BJAK
Insurance and financial services
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at BJAK. Skills: Data pipelines, Data modeling, SQL, Python. Design data pipelines. Build data pipelines”
Industry & Context.
What They're Looking For.
Must Have
3+ years of experience as a Data Engineer, programming skills in Python, programming skills in TypeScript, solid SQL proficiency, Good understanding of data modeling, Good understanding of ETL/ELT concepts, Good understanding of analytics workflows, Hands-on experience with data warehouses, Experience building and operating production data pipelines
Nice to Have
Experience with cloud platforms, Experience with GCP, Exposure to streaming systems, Familiarity with dbt, Familiarity with analytics engineering practices, Experience with data lake technologies, Exposure to ML data pipelines, Exposure to feature stores
What You'll Do.
Design data pipelines
Maintain data pipelines
Ingest data from diverse sources
Manage data storage layers
Partner with analytics teams
Partner with product teams
Partner with engineering teams
Enforce data governance best practices
How You'll Work.
Team & Collaboration
Work closely with analytics teams; Work closely with product teams; Work closely with engineering teams
Full Job Description
About BJAK BJAK is building the next-generation insurance and financial services platform - designed to be intuitive, intelligent and personalised. Presently we are the largest insurance platform in Southeast Asia, and expanding globally with a strong focus on technology and product superiority. We are looking for talented, ownership-minded individuals. In return, expect growth, trust, autonomy, rewards, and impact. About the Role As a Data Engineer, you will build and operate the data infrastructure that powers BJAK’s analytics, product insights, and downstream systems. You will work closely with analytics, product, and engineering teams to ensure data is reliable, accessible, and production-ready at scale. What You Will Be Doing - Design, build, and maintain scalable, fault-tolerant data pipelines (batch and/or streaming) for core business and product data. - Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability. - Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases. - Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation. - Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency. - Enforce data governance best practices, including access control, privacy, documentation, and data lineage. What You Will Need - 3+ years of experience as a Data Engineer, data-heavy Backend Engineer, or similar role. - Strong programming skills in Python and/or TypeScript, with solid SQL proficiency. - Good understanding of data modeling, ETL/ELT concepts, and analytics workflows. - Hands-on experience with data warehouses (e.g. BigQuery, Snowflake). - Experience building and operating production data pipelines. Nice-to-Have - Experience with cloud platforms (especially GCP
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