At a Glance
- Tasks: Enhance client libraries and support Java live data feedhandlers.
- Company: Aspect Capital, a dynamic firm in Greater London.
- Benefits: Competitive salary and opportunities for professional growth.
- Other info: Exciting projects in a fast-paced environment.
- Why this job: Join a vibrant team and make an impact in data engineering.
- Qualifications: 5+ years of experience in Python, SQL, and data wrangling.
The predicted salary is between 60000 - 80000 € per year.
Aspect Capital is looking for a skilled Data Engineer with over 5 years of experience. The role involves enhancing client libraries and supporting Java live data feed handlers while consolidating legacy systems. The ideal candidate must have strong expertise in Python and SQL, along with familiarity in using data wrangling libraries, Snowflake, and dbt. This is a fantastic opportunity to work in a dynamic environment in Greater London.
Senior Data Engineer: Build Unified Data Catalogs & Live Feeds in London employer: Aspect Capital
Aspect Capital is an excellent employer that fosters a dynamic and innovative work culture, perfect for skilled professionals looking to make a significant impact in the field of data engineering. Located in Greater London, employees benefit from a collaborative environment that encourages continuous learning and growth, alongside competitive remuneration and comprehensive benefits. Join us to be part of a forward-thinking team that values your expertise and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Build Unified Data Catalogs & Live Feeds in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know someone at Aspect Capital. A friendly chat can sometimes lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Python, SQL, and any data wrangling libraries you've used. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Ace the interview by doing your homework! Research Aspect Capital and their work with live data feeds. Be ready to discuss how your experience aligns with their needs, especially around enhancing client libraries and consolidating legacy systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior Data Engineer: Build Unified Data Catalogs & Live Feeds in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and any data wrangling libraries you've used. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Senior Data Engineer position and how your background makes you a perfect fit for enhancing client libraries and supporting live data feedhandlers.
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled challenges in previous roles, especially those related to consolidating legacy systems. We love seeing how you approach problems and find solutions!
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 fantastic opportunity in Greater London!
How to prepare for a job interview at Aspect Capital
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to data wrangling libraries and Snowflake. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, particularly when consolidating legacy systems. Think of examples where you improved processes or enhanced client libraries. This will demonstrate your ability to think critically and adapt in a dynamic environment.
✨Familiarise Yourself with Live Data Feed Handlers
Since the role involves supporting Java live data feed handlers, it’s a good idea to understand how they work. Even if you haven’t worked directly with Java, being able to discuss the principles behind live data feeds and how they integrate with data engineering will impress your interviewers.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about Aspect Capital's data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
