At a Glance
- Tasks: Design and build reliable data systems for trading with a focus on real-time analytics.
- Company: Maven Securities, a dynamic firm in Greater London, is at the forefront of market making.
- Benefits: Competitive pay, private healthcare, pension plan, and a supportive work environment.
- Other info: Exciting opportunities for growth in a fast-paced trading environment.
- Why this job: Join a team that values innovation and collaboration while working with cutting-edge data technologies.
- Qualifications: Strong Python skills, SQL experience, and familiarity with Docker and Kubernetes.
The predicted salary is between 60000 - 80000 £ per year.
Maven Securities, based in Greater London, is looking for a skilled data engineer to design and build reliable data systems for trading. You will collaborate with traders and researchers to manage large datasets and ensure efficient data pipelines.
The ideal candidate has excellent Python skills, experience with SQL, and knowledge of containerisation technologies like Docker and Kubernetes.
The position offers competitive compensation and a range of benefits including private healthcare and a pension plan.
Python Engineer, Real-Time Data & Analytics — Market Making employer: Maven Securities
Maven Securities is an exceptional employer that prioritises employee development and offers a dynamic work culture in the heart of London. With comprehensive training programmes and opportunities for growth, employees are empowered to excel in their roles while contributing to a collaborative team environment focused on regulatory excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer, Real-Time Data & Analytics — Market Making
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Maven Securities. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any data systems you've built. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL and containerisation technologies. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 at Maven Securities. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Python Engineer, Real-Time Data & Analytics — Market Making
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used Python in real-world scenarios, especially in data engineering or analytics.
SQL is Key:Don’t forget to mention your experience with SQL! We’re looking for someone who can handle large datasets, so share any relevant projects or tasks where you’ve used SQL effectively.
Containerisation Know-How:If you’ve worked with Docker or Kubernetes, let us know! These skills are super important for the role, so include any specific examples of how you’ve used these technologies in your previous work.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Maven Securities
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any specific libraries or frameworks you've used in data engineering. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨SQL Savvy is a Must
Since the role requires SQL knowledge, prepare to answer questions about database design and query optimisation. You might be asked to write SQL queries on the spot, so it’s a good idea to review common SQL functions and practice writing queries that manipulate large datasets.
✨Containerisation Knowledge Counts
Familiarise yourself with Docker and Kubernetes, as these are key technologies for this position. Be prepared to discuss how you've used them in past projects, and think of examples where they helped improve your workflow or data management processes.
✨Collaborative Mindset
This role involves working closely with traders and researchers, so highlight your teamwork skills. Think of examples where you've successfully collaborated on projects, and be ready to discuss how you handle feedback and adapt to different working styles.
