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- Tasks: Manage and develop data pipelines for real-time trading strategies.
- Company: Leading global investment management firm with a focus on innovation.
- Benefits: Dynamic work environment, collaboration opportunities, and career growth.
- Why this job: Join an experienced team and make an impact in the finance sector.
- Qualifications: 5+ years in Data Engineering, STEM degree, strong Python skills.
- Other info: Collaborate with vendors to enhance operational reliability.
The predicted salary is between 43200 - 72000 £ per year.
A leading global investment management firm is seeking a Data Engineer to join an experienced team. In this role, you will be responsible for managing data streams that power trading strategies, focusing on the development and maintenance of robust data pipelines.
Candidates should have:
- 5+ years of Data Engineering experience
- A degree in a STEM discipline
- Strong skills in Python and data quality assurance
The position offers a dynamic working environment with opportunities to collaborate with vendors and enhance operational reliability.
Data Engineer: Real-Time Trading Data Pipelines employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Real-Time Trading Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment management sector and let them know you're on the hunt for a Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your Python prowess and data quality assurance skills, making it easier for potential employers to see what you bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in previous roles. Practising common interview questions can help you feel more confident when discussing your experience with real-time trading data.
✨Tip Number 4
Don't forget to apply through our website! We’ve got a range of opportunities that could be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates, so make sure to check us out!
We think you need these skills to ace Data Engineer: Real-Time Trading Data Pipelines
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of Data Engineering experience in your application. We want to see how you've tackled challenges and built robust data pipelines in the past!
Get Technical: Since this role focuses on Python and data quality assurance, don’t forget to mention your technical skills. Share specific projects or examples where you’ve used these skills effectively.
Tailor Your Application: Take a moment to customise your application for this role. We love seeing candidates who understand our needs and can demonstrate how they fit into our dynamic working environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Aurum Search Limited
✨Know Your Data Pipelines
Make sure you can discuss your experience with data pipelines in detail. Be ready to explain how you've developed and maintained them in previous roles, especially in a trading context. Highlight any specific tools or frameworks you've used.
✨Showcase Your Python Skills
Since strong Python skills are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your Python knowledge and be ready to discuss your past projects where you've used it effectively.
✨Emphasise Data Quality Assurance
Data quality is key in trading environments. Be prepared to talk about your approach to ensuring data integrity and reliability. Share examples of how you've identified and resolved data quality issues in your previous work.
✨Collaborate and Communicate
This role involves working with vendors and other teams, so highlight your collaboration skills. Think of examples where you've successfully worked in a team setting or communicated complex data concepts to non-technical stakeholders.
