Senior Data Engineer

📋 Description

• Lead migration of analytics workflows into BigQuery with unified warehouse and reporting layer.
• Design, build, test, and operate ETL/ELT pipelines for trusted data usage by data scientists
• Extend Go services to support data ingestion (changefeeds, streaming or batch sinks).
• Consolidate data from internal databases, blockchain, market data, and product analytics into
• Establish standards for ingestion, transformation, orchestration, testing, lineage, documentation
• Develop foundational metrics and dashboards with input from Data Science and business stakeholders.

🎯 Requirements

• 5+ years in professional data engineering building/operating production-grade pipelines and
• Strong hands-on cloud data warehouse experience with deep BigQuery expertise (performance
• Advanced SQL and data modeling with dbt, Airflow, or similar platforms.
• Experience designing batch/streaming ingestion architectures (CDC, changefeeds, event pipelines)
• Experience in fintech/financial services or high-integrity data environments.
• Strong focus on data quality, testing, observability, monitoring, lineage, and reliability.

🎁 Benefits

• Competitive compensation with token rights/equity options.
• Comprehensive medical, vision, dental coverage.
• Flexible vacation; fully remote team across multiple countries.
• Opportunity to influence engineering practices and the data platform at an early stage.
• Collaborate with experienced teams from financial, tech and crypto sectors.