At a Glance
- Tasks: Join our Risk Engineering team to enhance a critical platform for liquidity monitoring.
- Company: Insight Global is a leading financial client focused on regulatory compliance.
- Benefits: Work on impactful projects with a collaborative team and gain valuable experience.
- Why this job: Contribute to high-stakes projects while developing your skills in a dynamic environment.
- Qualifications: 3+ years of Java/Python experience and familiarity with large datasets required.
- Other info: Opportunity to work with cutting-edge technologies and improve your coding expertise.
The predicted salary is between 48000 - 72000 £ per year.
Day to day:
Insight global's leading financial client is seeking a talented Backend Engineer to join our Risk Engineering team. The successful candidate will work on a critical platform that provides daily liquidity monitoring reports to US regulators. This role involves collaborating with engineers, business analysts, and the wider reporting team to gather requirements, enhance the platform, conduct UAT exercises, and address any questions that arise throughout this process. This is a high-impact project which directly contributes to regulatory compliance.
Must haves:
• 3+ years of experience writing enterprise-level Java/Python code
• Experience working with large datasets (20,000-30,000 records).
Plusses:
• Experience developing and executing SQL queries for data analysis.
• Knowledge of Sybase IQ (SAP IQ) for data joining.
• Familiarity with microservices architecture.
• Proficiency in shell scripting.
• Functional knowledge of Unix commands and directory navigation.
• Comfortable with working on multiple languages
• Experience with build tools such as Maven, Gradle, or Ant.
• Experience with major relational/object databases (e.g Oracle Database or PostgreSQL)
Backend Engineer employer: Insight Global
Contact Detail:
Insight Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Backend Engineer
✨Tip Number 1
Make sure to showcase your experience with Java and Python in your discussions. Highlight specific projects where you wrote enterprise-level code, as this will demonstrate your technical expertise and relevance to the role.
✨Tip Number 2
Familiarize yourself with the concepts of liquidity monitoring and regulatory compliance. Being able to speak knowledgeably about these topics during your conversations will show that you understand the importance of the project and its impact.
✨Tip Number 3
Prepare to discuss your experience with large datasets. Be ready to share examples of how you've handled data analysis and any challenges you've faced while working with significant amounts of data.
✨Tip Number 4
If you have experience with SQL queries or Sybase IQ, make sure to mention it! Even if it's not a must-have, showing familiarity with these tools can set you apart from other candidates.
We think you need these skills to ace Backend Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 3+ years of experience with enterprise-level Java/Python code. Provide specific examples of projects where you utilized these languages, especially in relation to large datasets.
Showcase Data Handling Skills: If you have experience developing and executing SQL queries or working with Sybase IQ, be sure to mention it. Detail any relevant projects that demonstrate your ability to handle large datasets effectively.
Demonstrate Collaboration: Since this role involves collaboration with various teams, include examples of how you've successfully worked with engineers, analysts, or other stakeholders in past projects. Highlight your communication skills and teamwork.
Tailor Your Application: Customize your resume and cover letter to reflect the specific requirements mentioned in the job description. Use keywords from the listing, such as 'microservices architecture' and 'Unix commands', to align your application with what the company is looking for.
How to prepare for a job interview at Insight Global
✨Showcase Your Coding Skills
Be prepared to discuss your experience with Java and Python in detail. Bring examples of enterprise-level code you've written, and be ready to explain your thought process and the challenges you faced.
✨Demonstrate Data Handling Experience
Since the role involves working with large datasets, be ready to talk about your experience managing and analyzing data. Highlight any specific projects where you handled 20,000-30,000 records and the tools you used.
✨Familiarize Yourself with SQL and Databases
Brush up on your SQL skills and be prepared to discuss how you've used it for data analysis. If you have experience with Sybase IQ or other relational databases, make sure to mention that as well.
✨Understand Microservices and Build Tools
Since familiarity with microservices architecture is a plus, be ready to discuss any relevant experience. Additionally, review build tools like Maven, Gradle, or Ant, and be prepared to explain how you've used them in your projects.