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For Companies At a Glance
- Tasks: Analyse and manage data to support trading decisions and generate insights.
- Company: Jane Street, a leading firm in trading and data analysis.
- Benefits: Competitive salary, learning opportunities, and a collaborative work environment.
- Why this job: Dive deep into data and collaborate with traders and engineers to make an impact.
- Qualifications: Strong programming skills, SQL experience, and a passion for data quality.
- Other info: No finance background needed; we’ll teach you what you need to know.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.
Using our mix of in-house and open-source software, you will analyse datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.
You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers. While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.
About You
- Top-notch programming skills in any language (Python a plus)
- Experience with using SQL and relational databases
- Experience with generating data visualizations
- Meticulous approach to data quality and validation
- Clear and concise communication skills; able to efficiently analyse and deconstruct technical problems
- Fluency in English required
Data Engineer in London employer: Jane Street
Contact Detail:
Jane Street Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data engineers on LinkedIn. 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 data analysis and visualisation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, Python, and any ETL processes you've worked on. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills and experience with SQL. We want to see how your background aligns with the Data 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 excited about the role and how your skills can help us at Jane Street. Keep it clear and concise, just like we value in our communication.
Showcase Your Data Skills: If you've worked on data visualisations or ETL processes, make sure to mention them! We love seeing examples of how you've tackled data challenges in the past, so feel free to include links to your work if possible.
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’s super easy!
How to prepare for a job interview at Jane Street
✨Know Your Data Tools
Make sure you’re familiar with the tools and technologies mentioned in the job description, especially SQL and Python. Brush up on your programming skills and be ready to discuss how you've used these languages in past projects.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled data quality issues or anomalies in previous roles. Be ready to explain your thought process and the steps you took to ensure data integrity, as this will demonstrate your meticulous approach.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be working with traders and software engineers, being able to communicate your findings clearly is crucial. Consider doing mock interviews with friends to refine your communication style.
✨Be Ready to Collaborate
Think about times when you’ve worked in a team to solve a problem. Be prepared to discuss how you can contribute to a collaborative environment, as this role requires working closely with colleagues from different backgrounds.
