At a Glance
- Tasks: Join a dynamic team to tackle complex data challenges and enhance data processes.
- Company: A growing tech business focused on innovative data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work in a supportive team with a focus on best practices and data quality.
- Why this job: Make a real impact by shaping the future of data in a collaborative environment.
- Qualifications: 5-6+ years in Data Engineering, strong SQL, PostgreSQL, and Python 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.
- 5-6+ years of experience in Data Engineering or similar roles
- Strong SQL and PostgreSQL experience
- Production-level Python
- 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)
Senior Data Engineer - Hybrid in London employer: Burns Sheehan
Join a dynamic and innovative tech business in London, where your expertise as a Senior Data Engineer will be valued and nurtured. With a strong focus on employee growth, collaborative work culture, and a commitment to investing in cutting-edge data capabilities, this role offers you the chance to make a significant impact while enjoying the flexibility of a hybrid working model. Embrace the opportunity to work alongside talented Quant Researchers and Modellers, and contribute to shaping a robust data function in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies you're interested in. A personal referral can make all the difference!
✨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 common data engineering challenges. Be ready to discuss how you've tackled complex problems in the past and how you can bring structure to their data processes.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer - Hybrid in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our team. Be specific about your problem-solving skills and any relevant projects you've worked on.
Showcase Your Projects:If you've built or improved data platforms or workflows, make sure to mention them! We love seeing real examples of your work, so include links or descriptions of projects that demonstrate your expertise.
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 shows us you’re keen to join our team!
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 specific projects where you've built or improved data platforms, pipelines, or workflows. This will show that you not only have the technical know-how but also practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data challenges you've faced and how you tackled them. Think about the methods you used to improve data quality and reliability. This will demonstrate your analytical mindset and ability to drive best practices.
✨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 data challenges, and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
