At a Glance
- Tasks: Build scalable data solutions and maintain our data infrastructure in a collaborative team.
- Company: Join Boothbay Fund Management, a leading multi-manager firm with a global presence.
- Benefits: Competitive salary, performance bonuses, and hybrid work options in vibrant cities.
- Why this job: Make an impact in finance by optimising data delivery for live trading and research.
- Qualifications: Degree in a quantitative field and strong Python skills required.
- Other info: Exciting opportunities for growth in a dynamic, innovative environment.
The predicted salary is between 72000 - 108000 Β£ per year.
Boothbay Fund Management, LLC is a multi-manager, multi-strategy firm with 100+ alternative asset managers trading strategies across a spectrum of asset classes globally. Boothbay has its primary office in NYC, and additional offices in London, Hong Kong, and Westchester.
We are seeking a talented Data Engineer to join the growing data team within our Quantitative Management Division. This position is ideal for individuals who are passionate about building scalable data solutions, eager to learn in a collaborative environment, and excited to work in small teams while taking advantage of opportunities to lead and enhance both themselves and their teammates.
In this role, you will:
- Collaborate with experienced engineers to build and maintain our data infrastructure.
- Develop efficient data pipelines and ensure data quality across our systems.
- Contribute components of our mission critical data platform for the purposes of live trading and strategy research.
- Collaborate with researchers to optimize data delivery.
- Implement data quality checks and monitoring systems.
- Assist in database design and optimization.
Requirements:
- A degree in Computer Science, Mathematics, Physics or other quantitative discipline. Postgraduate an advantage.
- Experience with financial data sets.
- Very strong Python, with emphasis on data engineering and systems programming.
- Good understanding of ETL processes, databases and other data management tools such as data lakes and DBT.
- Some exposure to DB Engine operation, clustering, performance tuning, backups.
- Linux/Unix experience.
- Experience with columnar DB engines like Clickhouse, KDB/Q or similar.
- Knowledge of 'big data' technologies (Hadoop, Spark, Parquet).
- Experience with TAQ data, and exchange connectivity.
Compensation: Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible for discretionary bonus commensurate with performance. Location: London, NYC or Westchester (Hybrid).
Ingegnere Dei Dati in City of London employer: Boothbay Fund Management LLC
Contact Detail:
Boothbay Fund Management LLC Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Ingegnere Dei Dati in City of London
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Boothbay. A friendly chat can open doors and give you insider info that could help you stand out.
β¨Tip Number 2
Show off your skills! If you've got a portfolio or any projects related to data engineering, make sure to highlight them during interviews. We love seeing practical examples of what you can do!
β¨Tip Number 3
Prepare for technical questions! Brush up on your Python and ETL processes, as well as big data technologies. We want to see that you're not just passionate but also knowledgeable about the tools we use.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Boothbay.
We think you need these skills to ace Ingegnere Dei Dati in City of London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, ETL processes, and any relevant financial data sets. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team. Donβt forget to mention any collaborative projects you've worked on β we love teamwork!
Showcase Your Projects: If you've worked on any cool data projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience with data solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itβs super easy, and youβll be one step closer to joining our awesome team at Boothbay Fund Management!
How to prepare for a job interview at Boothbay Fund Management LLC
β¨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering concepts, especially those mentioned in the job description. Be ready to discuss your experience with ETL processes, databases, and big data technologies like Hadoop and Spark. This will show that you're not just familiar with the terms but can actually apply them.
β¨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python in past projects. Practise writing clean, efficient code and be ready to discuss your thought process.
β¨Collaborate Like a Pro
This position emphasises teamwork, so be prepared to talk about your experiences working in small teams. Share examples of how you've collaborated with others to build data solutions or optimise processes. Highlight your ability to communicate effectively and support your teammates.
β¨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions that show your interest in the company and the role. Ask about the data infrastructure they currently have in place, the challenges they face, or how they measure success in the data team. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.