Data Visualisation Engineer

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 850 experts from 69 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.  
About the Role   As a Senior Data Visualisation Engineer, you will sit at the dynamic intersection of data engineering, product design, and editorial storytelling to unlock actionable insights from complex global trade, commodity, and maritime datasets. Operating with high autonomy, you will push the boundaries of visual communication, transforming intricate data streams into intuitive, beautiful interactive experiences and visual narratives. In this role, your work will directly empower market participants worldwide to extract immediate, strategic value from Kpler’s industry-leading intelligence.

Key Responsibilities

• Discover and pitch data-driven narratives: Proactively interrogate complex commodity, maritime, and geopolitical datasets to uncover compelling, commercially relevant stories without waiting for explicit briefs.
• Deliver end-to-end visual stories: Translate intricate quantitative findings into clear, engaging visual narratives across interactive, static, and animated formats.
• Validate and query complex data: Independently analyze, manipulate, and validate multi-layered datasets using SQL and Python, standing behind published analysis with complete accuracy.
• Prototype cutting-edge interactive tools: Build modern interactive data experiences using contemporary web technologies (JavaScript/TypeScript) and AI-assisted engineering workflows.
• Drive cross-functional alignment: Collaborate closely with product managers, data engineers, market analysts, and product designers from initial hypothesis through final publication.
• Elevate organizational visualization standards: Establish best practices, refine workflows, and mentor peers across the business to raise the bar for data storytelling across Kpler.

Experience & Background

• 7–10 years of experience in data journalism, information design, visual storytelling, or a closely related quantitative field.