Senior Engineering Manager - Supply & Demand | Paris

Kpler

CDI , Paris, , France IT / Digital
Publiée le
24/03/2026
Contrat
CDI
Localisation
, Paris, , France
Taille équipe
2000+ emp.
Rémunération
Inconnue
5-10 ans exp. Francais Anglais
Missions clés Diriger l'équipe Supply & Demand de Kpler. · Assurer la livraison de systèmes de production et de pipelines de données. · Maintenir des normes élevées d'excellence opérationnelle. · Développer et retenir les ingénieurs par des objectifs clairs et des retours réguliers. · Collaborer étroitement avec les équipes Produit, Recherche et Données.
Profil recherché 5-10 ans d'expérience · Leadership · Gestion d'équipe · Communication · Empathie
Outils & compétences AWS, Kubernetes, Airflow, Python, TypeScript, SQL, Terraform, GitHub Actions, ArgoCD, Datadog

Le poste en détail

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 future position

 

We are seeking a Senior Engineering Manager to lead Kpler’s Supply & Demand (S&D) crew within the Commodities Tribe. The team develops the computation engine that delivers real-time global supply and demand balances for oil, LNG, and grains, combining diverse data sources, analyst expertise, and machine learning to support critical trading decisions.

You will be responsible for the end-to-end delivery of a portfolio of 12+ production systems, including data pipelines, ML-driven quality assurance, APIs, and cloud infrastructure (AWS, Kubernetes, Airflow). Your mandate is to build and sustain a high-performing, autonomous team that owns outcomes from data ingestion through to client-facing products.

You will establish and maintain high standards of operational excellence across SLOs, incident management, and continuous improvement, while fostering a strong culture of ownership supported by robust CI/CD and observability practices. The team already operates at an elite level; your focus will be to sustain and extend this performance as the product scope expands.

This role reports to the Tribe Lead of the Commodities Tribe.

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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.