At a Glance
- Tasks: Ensure high-quality data for research and modelling while developing data pipelines.
- Company: Established tech company in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on building trusted data.
- Why this job: Join a small team and make a real impact on data quality and research.
- Qualifications: Experience in Python, SQL/PostgreSQL, and a passion for data transformation.
The predicted salary is between 59400 - 72600 £ per year.
Burns Sheehan Ltd is partnering with an established tech company in London to hire a Quant Data Engineer.
You will join a small team working directly with quantitative modellers to ensure reliable, high-quality data for research and modelling.
The role focuses on data quality, pipeline development in Python, SQL/Postgre SQL, and transforming messy datasets into usable assets.
Hybrid work with office presence a couple of days per week.
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Quant Data Engineer (Hybrid, London) — Build Trusted Data employer: Burns Sheehan
Burns Sheehan offers an exceptional work environment in Oxford, where innovation meets collaboration. As a Platform Engineer, you will not only tackle unique engineering challenges but also benefit from a culture that prioritises employee growth and development. With access to cutting-edge technology and a commitment to making a visible impact in the robotics field, this role provides a rewarding opportunity for those looking to thrive in a high-growth technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Data Engineer (Hybrid, London) — Build Trusted Data
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Burns Sheehan!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Burns Sheehan.
✨Apply Directly through Our Website
When you find a suitable opening like Quant Data Engineer (Hybrid, London) — Build Trusted Data at Burns Sheehan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quant Data Engineer (Hybrid, London) — Build Trusted Data
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Burns Sheehan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Burns Sheehan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Burns Sheehan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Burns Sheehan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
