Senior Data Engineer

Record Keeping Transaction Platform

Geekhunter is hiring on behalf our client: an application designed to digitize the physical record keeping books by enabling micro and small enterprises to record their sales, expense and cash transactions at ease using their smart phone.  The company is a hyper fast-growing startup built by serial Entrepreneurs; such as Fabelio founder, ex-Freecharge, ex-Lazada, ex-Sephora; in Indonesia. It is backed by Sequoia Capital (backing Traveloka, GoJek, Tokopedia, Airbnb, etc.) and other prominent investors and founders like Patrick Walujo (Northstar Ventures, early GoJek investor), Sandeep Tandon (Freecharge), Jitendra Gupta (Citrus Pay).

Our client helps business owners simplify their business and, down the line, bring this large unbanked population to the banking ecosystem through innovative and customer-centric digital banking solutions. Launched in December 2019, the platform has onboarded 5,000,000+ merchants on its platform in the first 8 months since launch, making it the fastest growing SME focused startup in Indonesia.


  • Attractive salary and other benefits
  • Private Medical Insurance
  • Flexible working hours
  • Awesome working culture and multinational team
  • Working tools provided

Job Descriptions

  • Designing, developing, and maintaining our Data Platform (in GCP).
  • Responsible for building and maintaining our end-to-end data pipelines from various data sources.
  • Help promote data innovation with a willingness to experiment and to handle hard and complex problems.
  • Research new data engineering and analytic methodologies with minimal guidance and support from other team members.
  • Review and improve the data platform as a whole, inclusive of data model designs, process flow, and end-use cases.
  • Plan and execute data platform expansion as needed to support the company’s growth and analytic needs.
  • Advocate for data quality and data governance to help ensure all data products provide are in the highest standard.
  • Help to mentor junior team members to succeed and grow in the data engineering field.

Job Requirements

  • At least 5 years of experience in building data pipelines with a robust framework.
  • Advanced in at least one programing language python or java.
  • Experience in working with cloud-based solutions and architecture (Must GCP).
  • Have experience in implementing machine learning pipeline in GCP
  • Experience in Machine Learning and data scientist.
  • some experience around data modelling, data warehouse
  • worked on large scale data warehouse/ data pipeline project
  • Knowledge of open source and modern data tech stack would be a strong advantage.
  • Strong SQL and ETL skills are a must.
  • Strong analytical mindset with a problem-solving attitude.
  • Proficient in batch and real-time data processing.
  • Ability to communicate with a technical and non-technical audience.

Tech Stack

  • GCP
  • Bigquery
  • Airflow
  • dbt: data built tool

How to Apply:
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