Data Engineer

About BTSE: BTSE Group is a global leader in fintech and blockchain technology, anchored by three core business pillars: Exchange, Payments, and Infrastructure Development. Serving over 100 corporate clients worldwide, we provide white-label exchange and payment solutions. Our offerings encompass everything from exchange infrastructure hosting and development to custody, wallets, payments, blockchain integration, trading, and more. We are looking for talented professionals in marketing, operations, customer support, and other departments. The roles offered may be on-site, remote, or hybrid, in collaboration with our local partner.   About the opportunity: You own all data ingestion and the API backend that powers the platform. You build a pluggable connector framework that can ingest data from any financial data source — crypto exchange WebSockets, on-chain analytics providers, news wires, regulatory filings, social media feeds — and expose it through a fast, tenant-aware API. For the first client, this means crypto-specific data feeds and 24/7 operation. The architecture must support adding entirely different data sources for future clients without re-architecture.

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.