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- Tasks: Join a team to build systems for commodity trading and data analysis.
- Company: Be part of a dynamic company focused on financial data management.
- Benefits: Enjoy flexible work options and a collaborative culture.
- Why this job: Make an impact in the commodities market using cutting-edge technology.
- Qualifications: 5+ years in Python or similar, with strong data processing skills.
- Other info: Ideal for analytical minds interested in finance and technology.
The predicted salary is between 48000 - 72000 £ per year.
Join a team focused on enabling commodity trading through robust engineering and advanced data tooling. You’ll work closely with domain experts to build systems that process alternative data and support modelling, decision-making, and performance analysis.
Collaborate with cloud platform specialists to create scalable systems for financial data management, performance tracking, and risk oversight. Partner with researchers and data teams to construct tools that extract, validate, and prepare external data feeds used in commodities research.
Use statistical and machine learning methods to support analysis in markets such as agriculture, metals, and energy.
- A software developer with 5+ years working in Python or another object-oriented environment.
- Strong familiarity with tools and libraries for data processing and visualization.
- Comfortable deploying applications in cloud ecosystems, particularly AWS, and using infrastructure automation tools.
- Experienced with building data workflows and managing databases; Airflow and SQL are especially valued.
- A pragmatic engineer who follows clean development practices—version control, testing, packaging, etc.
- Analytical and curious, with a background or interest in financial or commodity markets.
- Comfortable working independently while contributing to a collaborative, high-performance culture.
Senior Ontwikkelaar (Python) employer: Charles Levick Limited
Contact Detail:
Charles Levick Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ontwikkelaar (Python)
✨Tip Number 1
Familiarise yourself with the latest trends in commodity trading and financial markets. Understanding the nuances of these areas will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the field, especially those who work with Python in data processing and cloud environments. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Brush up on your knowledge of AWS and infrastructure automation tools. Being able to discuss your experience or understanding of these technologies confidently can set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your experience with data workflows and libraries for data visualisation. Having specific examples ready to discuss can highlight your practical skills and how they align with the job requirements.
We think you need these skills to ace Senior Ontwikkelaar (Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any object-oriented programming languages. Emphasise your familiarity with data processing tools and libraries, as well as your experience in cloud ecosystems like AWS.
Craft a Strong Cover Letter: In your cover letter, express your passion for commodity trading and how your skills align with the role. Mention specific projects where you've used statistical or machine learning methods, and how they relate to financial data management.
Showcase Relevant Experience: When detailing your work history, focus on your experience with building data workflows, managing databases, and using tools like Airflow and SQL. Provide examples of how you've implemented clean development practices in your previous roles.
Highlight Soft Skills: Since the role requires collaboration with various teams, make sure to highlight your ability to work independently while also contributing to a team environment. Mention any experiences that demonstrate your analytical mindset and curiosity about financial markets.
How to prepare for a job interview at Charles Levick Limited
✨Showcase Your Python Expertise
Make sure to highlight your experience with Python and any relevant libraries during the interview. Be prepared to discuss specific projects where you've used Python for data processing or visualisation, as this will demonstrate your technical skills effectively.
✨Demonstrate Your Understanding of Cloud Ecosystems
Since the role involves working with cloud platforms like AWS, be ready to talk about your experience in deploying applications in cloud environments. Discuss any infrastructure automation tools you’ve used, as this will show your capability in creating scalable systems.
✨Discuss Your Experience with Data Workflows
Prepare to explain how you've built data workflows and managed databases in previous roles. Mention specific tools like Airflow and SQL, as familiarity with these will be highly valued by the company.
✨Express Your Analytical Mindset
The role requires a strong analytical approach, so be sure to share examples of how you've applied statistical or machine learning methods in your work. This will not only showcase your technical abilities but also your curiosity and interest in financial or commodity markets.
