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- Tasks: Design and build infrastructure for scalable data processing and machine learning models.
- Company: Vortexa, a fast-growing tech company revolutionising the energy industry with AI and satellite data.
- Benefits: Equity options, private health insurance, flexible working, and a vibrant team culture.
- Other info: Collaborative environment with opportunities for continuous learning and career growth.
- Why this job: Join a dynamic startup and make a real impact on global energy transparency.
- Qualifications: Fluent in Python, experienced in distributed systems and passionate about mentoring others.
The predicted salary is between 60000 - 80000 £ 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. The team’s ownership ranges 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 modeling 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. 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.
Requirements:
- You Are:
- 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
- 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
- Experienced in building distributed heavy-load backend systems that can go through 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
Awesome If You:
- Are experienced in Rust / Java / Kotlin
- Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark – especially deployment, monitoring & debugging
- Have experience with productisation of Machine Learning research projects
- Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes
- Understand data lake systems and file formats like Parquet, Orc, Athena
- Have some relevant AWS or Kafka certifications
Benefits:
- A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge
- A team of motivated characters and top minds striving to be the best at what we do at all times
- Constantly learning and exploring new tools and technologies
- Acting as company owners (all Vortexa staff have equity options)– in a business-savvy and responsible way
- Motivated by being collaborative, working and achieving together
- A flexible working policy- accommodating both remote & home working, with regular staff events
- 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
Senior Software Engineer- Python in London employer: Vortexa
Contact Detail:
Vortexa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer- Python in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Vortexa employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data processing or machine learning. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on distributed systems and scalable data processing. Practice coding challenges and be ready to discuss your past projects in detail—this is where you can really shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Vortexa team.
We think you need these skills to ace Senior Software Engineer- Python in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer role. Highlight your Python expertise and experience with scalable data processing libraries. We want to see how your skills align with what we do at Vortexa!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for working in a start-up environment and how you can contribute to our mission of bridging the information gap in the energy industry. Let us know why you're excited about this opportunity!
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to showcase them. We love seeing real-world applications of your skills, especially in building distributed systems or machine learning models. It gives us a glimpse of what you can bring to the team!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Vortexa
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with scalable data processing libraries and how you've applied them in real-world scenarios. Vortexa is looking for someone who can demonstrate a deep understanding of software engineering fundamentals.
✨Showcase Your Distributed Systems Knowledge
Prepare to talk about your experience with distributed systems and micro-service architectures. Think of specific examples where you've built or improved scalable data processing pipelines. This will show that you understand the complexities involved in handling terabytes of data daily.
✨Embrace the Start-Up Spirit
Vortexa thrives in a fast-paced start-up environment, so be ready to share your experiences in similar settings. Highlight your excitement for tackling challenges and bringing new ideas to production. A positive attitude and a willingness to push boundaries will resonate well with the team.
✨Be Ready to Discuss Coaching and Collaboration
Since Vortexa values teamwork and mentorship, think about how you've helped other developers grow in their careers. Share specific instances where you've coached colleagues or contributed to a collaborative project. This will demonstrate your commitment to fostering a supportive work environment.