Data Engineering Manager

Data Engineering Manager (GCP) | Hybrid (New York, USA) | $225k–$275k + Bonus + Equity + Benefits

Our client is an innovative Tech Bio organisation operating at the intersection of advanced computing, machine learning and life sciences. They are building cloud-native platforms that analyse high-volume scientific data, allowing researchers and engineers to collaborate at a scale. This is a role with impact where you'd be solving real-world issues.

• Ownership of a GCP-first data platform supporting analytics and AI-driven discovery
• Opportunity to work on technology that directly contributes to real-world scientific and medical impact
• Exposure to complex, large-scale datasets that push the boundaries of data engineering
• Close collaboration with ML, research and platform engineering teams
• Hybrid New York working model with flexibility and autonomy

As Data Engineering Manager, you’ll lead and grow a team responsible for building and evolving a modern data platform on GCP. Your work will underpin how data flows from experimentation to insight, supporting analytics, machine learning and operational workflows across the organisation.

You’ll combine people leadership with strong technical direction, ensuring the platform is reliable, scalable and built with long-term impact in mind.

• The evolution of a scalable GCP data platform that supports analytics and machine learning
• Data pipelines that transform complex scientific data into trusted, usable datasets
• Strong engineering practices around quality, observability and performance
• A culture of ownership, collaboration and continuous improvement
• Effective partnership between data engineering, data science and research teams
• The ongoing development and growth of data engineers through mentorship and coaching

We’re looking for a data engineering leader who brings strong people management alongside deep cloud and platform expertise.

• Proven experience managing data engineering teams in production environments
• Strong hands‑on background with Google Cloud Platform (Big Query, Dataflow, Pub/Sub, GCS)
• Excellent Python and SQL skills within modern data stacks
• Experience designing platforms that support analytics and ML use cases
• Clear communicator across engineering, product and scientific stakeholders

• Exposure to scientific, biotech or ML-heavy environments
• Experience supporting feature engineering or ML-ready datasets
• Familiarity with orchestration and workflow tooling

• Performance-based bonus and meaningful equity participation
• Opportunity to work on technology that has tangible, real-world impact
• Hybrid working model based in New York

Please click apply if you feel you are a good match.