At a Glance
- Tasks: Join a small team to tackle complex data challenges and enhance data functions.
- Company: A growing tech business focused on data innovation.
- Benefits: Competitive salary up to £85,000, hybrid work, and great perks.
- Other info: Dynamic role with opportunities for professional growth in a supportive environment.
- Why this job: Shape the future of data while collaborating with Quant Researchers and Modellers.
- Qualifications: 5-6+ years in Data Engineering, strong SQL, Python skills, and problem-solving mindset.
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 employer: Burns Sheehan
Join a dynamic tech business in London that prioritises innovation and employee development. With a strong focus on enhancing data capabilities, the company fosters a collaborative work culture where your expertise will directly influence the growth of the data function. Enjoy competitive benefits and the opportunity to work alongside talented professionals in a hybrid environment, making this an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering or quant roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and complex datasets. 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 problem-solving scenarios. Think about how you've tackled challenges in past roles and be ready to discuss your thought process. Employers love to see how you approach complex data issues!
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Quant Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Quant Data Engineer role. Highlight your SQL, PostgreSQL, and Python expertise, and don’t forget to showcase your experience with complex datasets!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for our team. Share specific examples of how you've improved data platforms or solved challenging problems in your previous roles. We love a good story!
Showcase Your Problem-Solving Skills:In your application, emphasise your strong problem-solving abilities. Give us a glimpse into how you approach challenges and improve data quality. We want to see your thought process and creativity!
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. Let’s get started on this journey together!
How to prepare for a job interview at Burns Sheehan
✨Know Your Data Inside Out
Make sure you’re well-versed in the data engineering concepts relevant to the role. Brush up on your SQL and PostgreSQL skills, and be ready to discuss how you've worked with large datasets in the past. Prepare examples of how you've built or improved data platforms, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think of specific instances where you faced complex problems and how you approached them. This is your chance to demonstrate your analytical thinking and how you can bring structure to existing processes.
✨Understand the Business Context
Research the company and its data function. Understand their goals and how your role as a Senior Quant Data Engineer fits into their vision. This will help you tailor your answers and show that you're genuinely interested in contributing to their growth.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future data initiatives. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values. Plus, it’s a great way to engage with your interviewers!
