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Location
Remote/Hybrid (Athens, Greece)
Seniority
Staff
Employment
Full-Time
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Kpler is a data and analytics platform that helps commodity professionals make better decisions. The company provides access to real-time data on global commodity markets, including prices, volumes, and supply and demand dynamics. This information can be used to identify opportunities, mitigate risks, and optimize operations.

The Commodities Tribe builds the systems that turn fragmented maritime, cargo and market data into a real-time view of how commodities are moving around the world. Our platforms process complex and often incomplete data at scale, powering products, APIs and analytical workflows used by customers and internal experts to understand global trade.

As an Lead Engineer, you will lead teams at the centre of this domain as we modernise a business-critical platform and move towards a more modular, scalable and AI-native architecture. You will be responsible for building a high-performing and sustainable engineering environment: developing people, improving delivery, strengthening operational ownership and enabling Technical Leads and senior engineers to make strong technical decisions. The role is well suited to either an existing Engineering Manager or an experienced Technical Lead or senior engineer ready to take their first formal step into management.

Your mission is to

  • Guide the teams through the platform transformation, helping engineers understand, influence and adopt the new direction.
  • Partner with Product and domain stakeholders to shape the roadmap around customer value, data quality and business outcomes.
  • Develop Technical Leads and senior engineers, delegating decisions to the people with the strongest context while keeping accountability clear.
  • Maintain enough technical depth to lead credibly, challenge assumptions and support sound decision-making without becoming the default technical owner.
  • Set clear goals, milestones and delivery rhythms with the teams, balancing roadmap commitments with technical debt and platform health.
  • Build strong end-to-end operational ownership, including on-call, runbooks, incident response and follow-up actions.
  • Improve reliability and observability across the cargo data platform, addressing gaps in monitoring, alerting and data integrity.
  • Lead significant incidents affecting the domain and ensure contributing factors are understood and acted on.
  • Shape and grow your team through effective hiring, capability planning and interviewer development.
  • Develop and retain engineers through coaching, actionable feedback, meaningful goals and fair performance management.

You could be a match if you have

  • Experience leading a software engineering team, whether as an Engineering Manager, Technical Lead, acting manager or senior engineer with meaningful responsibility for delivery and the development of others.
  • Strong technical foundations in backend, data or distributed systems, with enough depth to review designs, challenge assumptions and coach engineers through complex technical decisions.
  • Ability to work effectively with Product, engineering and domain stakeholders to translate business priorities into clear technical and delivery outcomes.
  • Experience contributing to the operation of production systems, including on-call practices, incident response, monitoring and follow-up improvements.
  • A strong belief in end-to-end engineering ownership, including the reliability, maintainability and operational impact of the systems a team builds.
  • A track record of setting clear goals, coordinating delivery and creating accountability within an engineering team.
  • Experience supporting the growth and performance of engineers through regular feedback, development goals and constructive handling of difficult situations.
  • Some involvement in hiring or technical interviewing, with the ability to assess candidates fairly and provide clear, evidence-based feedback.
  • Desirable:

  • Experience leading or contributing to the migration, modernisation or re-architecture of a long-lived production system while maintaining continuity for its users.
  • Experience with data-intensive, event-driven or ML-adjacent systems, such as data pipelines, Kafka, optimisation engines or systems where data and model correctness are central to the product.
  • Familiarity with Python and one or more JVM-based technologies, such as Java or Scala, or experience working effectively in a polyglot environment.
  • Experience partnering with Product at roadmap level, helping shape priorities rather than working solely from predefined requirements.
  • Experience developing Technical Leads or senior engineers and delegating technical ownership effectively.
  • Exposure to domains such as commodities, energy, logistics or financial markets, where data quality, timeliness and operational reliability are particularly important.
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