Data Engineer, Graduate or Industrial Placement- Sept 2025 start

Vortexa uses massive amounts of satellite data and artificial intelligence to create an unprecedented view on global seaborne energy flows in real-time, bringing transparency and efficiency to energy markets and society.
Data
Software Engineering Intern
Hybrid
AI · Enterprise SaaS

Description For Data Engineer, Graduate or Industrial Placement- Sept 2025 start

Vortexa, a pioneering company in the energy industry, is seeking a Data Engineer for a Graduate or Industrial Placement starting September 2025. This role offers an exciting opportunity to work with cutting-edge technology, processing thousands of data points per second from various external sources.

As part of the Data Production Team, you'll be responsible for Vortexa's comprehensive data operations, ranging from mixing raw satellite data with rich text data to generating high-value forecasts. You'll work on designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models.

This role provides excellent learning opportunities in data engineering, machine learning, and business operations. You'll be an integral part of a team of 3-5 engineers and data scientists, contributing to the same goals and roadmap. Key technologies you'll work with include Python, Java, SQL, AWS, Docker, Airflow, MLFlow, Kubernetes, Kafka/Redpanda, and more.

The ideal candidate should be fluent in software engineering fundamentals, driven by working in an intellectually engaging environment, and excited about the challenges of a start-up. Proficiency in Python and comfort with Pandas/Numpy are essential.

Benefits include equity options, a flexible working policy, private health insurance, and a global volunteering policy. Join Vortexa to be part of a vibrant, diverse company pushing the boundaries of technology in the energy sector.

For placements longer than 6 months, you'll have the opportunity to change teams halfway through, further broadening your experience and skills.

Last updated 2 months ago

Responsibilities For Data Engineer, Graduate or Industrial Placement- Sept 2025 start

  • Design and build infrastructure and applications
  • Deploy and benchmark pipelines and ML models
  • Ensure 100% uptime and fault-tolerance of data pipelines
  • Extract, transform, and load data at scale
  • Prototype, improve, and deploy machine learning algorithms
  • Interact with experts from the energy industry

Requirements For Data Engineer, Graduate or Industrial Placement- Sept 2025 start

Python
Java
Rust
Kubernetes
Kafka
  • Fluent in software engineering fundamentals
  • Driven by working in an intellectually engaging environment
  • Excited about working in a start-up environment
  • Fluent in Python, and comfortable with Pandas / Numpy

Benefits For Data Engineer, Graduate or Industrial Placement- Sept 2025 start

Equity
Medical Insurance
  • Vibrant, diverse company environment
  • Motivated team of top minds
  • Constant learning and exploration of new tools and technologies
  • Equity options for all staff
  • Collaborative work culture
  • Flexible working policy
  • Private Health Insurance via Vitality
  • Global Volunteering Policy

Interested in this job?

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