Senior Engineering Manager (Data)

TL;DR

Senior Engineering Manager (Data): Leading the Supply & Demand crew to develop high-load computation engines for global commodity trade intelligence with an accent on data pipelines, machine learning integration, and scalable infrastructure. Focus on driving operational excellence via SLO-driven reliability, team autonomy, and managing complex production systems in a hybrid environment.

Location: Must be based in or able to commute to London or Paris

Company

hirify.global is a global intelligence firm providing actionable market data and insights for the energy, commodities, and maritime sectors through user-friendly technology platforms.

What you will do

• Lead and nurture a high-performing autonomous team of engineers to deliver reliable data-intensive systems.
• Establish operational excellence through SLO-driven reliability, incident management, and proactive observability.
• Oversee the end-to-end delivery of a portfolio of production systems, including data pipelines and APIs.
• Guide architectural decisions and maintain high engineering standards across Python and TypeScript stacks.
• Partner with Product, Research, and Data teams to prioritize work and drive long-term strategic initiatives.
• Manage AWS infrastructure and platform components using Terraform, ensuring scalability and cost-efficiency.

Requirements

• 8+ years of engineering management experience, with at least 3 years leading teams of 5+ on production data systems.
• Hands-on background with Python backend systems and cloud-native AWS infrastructure.
• Experience managing teams building scalable data pipelines or ETL systems using tools like Airflow.
• Strong understanding of CI/CD pipelines, GitOps, and deployment automation.
• Ability to manage distributed teams and foster a strong culture of ownership and high performance.

Nice to have

• Experience with TypeScript/Node.js API development and GraphQL.
• Background in commodities, energy, or fintech domains.
• Familiarity with production ML systems and anomaly detection.
• Knowledge of tribe/squad organizational models.

Culture & Benefits

• Dedicated commitment to an inclusive and diverse global work environment.
• Opportunity to work with cutting-edge data technologies in a dynamic market intelligence space.
• Focus on blameless post-mortems and a proactive, data-driven engineering culture.
• Emphasis on career development through clear goal-setting and regular feedback.