At a Glance
- Tasks: Lead market data engineering projects and enhance system performance on AWS.
- Company: Harrington Starr, a dynamic firm in London focused on high-performance analytics.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Ideal for those seeking a balance between coding and technical leadership.
- Why this job: Tackle engineering challenges while developing cutting-edge solutions in a supportive team.
- Qualifications: Strong C++ and Python skills, with experience in Linux and data tooling.
The predicted salary is between 70000 - 90000 € per year.
Harrington Starr is seeking a Market Data Engineering Lead to oversee equities data pipelines and infrastructure in London. The role requires strong C++ development experience on Linux and solid Python capabilities for data tooling. The successful candidate will lead project lifecycles, enhance system performance on AWS, and mentor a small team. A collaborative environment with a 50/50 split between coding and technical leadership makes this opportunity ideal for those looking to tackle engineering challenges while developing best-in-class solutions.
C++ Market Data Lead — High-Performance Analytics employer: Harrington Starr
Harrington Starr is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to lead projects, mentor a talented team, and enhance your technical skills in a dynamic environment. The company offers competitive benefits and a unique chance to work on high-performance analytics solutions, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land C++ Market Data Lead — High-Performance Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 C++ projects and any data pipelines you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system performance optimisation. Practice common algorithms and data structures, especially those relevant to high-performance analytics.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace C++ Market Data Lead — High-Performance Analytics
Some tips for your application 🫡
Show Off Your C++ Skills:Make sure to highlight your strong C++ development experience in your application. We want to see how you've tackled complex problems and optimised performance in your past projects, especially on Linux.
Demonstrate Your Python Know-How:Since solid Python capabilities are key for this role, don’t forget to mention any data tooling projects you've worked on. We love seeing how you’ve used Python to enhance data processes or improve system efficiency.
Talk About Leadership Experience:As you'll be mentoring a small team, share any previous leadership experiences you have. We’re interested in how you’ve guided others and contributed to project lifecycles, so let us know about your collaborative spirit!
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Harrington Starr
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your past projects and how you've used C++ in high-performance analytics. They’ll likely ask you technical questions, so having a few examples ready will show that you’re not just familiar with the language but can also apply it effectively.
✨Show Off Your Python Skills
Since the role requires solid Python capabilities, be ready to talk about your experience with data tooling in Python. Think of specific instances where you've used Python to solve problems or improve processes. This will demonstrate your versatility and ability to handle the data side of things.
✨Understand AWS and System Performance
Familiarise yourself with AWS services and how they relate to enhancing system performance. Be prepared to discuss any relevant experience you have with cloud infrastructure and how you’ve optimised systems in the past. This knowledge will be crucial for the role and will impress your interviewers.
✨Emphasise Leadership and Collaboration
Since this position involves mentoring a small team, highlight your leadership experience. Share examples of how you've successfully led projects or collaborated with others in a team setting. This will show that you’re not only a strong coder but also someone who can guide and inspire others.
