Senior Data Engineer in London - Aspect Capital

Senior Data Engineer in London - Aspect Capital

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Aspect Capital

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.

Aspect Capital

Contact Details:

Aspect Capital Recruitment Team

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 opportunities that aren’t even advertised.

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 it during interviews. It’s a great way to demonstrate your hands-on experience.

Tip Number 3

Prepare for technical interviews by brushing up on your data wrangling techniques. Practice common SQL queries and Python scripts that you might encounter. We want you to feel confident when tackling those technical challenges!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior Data Engineer in London - Aspect Capital

Data Engineering
Python
Data Wrangling Libraries
SQL
Relational Databases
Snowflake
dbt

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 Stack

Make sure you brush up on your Python skills and get familiar with the data wrangling libraries mentioned in the job description. Be ready to discuss how you've used these tools in past projects, as well as any experience you have with Snowflake and dbt.

SQL Mastery is Key

Since SQL is a big part of the role, practice writing complex queries and be prepared to explain your thought process. You might even be asked to solve a problem on the spot, so having a solid grasp of relational databases will definitely give you an edge.

Showcase Your Problem-Solving Skills

Aspect Capital is looking for someone who can enhance client libraries and consolidate systems. Think of examples from your previous work where you tackled similar challenges and be ready to share how you approached them and what the outcomes were.

Collaborate and Communicate

This role involves working closely with quantitative teams, so highlight your teamwork and communication skills. Prepare to discuss how you've collaborated with others in the past, especially in technical environments, to ensure everyone is on the same page.