Senior Engineering Manager - Supply & Demand | Paris at Kpler

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. Your mission is to: • Build and sustain an autonomous crew that owns systems end-to-end, from data pipelines to APIs including production operations, incident management, and on-call, while removing organisational blockers to maximise delivery focus. • Champion SLO-driven reliability (via Datadog), with robust runbooks, blameless post-mortems, and a strong emphasis on proactive observability to detect issues before users. • Structure and prioritise work with clear milestones and a consistent delivery cadence, balancing short-term operational needs with longer-term strategic initiatives; use metrics (e.g. velocity, cycle time, effort allocation) to inform decisions and ensure transparency. • Maintain high engineering standards by creating space for testing, automation, observability, documentation, and technical debt reduction; guide architectural decisions across Python and TypeScript systems. • Oversee AWS infrastructure (Terraform-managed) and platform components (ArgoCD, Airflow), ensuring scalability, reliability, and cost efficiency while supporting expansion into new commodity domains. • Develop and retain engineers through clear goals, regular feedback, and career development, fostering high performance while addressing challenges with empathy and clarity. • Partner with recruitment to maintain a strong hiring bar and ensure the team is appropriately staffed and balanced in skills and seniority. • Collaborate closely with Product, Research, and Data teams, communicating progress, managing risks, and increasing the visibility and impact of the crew’s work. • Leverage retrospectives, health checks, and existing metrics to drive continuous improvement, building on an already strong data-driven culture. • Share and scale best practices across the wider engineering organisation, contributing to broader technical excellence and consistency. Skills & Experience Experience & Leadership • Overall 8+ years of engineering management experience, including at least 3 years leading teams of 5+ engineers on production, data-intensive systems. • Proven success building autonomous, high-performing teams that own systems end-to-end—from data ingestion to client-facing APIs. • Experience managing distributed or remote teams across multiple time zones. • Track record of recruiting, developing, and retaining engineering talent, with confidence in performance management and career growth conversations. Technical & Operational Expertise • Strong experience managing teams that build and operate scalable data pipelines or ETL systems using tools like Airflow, Dagster, or Prefect. • Hands-on background with Python backend systems (FastAPI, pandas/polars, SQLAlchemy), as IC or manager. • Proficient with cloud-native infrastructure on AWS (or equivalent), including RDS/Aurora PostgreSQL, S3, Kubernetes/ECS, IAM, and Terraform. • Familiarity with CI/CD pipelines, GitOps practices, and deployment automation (GitHub Actions, ArgoCD). • Strong operational mindset: SLOs/SLIs, incident management, on-call rotations, and post-mortems. Nice to have • Experience managing teams building APIs in TypeScript/Node.js (NestJS, Express, GraphQL/Apollo); the crew’s API layer is TypeScript-based. • Familiarity with production ML systems (e.g., Prophet-based anomaly detection for data quality). • Experience in commodities, energy, or fintech domains. • Exposure to Dataiku or similar data science platforms used by analyst teams. • Experience with monorepo architectures and shared library/framework design patterns. • Familiarity with observability tooling (Datadog, Prometheus, Grafana) and API gateway management (Kong). • Experience managing teams serving both internal platform consumers and external API clients (dual-interface API patterns). • Background in organisations using tribe/squad/crew models (Spotify model or similar). We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? We make things happen We act decisively and with purpose, going the extra mile. We build
together We foster relationships and develop creative solutions to address market challenges. We are here to help We are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice