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Kpler

Senior Data Visualisation Engineer

London
Posted about 2 months ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Experience & Background

  • 7–10 years of experience in data journalism, information design, visual storytelling, or a closely related quantitative field.
  • Proven ability to independently query, interrogate, and validate complex datasets (using SQL, Python, or similar tools) and defend published insights confidently.
  • Strong spatial analysis skills and proficiency with GIS technologies to analyse location-based data and spatial relationships.
  • Technical proficiency with modern web technologies (JavaScript/TypeScript and contemporary front-end frameworks) alongside an enthusiasm for AI-assisted development workflows.
  • Exceptional visual communication skills and a strong portfolio demonstrating clear editorial judgement and narrative structure across data-driven projects.

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Nice-to-haves

  • Degree/MSc in Locational Analytics, Design, Statistics, Computer Science, or a related discipline.
  • Existing interest in or familiarity with global commodities, energy markets, trading, or maritime transportation.
  • Strong desire to experiment with AI tools and continuously iterate on novel design and engineering workflows

We are a dynamic company

  • 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.

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Location

London, England, United Kingdom

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