
51 - 200 employees
Founded 2017
🌐 Web 3
🤖 Artificial Intelligence
Web 3 • Artificial Intelligence
BCW Group is a SOC 2 Type II enterprise solutions firm and venture studio that builds AI, Web3, and cloud infrastructure to power the digital economy. It offers verticals including staking (stakeFi) with enterprise-grade staking and validator services, multichain node deployments, cloud infrastructure, and AI solutions — focusing on scalable, secure infrastructure for financial institutions and other enterprises, with emphasis on regulatory adherence and high uptime.
🔥 1 minute ago
Airflow
Apache
AWS
BigQuery
Docker
ETL
Google Cloud Platform
Kafka
Kubernetes
Postgres
Python
Rust
Spark
Terraform
TypeScript
Web3
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51 - 200 employees
Founded 2017
🌐 Web 3
🤖 Artificial Intelligence
Web 3 • Artificial Intelligence
BCW Group is a SOC 2 Type II enterprise solutions firm and venture studio that builds AI, Web3, and cloud infrastructure to power the digital economy. It offers verticals including staking (stakeFi) with enterprise-grade staking and validator services, multichain node deployments, cloud infrastructure, and AI solutions — focusing on scalable, secure infrastructure for financial institutions and other enterprises, with emphasis on regulatory adherence and high uptime.
• Handle analytical, software development, and process development for ingestion, analysis, and reporting of financial data spanning decentralized assets, traditional financial instruments, and internal cost reporting • Develop and maintain ETL for core platform data acquisition consumed by APIs and dashboards • Assist the Anseta data lead with data strategy and systems architecture • Consolidate data for monthly performance reports of decentralized proof-of-stake nodes • Evaluate and monitor data quality • Maintain understanding of collected data and help technical and non-technical team members understand and use it • Report to the Anseta data lead
• Proactively engages with distributed team members across time zones, maintaining transparent communication and strong professional rapport despite physical distance • Applies rigorous software engineering practices, clean code principles, and robust architecture to ensure high data accuracy, system performance, and scalable data pipeline design • Translates complex financial and technical data structures into clear, actionable insights for technical teammates and non-technical stakeholders • Takes full ownership of end-to-end data processes, driving complex data acquisition and integration initiatives forward with minimal direct oversight • Handles highly sensitive financial data and internal cost metrics with complete integrity, strict confidentiality, and strict adherence to data governance practices • Experience or understanding of accessing and interpreting web3 and decentralised asset technologies strongly preferred • Data Analysis • Business Intelligence Platforms • Data Visualization (Looker Studio) • TypeScript for platform development • Rust for high-performance platform development preferred • Python preferred • Express • ORM usage, with Prisma experience advantageous • PostgreSQL, with Timescale experience advantageous • GCP data stack, including BigQuery and CloudSQL • Kubernetes • Spark • Kinesis • Looker Studio and adjacent tools • Kafka • AWS data stack • Data orchestration tools such as Apache Airflow, Prefect, or Dagster • Containerization and infrastructure tools such as Docker and Terraform • Version control and CI/CD tools such as Git, GitHub Actions, or GitLab CI
• Villa Access • Invest desk access
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