Vortexa

Building the future of energy markets Vortexa tracks more than $3 trillion of waterborne energy trades per year in real-time, providing energy and shipping companies with the most complete picture of global energy flows available in the world today. Vortexa’s highly intuitive web-based app and programmatic API/SDK interfaces help traders, analysts and charterers make high-value trading decisions with confidence, when it matters the most. The web-based platform shares highly detailed oil & gas products flows, produced by hard data, machine learning and state-of-the-art technology with oversight from in-house global industry experts providing real-world context to continually train and improve the models.

vortexa.com

Vortexa

vortexa.com

HQGB

Team Size207

Open Jobs13

Total Funding$58M

Latest FundraiseUnknown

TL;DR

Headquarters & founding: London; founded 2016

Product: Real-time AI-driven energy cargo and freight analytics platform (web app + API/SDK)

Market focus: Seaborne energy flows: crude oil, refined products, LPG, LNG

Notable funding: Series C $34M (Jan 2024) led by Morgan Stanley Expansion Capital

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Company Overview

Problem Domain

Visibility and analytics for global seaborne energy (oil & gas) trading and shipping markets.

Founded

2016

Industry

Software Development

Funding Track Record

Series C- 2024-01-08

$34M

Debt Financing- 2024-10-22

Reported as a debt financing round

Investor Signal

“Backed by growth- and venture-focused investors including Morgan Stanley Expansion Capital, Notion Capital, Monashees, Metaplanet, FJ Labs and Communitas Capital”

Founders

What we do

Join the Team

Data Engineer

On-SiteLondon, GB

On-Site • London, GB

Who you are

Experienced in building and deploying distributed scalable backend data processing pipelines that can go through terabytes of data daily using AWS, K8s, and Airflow
With solid software engineering fundamentals, fluent in both Java and Python (with Rust good to have)
Knowledgeable about data lake systems like Athena, and big data storage formats like Parquet, HDF5, ORC, with a focus on data ingestion
Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided
Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role
Passionate about coaching developers, helping them improve their skills and grow their careers
Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations
Have experience with Apache Kafka and streaming frameworks, e.g., Flink,
Familiar with observability principles such as logging, monitoring, and tracing
Have experience with web scraping technologies and information extraction

What the job involves

Processing thousands of rich data points per second from many and vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering

Benefits

A flexible working policy - accommodating both remote and home working, with regular staff events
Workplace Pension Scheme via The People's Pension
Private Health Insurance offered via Vitality to help you look after your physical health
Global Volunteering Policy to help you 'do good' and feel better

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

AI Researcher

ContractSan Francisco, US

Contract • San Francisco, US

AI Researcher

Full-timeBerlin, DE

Full-time • Berlin, DE

Product Designer

InternshipLondon, GB

Internship • London, GB

Software Engineer

Full-timeMunich, DE

Full-time • Munich, DE

Frontend Developer

ContractMunich, DE

Contract • Munich, DE

Backend Developer

Full-timeCambridge, GB

Full-time • Cambridge, GB

This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires

The Data Production Team is responsible for all of Vortexa’s data. It ranges from mixing raw satellite data from 600,000 vessels with rich but incomplete text data, to generating high-value forecasts such as the vessel destination, cargo onboard, ship-to-ship transfer detection, dark vessels, congestion, future prices, etc

The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way

The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions

You’ll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models

Working with software and data engineers, data scientists and market analysts, you’ll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines