BTSE
Data Engineer
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Date Posted
Department
Management Office
Location
Taipei
About BTSE:
彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms.
彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.
BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.
About the opportunity:
You own the storage layer and cloud infrastructure provisioning. You design the multi-tenant data architecture that makes IP isolation possible and auditable: shared public data stores for market data, and per-tenant isolated stores for proprietary data. Every table, bucket, and index is either explicitly shared or explicitly tenant-scoped. You provision all infrastructure as code and ensure that onboarding a new tenant is a scripted operation, not a manual one.
Responsibilities
- Provision all cloud infrastructure via Terraform: object storage, vector databases, event streaming, Kubernetes, time-series databases, authentication. All reproducible for new tenants.
- Design multi-tenant storage: shared vector indices for public data, per-tenant indices for proprietary data. Row-level security or schema-level isolation.
- Design per-tenant storage structure with bucket policies enforcing isolation.
- Build market data storage pipeline: exchange feeds → event bus → time-series database.
- Build monitoring dashboards for data pipeline health across all data sources.
- Design feedback data storage: per-tenant schema for feedback events and training data candidates.
- Build data archival pipelines for cost-efficient long-term storage.
- Automate tenant provisioning: a script that creates a new tenant’s storage, network policies, and service accounts.
Requirements
- 4+ years data engineering; strong SQL, Python, and cloud infrastructure.
- Experience designing multi-tenant data architectures with isolation requirements.
- Infrastructure as Code: Terraform or Pulumi — mandatory.
- PostgreSQL experience (vector extensions, partitioning, row-level security a plus).
- Kafka consumer/producer development.
- Time-series data storage and querying experience.
Nice to have
- Experience with financial data: time-series, tick data, on-chain events.
- Understanding of data sovereignty and compliance requirements.
- Experience with tenant provisioning automation.
- Blockchain or crypto data pipeline experience.
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Date Posted
Department
Management Office
Salary
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