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- Tasks: Build scalable data solutions and maintain our data infrastructure in a collaborative team.
- Company: Join Boothbay Fund Management, a dynamic multi-manager firm with a global presence.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact on live trading and strategy research while enhancing your skills.
- Qualifications: Degree in a quantitative field and strong Python skills required.
- Other info: Exciting opportunities to work with cutting-edge technologies and small teams.
The predicted salary is between 72000 - 108000 £ 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 launched its flagship strategy in 2014. Boothbay has its primary office in NYC, and additional offices in London, Hong Kong, and Westchester. The firm is operated with an entrepreneurial spirit and is continually seeking to improve and expand.
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. As part of a small team in the early stages of its lifecycle, you will have significant opportunities to make a meaningful impact and contribute to shaping our processes and systems.
Key Responsibilities:
- Contribute components of our mission critical data platform for the purposes of live trading and strategy research.
- Collaborate with researchers to optimize data delivery.
- Make available new datasets.
- Implement data quality checks and monitoring systems.
- Assist in database design and optimization.
- Write clean, maintainable code following best practices.
- Participate in code reviews and documentation.
Qualifications:
- 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.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Preferred Qualifications:
- Experience with columnar DB engines like Clickhouse, KDB/Q or similar.
- Experience with Airflow, Dagster or similar tools.
- Exposure to container technologies: Docker, Podman etc.
- 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.
Primary work location: London, NYC or Westchester (Hybrid).
Data Engineer in England employer: Boothbay Fund Management LLC
Contact Detail:
Boothbay Fund Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Boothbay or similar firms. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data engineering projects, especially those involving Python and ETL processes. Share it during interviews to really impress the hiring team.
✨Tailor Your Approach
When you’re applying, make sure to highlight your relevant skills and experiences that align with the job description. Use keywords from the listing to show you’re a perfect fit for the Data Engineer role at Boothbay.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in England
Some tips for your application 🫡
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 align with 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. Don’t forget to mention any collaborative projects you've worked on – we love teamwork!
Showcase Your Projects: If you've worked on any relevant 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 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 you're keen on joining our team!
How to prepare for a job interview at Boothbay Fund Management LLC
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL processes and database management. Be ready to discuss your experience with Python and any relevant tools like Airflow or DBT, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you optimised data delivery or implemented quality checks, and be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Financial Data
Since the role involves working with financial datasets, it’s a good idea to familiarise yourself with common financial data types and structures. If you have experience with TAQ data or exchange connectivity, make sure to highlight that during your interview.
✨Emphasise Collaboration and Communication
This position values teamwork, so be prepared to discuss how you've collaborated with others in previous roles. Share examples of how you’ve contributed to team projects, participated in code reviews, or helped document processes, as this will show you’re a great fit for their collaborative environment.
