At a Glance
- Tasks: Design and build data platform components using Python and optimise ETL pipelines.
- Company: Join a leading Hedge Fund with a collaborative and innovative culture.
- Benefits: Competitive salary up to £150k, bonus, pension, and career progression opportunities.
- Other info: Work in a dynamic Central London office with a focus on collaboration.
- Why this job: Make a real impact in a hands-on role with cutting-edge technology.
- Qualifications: Strong backend development experience in Python and knowledge of financial data.
The predicted salary is between 120000 - 150000 £ per year.
London, Greater London | £120k - £150k per year
Are you a data savvy Python Developer? You could be joining a Hedge Fund with complex work and substantial bonus earning potential. As a Python Developer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact.
Your role:
- Design and build data platform components using Python
- Develop and optimise ETL pipelines, Data Lakes / Lakehouses and distributed systems
- Improve infrastructure, observability and CI/CD practices
- Maintain and evolve existing systems (microservices, ETL, Excel add-ins)
- Support platform operations, ensuring reliability and performance
Location / WFH: You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
About you:
- You have strong backend development experience with Python
- You have experience of working with financial or market data
- You have experience of designing and operating data-intensive and distributed systems
- You have a strong knowledge of databases (Relational, NoSQL and Columnar)
- You're keen to take ownership and work across the full development lifecycle
- You're collaborative and pragmatic with strong stakeholder management skills
- You have achieved a 2.1 or above in a STEM discipline, likely to have studied to MSc
What's in it for you:
- Salary to £150k
- Bonus
- Pension
- Self development and career progression opportunities
Python Developer SQL - Market Data in London employer: Client Server Ltd.
Client Server Ltd. is an excellent employer, offering a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, the company provides ample opportunities for career progression and competitive compensation packages, including bonuses. Joining our team means being part of an innovative environment where your contributions to designing and optimising data platform components will be valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer SQL - Market Data in London
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We think you need these skills to ace Python Developer SQL - Market Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Client Server Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Client Server Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Client Server Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Client Server Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.