Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data solutions and maintain our data infrastructure in a collaborative team.
- Company: Dynamic multi-manager firm with a focus on innovation and growth.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional development.
- Why this job: Make a real impact on data processes and systems in a fast-paced environment.
- Qualifications: Degree in a quantitative field and strong Python skills required.
- Other info: Join a small team with significant opportunities for personal and career growth.
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. 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.
- 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.
- 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.
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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Boothbay. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and ETL processes. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of data management tools. Practice common data engineering problems and be ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply 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 the Boothbay team.
We think you need these skills to ace Data Engineer in Slough
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 through our website for the best chance of getting noticed. It’s super easy, and you'll 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
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL processes and data management tools. Be ready to discuss your experience with Python and how you've used it in past projects, as this 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 previous roles. Think about times when you optimised data delivery or implemented data quality checks, as these experiences will resonate well with the interviewers.
✨Familiarise Yourself with Financial Data Sets
Since the role involves working with financial data, it’s a good idea to familiarise yourself with common financial datasets and their structures. Being able to discuss your experience with these types of data will demonstrate your readiness for the position.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team dynamics and the data infrastructure at Boothbay. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and work style.
