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- Tasks: Design and build core services for enterprise data models in a dynamic team.
- Company: Leading financial technology company at the forefront of innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a top tech team and drive innovations in a fast-paced environment.
- Qualifications: 4+ years experience in C++ or Python and knowledge of distributed systems.
- Other info: Exciting opportunity for collaboration and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A prominent financial technology company is seeking a Senior Software Engineer for its Data Acquisition team in London. You will design and build core services defining the enterprise data model. The role requires over 4 years of experience with C++ or Python, and a solid grasp of distributed systems. Collaboration with various teams is key, making this an exciting opportunity to drive innovations within a leading tech environment.
Senior Software Engineer, Enterprise Data Acquisition (London) employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Enterprise Data Acquisition (London)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your C++ or Python projects. This is a great way to demonstrate your expertise in distributed systems and make a lasting impression.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving coding challenges online. We recommend platforms like LeetCode or HackerRank to sharpen those problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Software Engineer, Enterprise Data Acquisition (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C++ or Python in your application. We want to see how you've used these languages in real-world projects, especially in distributed systems.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience in designing and building core services, as this is what we’re looking for.
Collaboration is Key: Since collaboration is crucial for this role, share examples of how you’ve worked with different teams in the past. We love to see how you can drive innovations together with others!
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 from our team.
How to prepare for a job interview at Bloomberg L.P.
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Python skills. Be ready to discuss your past projects in detail, especially those involving distributed systems. The interviewer will want to see how you’ve applied your technical knowledge in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects you've been part of and how you contributed to their success.
✨Understand the Company’s Data Model
Do some research on the company’s existing data acquisition processes and enterprise data model. This will not only show your interest but also allow you to ask insightful questions during the interview, demonstrating your proactive approach.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your analytical skills. Practice coding challenges related to data structures and algorithms, as well as system design questions that reflect the complexities of distributed systems.