The Team: Data Engineering
The Data Platform team powers trading insights, compliance reporting, and Business Intelligence across the organisation.
The Role
A senior individual contributor who will own and evolve our Data Platform end-to-end — designing scalable pipelines, championing modelling standards, and driving architecture and tooling decisions. You’ll partner closely with our AI/ML team to ensure high-quality, well-governed data fuels intelligent products.
What You’ll Do
* Collaborate with stakeholders to decompose ambiguous problems into tested data solutions.
* Develop dbt models, tests, and docs serving cross-functional stakeholders.
* Drive modelling decisions — dimensional models, snapshots, SCDs — across Exchange and Market Data.
* Design and maintain production data pipelines using Apache Airflow.
* Improve pipeline observability, alerting, and SLA monitoring; champion reliability practices.
* Mentor engineers via design reviews, pairing, and documentation.
* Evaluate new tools or patterns (streaming, real-time views) where they add value.
* Collaborate with the team’s AI specialists to deliver AI-driven Data Platform capabilities.
What You Bring
* 6+ years in Data Engineering, with 2+ years in a senior or lead capacity.
* Pragmatic problem-solver — you set direction, unblock others, and make trade-offs.
* Strong communicator — can whiteboard architecture and narrate data stories alike.
* Deep expertise in SQL, Python, and modern tooling (dbt, Airflow, BigQuery or equiv.).
* Strong data modelling fundamentals — you think in schemas, grain, and lineage first.
* 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.
Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
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