At a Glance
- Tasks: Enhance data libraries and support live data feed handlers.
- Company: Aspect Capital, a leading data-driven investment firm in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: 5+ years as a Data Engineer with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 € per year.
Job Requirements
- 5+ years working as a Data Engineer
- Strong expertise with Python and popular data wrangling libraries
- Highly fluent in SQL and good understanding of relational databases
- Familiarity with datasets using Python, Snowflake, and dbt
Responsibilities
- Enhance client libraries to provide unified access to our entire data catalogue
- Support our Java live data feed handlers
- Consolidate legacy MATLAB systems onto our strategic technology stack
- Work closely with quantitative teams
Senior Data Engineer in London - Aspect Capital employer: Aspect Capital
Aspect Capital is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly for those in data engineering roles. Our commitment to cutting-edge technology and a supportive environment makes us an attractive choice for individuals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London - Aspect Capital
✨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 golden when it comes to landing that interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects showcasing your Python and SQL expertise, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data wrangling techniques and SQL queries. We recommend practicing common data engineering problems and being ready to discuss how you’ve tackled similar challenges in your past roles.
✨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 are proactive about their job search. So, get that application in and let’s get the ball rolling!
We think you need these skills to ace Senior Data Engineer in London - Aspect Capital
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Data Engineer, especially your expertise in Python and SQL. We want to see how your skills align with the job requirements, 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 passionate about data engineering and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills:Don’t forget to mention your familiarity with tools like Snowflake and dbt. We’re looking for someone who can hit the ground running, so any specific examples of how you’ve used these technologies will definitely catch our eye.
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Aspect Capital
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and data wrangling libraries. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨SQL is Your Best Friend
Since the role requires fluency in SQL, prepare to answer questions that test your knowledge. Practice writing complex queries and be ready to explain your thought process behind them during the interview.
✨Familiarise Yourself with the Stack
Get to grips with Snowflake and dbt before the interview. Understanding how these technologies fit into the data engineering landscape will show your potential employer that you're proactive and genuinely interested in the role.
✨Showcase Your Collaboration Skills
This position involves working closely with quantitative teams, so be prepared to discuss how you've successfully collaborated in the past. Share examples of how you communicated technical concepts to non-technical stakeholders.
