DataOps Engineer in London - Quant Capital

DataOps Engineer in London - Quant Capital

London Full-Time 100000 - 120000 £ / year (est.) No working from home possible
Quant Capital

At a Glance

  • Tasks: Join a dynamic team to optimise data operations and enhance financial systems.
  • Company: Quant Capital, a leading firm in financial technology.
  • Benefits: Competitive salary up to £120K and opportunities for professional growth.
  • Other info: Exciting full-time role in London with a focus on innovation.
  • Why this job: Make an impact in the finance sector with your tech skills.
  • Qualifications: 2+ years in financial data, SQL, ETL, and a STEM or accounting degree.

The predicted salary is between 100000 - 120000 £ per year.

Location: London, United Kingdom

Posted about 1 year ago

Tech stack:

  • ETL
  • Powershell
  • Python
  • SQL

Requirements for Ops Engineers:

  • At least 2 years' professional experience in financial data
  • SQL
  • ETL concepts
  • ERP Systems
  • Python or Powershell
  • STEM or accounting degree
  • Ideally some understanding of financial accounting

Compensation: up to £120K

Role type: Full time

Visa sponsorship: Not provided

DataOps Engineer in London - Quant Capital employer: Quant Capital

At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides employees with access to cutting-edge technology and opportunities for professional growth in the financial sector, ensuring that every team member can thrive and make a meaningful impact in their role as a DataOps Engineer.

Quant Capital

Contact Details:

Quant Capital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DataOps Engineer in London - Quant Capital

Tip Number 1

Network like a pro! Reach out to folks in the DataOps space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, or ETL processes. This gives potential employers a taste of what you can do beyond just a CV.

Tip Number 3

Prepare for interviews by brushing up on common DataOps scenarios and challenges. Practise explaining your thought process and how you've tackled similar issues in the past.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might not be listed elsewhere. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace DataOps Engineer in London - Quant Capital

ETL
Powershell
Python
SQL
Financial Data Analysis
ERP Systems
STEM Degree

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with SQL, ETL, and Python. We want to see how your skills match the DataOps Engineer role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about DataOps and how your background in financial data makes you a great fit for us. Keep it concise but impactful!

Showcase Your STEM Background:Since we’re looking for someone with a STEM degree, make sure to mention any relevant coursework or projects that demonstrate your technical skills. This will help us see how you can contribute to our team.

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Quant Capital

Know Your Tech Stack

Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on your SQL, ETL concepts, and Python or Powershell skills. Being able to discuss specific projects where you've used these technologies will show that you're not just familiar but also experienced.

Understand Financial Data

Since this role involves financial data, it’s crucial to have a solid understanding of financial accounting principles. Do some research on common financial metrics and how they relate to data operations. This knowledge will help you answer questions more effectively and demonstrate your relevance to the role.

Prepare for Behavioural Questions

Expect behavioural questions that assess your problem-solving skills and teamwork. Think of examples from your past experience where you successfully tackled challenges or collaborated with others. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the tools they use, or how they measure success in the role. This shows your genuine interest in the position and helps you determine if it's the right fit for you.