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- Tasks: Develop and maintain data pipelines, optimise storage, and create advanced visualisation applications.
- Company: Leading financial technology firm revolutionising buy-side brokerage services.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a team shaping the future of finance with innovative tech solutions.
- Qualifications: Proficient in Python, with experience in data orchestration and cloud infrastructure.
- Other info: Exciting chance to lead critical product architecture development.
The predicted salary is between 36000 - 60000 £ per year.
Explore the forefront of financial technology with a leader who specialises in buy-side brokerage services - their software provides portfolio managers with differentiated trade idea creation, optimisation, and execution services.
You will:
- Develop and maintain robust data pipelines.
- Integrate and manage market data feeds.
- Optimise data storage and retrieval processes for efficiency.
- Enhance and create advanced data visualisation applications.
Requirements:
- Proficient in Software Python Development.
- 3-5 years experience in software engineering.
- Experience with libraries/frameworks such as Pandas, Numpy, Scipy, etc.
- Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect).
- Experience with cloud infrastructure (AWS, GCP, Azure).
- DevOps skills (CI/CD, containerisation).
- Familiarity with Plotly Dash for interactive data visualisations.
You will play a pivotal role in supporting and scaling their data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as providing high performance data access interface to support analytical software. This is a fantastic opportunity to lead development of the critical part of product architecture. If you’re ready to contribute to pioneering solutions that shape the future of finance, we want to hear from you.
Contact Ciara Clarke for a confidential discussion on this role.
Python Developer in Slough employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Python developers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with libraries like Pandas and Numpy. Practice coding challenges and be ready to discuss your past experiences with data orchestration and cloud infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Developer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python development skills and experience with the specific libraries mentioned in the job description. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include any relevant projects that demonstrate your expertise in data pipelines and visualisation applications. This is your chance to show us what you can do, so don’t hold back!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role and how you can contribute to our team. Be genuine and let your personality shine through – we love to see enthusiasm!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Harrington Starr
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like Pandas, Numpy, and Scipy, and prepare to showcase how you've used them in past projects.
✨Showcase Your Data Pipeline Experience
Since the role involves developing and maintaining data pipelines, be prepared to talk about your experience with orchestration management libraries like Airflow or Prefect. Have specific examples ready that demonstrate your problem-solving skills in this area.
✨Familiarise Yourself with Cloud Infrastructure
The company is looking for someone with cloud experience, so make sure you can discuss your familiarity with AWS, GCP, or Azure. Think of instances where you've leveraged cloud services to optimise data storage and retrieval processes.
✨Prepare for Technical Questions
Expect technical questions related to DevOps practices, CI/CD, and containerisation. Brush up on these topics and be ready to explain how you've implemented them in your previous roles, as this will show your readiness to contribute to their data platform.
