At a Glance
- Tasks: Enhance data infrastructure using Python, Snowflake, and dbt while collaborating with quantitative teams.
- Company: Aspect Capital, a leading firm in the financial sector based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting opportunity to work on real-time data feeds in a collaborative environment.
- Why this job: Join a dynamic team to optimise technology and make a real impact in finance.
- Qualifications: Experience with Python, Snowflake, and legacy MATLAB systems is essential.
The predicted salary is between 60000 - 80000 € per year.
Aspect Capital in Greater London is seeking a Data Engineer to enhance data infrastructure using Python, Snowflake, and dbt. The role involves improving client libraries for unified access and supporting Java live data feed handlers. Candidates should demonstrate experience with legacy MATLAB systems. This position requires close collaboration with quantitative teams to optimize the strategic technology stack.
Data Engineer – Data Platform & Real-Time Feeds employer: Aspect Capital
Aspect Capital is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a supportive environment that prioritises professional growth, with opportunities to work alongside leading quantitative teams and enhance their technical skills in cutting-edge technologies like Python and Snowflake. The company's commitment to employee development and its focus on impactful projects make it a rewarding place for those seeking meaningful careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Data Platform & Real-Time Feeds
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Aspect Capital on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with Python, Snowflake, and dbt. This hands-on approach can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your experience with legacy MATLAB systems and how they relate to modern data engineering. We want to hear how you can bridge the gap!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Aspect Capital.
We think you need these skills to ace Data Engineer – Data Platform & Real-Time Feeds
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, Snowflake, and dbt in your application. We want to see how you've used these tools in past projects, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention your experience with legacy MATLAB systems and how it relates to the position. We love seeing candidates who take the time to connect their skills to our needs.
Collaborate Like a Pro:Since this role involves working closely with quantitative teams, share examples of how you’ve successfully collaborated in the past. We’re looking for team players who can communicate effectively!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Aspect Capital
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Snowflake, and dbt. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. It’s also a good idea to have examples of how you’ve improved data infrastructure or worked with live data feeds.
✨Showcase Your Collaboration Skills
Since this role involves working closely with quantitative teams, be prepared to talk about your experience collaborating with others. Think of specific instances where you’ve successfully partnered with different teams to achieve a common goal, especially in optimising technology stacks.
✨Understand Legacy Systems
Don’t forget to highlight your experience with legacy MATLAB systems. Be ready to explain how you’ve navigated challenges with older technologies and how you can bridge the gap between legacy systems and modern solutions.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company’s data strategy and how they envision the Data Engineer role evolving. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
