Senior / Lead Data Engineer (Crypto)

TL;DR

Senior / Lead Data Engineer (GCP/dbt): Own and evolve Data Platform end-to-end, designing scalable pipelines, championing modelling standards, and driving architecture decisions with an accent on medallion architecture, dbt models, and Airflow orchestration. Focus on improving pipeline observability, mentoring engineers, and collaborating with AI/ML team to fuel intelligent products.

Location: Hong Kong, London

Company

Institutionally focused global digital asset platform providing regulated exchange, indices, market data, and insights.

What you will do

• Collaborate with stakeholders to decompose ambiguous problems into tested data solutions.
• Own medallion architecture (bronze → silver → gold), ensuring quality at every layer.
• Develop dbt models, tests, and docs for cross-functional stakeholders.
• Drive modelling decisions including dimensional models, snapshots, and SCDs across Exchange and Market Data.
• Design and maintain production data pipelines using Apache Airflow.
• Improve pipeline observability, alerting, SLA monitoring, and reliability practices.
• Mentor engineers via design reviews, pairing, and documentation; evaluate new tools like streaming.
• Collaborate with AI specialists to deliver AI-driven Data Platform capabilities.

Requirements

• 6+ years in Data Engineering, with 2+ years in senior or lead capacity.
• Pragmatic problem-solver who sets direction, unblocks others, and makes trade-offs.
• Strong communicator able to whiteboard architecture and narrate data stories.
• Deep expertise in SQL, Python, and modern tooling (dbt, Airflow, BigQuery or equivalent).
• Strong data modelling fundamentals thinking in schemas, grain, and lineage.
• Production GCP experience (BigQuery, GCS, GKE, IAM) or comparable cloud platforms.
• Solid grasp of Kubernetes concepts (pods, Helm charts, resource management).

Nice to have

• Experience in crypto, digital assets, or exchange platforms (order books, market data).
• Familiarity with streaming frameworks (Kafka, Pub/Sub, Flink) and real-time patterns.
• Exposure to Data Governance or privacy frameworks in regulated finance.
• Experience building Conversational Analytics, RAG, or MCP-based AI tools.

Culture & Benefits

• Global engineering organization committed to technical excellence, security, and compliance.
• High bar in demanding environment with world-class peers.
• Value engineers who own outcomes from concept to deployment and shape frameworks.
• Thrive on high-impact technical challenges in institutional digital asset industry.
• Equal opportunity employer striving for global diversity and integrity-driven success.