At a Glance
- Tasks: Design and build infrastructure for data pipelines and machine learning models.
- Company: Vortexa, a fast-growing tech company revolutionising the energy industry.
- Benefits: Flexible working, private health insurance, and global volunteering opportunities.
- Other info: Dynamic environment with opportunities for coaching and career growth.
- Why this job: Join a team using AI and satellite data to transform energy markets.
- Qualifications: Fluent in Python, experienced in distributed systems and scalable data processing.
The predicted salary is between 63000 - 77000 £ per year.
Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole.
The Data Platform Team is responsible for all of Vortexa’s data, ranging from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modelling the global energy flows and tanker fleet distributions.
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. 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.
Key qualifications include:
- Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries.
- Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines.
- Experienced in building distributed heavy-load backend systems that can process terabytes of data daily.
- 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.
- Experience in Rust / Java / Kotlin.
- Experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark – especially deployment, monitoring & debugging.
- Experience with productisation of Machine Learning research projects.
- Understanding of data lake systems and file formats like Parquet, Orc, Athena.
- Some relevant AWS or Kafka certifications.
- Constantly learning and exploring new tools and technologies.
We offer a flexible working policy accommodating both remote & home working, with regular staff events, private health insurance via Vitality, and a global volunteering policy to help you ‘do good’ and feel better.
Senior Software Engineer - Python/AI employer: Vortexa
Vortexa is an exceptional employer located in the heart of Greater London, offering a dynamic hybrid work environment that fosters collaboration and innovation. With a strong emphasis on employee growth and personal development, team members are encouraged to take on new challenges and drive impactful business initiatives. The vibrant company culture not only values individual contributions but also promotes a sense of community, making it a rewarding place for those looking to make a meaningful impact in the tech industry.
