At a Glance
- Tasks: Join a small team to work with complex data and solve challenging problems.
- Company: A growing tech business investing in its data capabilities.
- Benefits: Competitive salary up to £85,000, hybrid work, and great benefits.
- Other info: Opportunity for career growth and collaboration with Quant Researchers.
- Why this job: Shape a growing data function and drive best practices in a dynamic environment.
- Qualifications: 5-6+ years in Data Engineering, strong SQL, Python, and problem-solving skills.
The predicted salary is between 85000 - 85000 £ per year.
We're working with a growing tech business looking for a Senior Quant Data Engineer to join a small team working closely with Quant Researchers and Modellers. This is a great opportunity for someone who enjoys working with complex data, solving challenging problems, and helping shape a growing data function. The business is investing heavily in its data capability and is looking for someone who can bring structure, challenge existing processes, and help drive best practices.
We're particularly interested in people with:
- 5-6+ years of experience in Data Engineering or similar roles
- Strong SQL and PostgreSQL experience
- Production-level Python
- Experience working with large and complex datasets
- A track record of building and improving data platforms, pipelines, or workflows
- Strong problem-solving skills and a passion for improving data quality and reliability
London (2 days per week in the office)
Up to £85,000 + benefits
If you'd be interested in hearing more, feel free to drop me a message or send your CV to emy@burnssheehan.co.uk.
Senior Quant Data Engineer in London employer: Burns Sheehan
Join a dynamic tech business in London that prioritises innovation and employee development. With a strong focus on data capabilities, the company fosters a collaborative work culture where your expertise will directly influence the growth of the data function. Enjoy competitive benefits, a hybrid working model, and ample opportunities for professional growth in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, PostgreSQL, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios that demonstrate your ability to work with complex datasets and improve data quality.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Senior Quant Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Engineering and showcases your strong SQL and PostgreSQL skills. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Showcase Problem-Solving Skills:In your application, share specific examples of how you've tackled complex data challenges in the past. We love seeing candidates who can demonstrate their problem-solving prowess and passion for improving data quality.
Highlight Your Technical Skills:Don’t forget to mention your production-level Python experience! We’re looking for someone who can work with large datasets, so make sure to detail any relevant tools or technologies you’ve used in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Burns Sheehan
✨Know Your Data Inside Out
Make sure you brush up on your SQL and PostgreSQL skills before the interview. Be ready to discuss how you've worked with large datasets in the past, and think of specific examples where you've improved data quality or reliability.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenging problems you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Context
Research the company and its data function. Understand their current challenges and be ready to suggest how you can bring structure and best practices to their data processes. This shows you're not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Ask about their data strategy, the tools they use, or how they measure success in their data initiatives. This will help you stand out as a candidate who is genuinely engaged.
