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- Tasks: Design and maintain market data environments while developing analytics for financial products.
- Company: Join hackajob, a dynamic tech company in Greater London.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days annual leave.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make an impact in finance with your coding skills and innovative ideas.
- Qualifications: Proficient in C#, Python, or Java, with a solid grasp of databases.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is hiring a Software Engineer to design, build, and maintain its market data environment in Greater London. This dynamic role involves developing critical data and analytics for financial products while collaborating closely with internal teams.
Ideal candidates have strong proficiency in programming languages such as C#, Python, or Java, along with a solid understanding of databases and data structures.
Perks include a hybrid working policy, private medical insurance, and 25 days annual leave.
Market Data Software Engineer — Analytics & Big Data in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Software Engineer — Analytics & Big Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend local meetups. 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 GitHub profile showcasing your projects, especially those using C#, Python, or Java. 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 data structures and algorithms. Practice coding challenges online to get comfortable with problem-solving under pressure. We all know how crucial this is for a Market Data Software Engineer role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Market Data Software Engineer — Analytics & Big Data in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming prowess in C#, Python, or Java. We want to see how you can bring your technical skills to the table, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your experience aligns with our needs, especially in data analytics and financial products.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the heart of your experience.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at hackajob
✨Know Your Tech Stack
Make sure you brush up on your programming languages, especially C#, Python, and Java. Be ready to discuss your experience with these languages and how you've used them in past projects. It’s a great way to show your technical prowess!
✨Understand Data Structures
Since the role involves working with databases and data structures, take some time to review key concepts. Be prepared to explain how different data structures can impact performance and efficiency in analytics. This will demonstrate your depth of knowledge.
✨Show Your Collaborative Spirit
This position requires close collaboration with internal teams, so think of examples where you’ve successfully worked in a team setting. Highlight your communication skills and how you’ve contributed to group projects in the past.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s market data environment and their approach to analytics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you too!