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Data Engineer (Multiple Roles) - AI SaaS

A technology business using satellite data and AI to provide real-time insights on global seaborne energy flows.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
AI · Enterprise SaaS · Energy

Job Description

Vortexa is revolutionizing the energy industry through advanced technology, combining satellite data with artificial intelligence to provide unprecedented transparency in global energy flows. As a Data Engineer, you'll join their R&D team, working on processing massive amounts of data from various sources including satellite data from 600,000 vessels. The role involves building and maintaining complex data pipelines that handle terabytes of data daily, implementing AI models, and ensuring real-time processing capabilities. You'll work with cutting-edge technologies including AWS, Kubernetes, and Airflow, while collaborating with a diverse team of software engineers, data scientists, and market analysts. The position offers a unique opportunity to impact multi-million dollar transactions through data-driven solutions, while working in a startup environment that values innovation and technical excellence. The company provides a flexible working environment, equity options, and comprehensive benefits including health insurance and professional development opportunities. This role is perfect for someone who combines strong technical skills in Java and Python with a passion for solving complex data challenges at scale.

Last updated 2 months ago

Responsibilities For Data Engineer (Multiple Roles) - AI SaaS

  • Design and build infrastructure for pipeline and ML model deployment
  • Process thousands of data points from various external sources
  • Handle terabytes of data in real-time processing
  • Work with software engineers, data scientists and market analysts
  • Ensure 100% uptime and fault-tolerance of data pipelines
  • Coach developers and help improve their skills

Requirements For Data Engineer (Multiple Roles) - AI SaaS

Python
Java
Rust
Kubernetes
Kafka
  • Experience in building and deploying distributed scalable backend data processing pipelines
  • Fluent in both Java and Python (Rust good to have)
  • Knowledge of data lake systems like Athena, and big data storage formats
  • Deep experience of the full software development life cycle (SDLC)
  • Experience with Apache Kafka and streaming frameworks preferred
  • Familiarity with observability principles
  • Experience with web scraping technologies and information extraction preferred

Benefits For Data Engineer (Multiple Roles) - AI SaaS

Equity
Medical Insurance
  • Equity options for all staff
  • Flexible working policy with remote & home working
  • Private Health Insurance via Vitality
  • Global Volunteering Policy
  • Regular staff events
  • Collaborative work environment
  • Opportunity to work with cutting-edge technology

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