Membangun dan memelihara dashboard serta visualisasi di Looker Studio
- Menjaga kualitas, konsistensi, dan aksesibilitas data serta menerapkan kontrol kualitas
- Berkolaborasi dengan tim operasional, sales, finance, dan tech untuk menjawab kebutuhan data
Kualifikasi utama
- Pengalaman minimal 5 tahun di data engineering, analytics engineering, atau data analytics
- Gelar BS di Mathematics, Economics, Computer Science, Information Management, atau Statistics
- Menguasai SQL dan Excel serta berpengalaman dengan BigQuery atau data warehouse serupa
- Berpengalaman menggunakan Python, Looker Studio, dan Git
- Fasih berbahasa Inggris lisan dan tulisan
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs Cove Living.
Deskripsi pekerjaan
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.