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- Tasks: Design microservices and build scalable data pipelines in cloud environments.
- Company: Join a dynamic team revolutionizing financial markets with innovative trade surveillance technology.
- Benefits: Work with cutting-edge tech and enjoy a collaborative environment.
- Why this job: Tackle exciting challenges in data engineering while making a real impact in finance.
- Qualifications: Experience with Python, Java, and strong SQL skills required.
- Other info: Perfect for those passionate about data and software engineering!
The predicted salary is between 43200 - 72000 £ per year.
Senior Software Engineer (Data Engineering) Join a dynamic team shaping the future of financial markets with cutting-edge trade surveillance technology. I am seeking a Senior Software Engineer with data engineering experience to build scalable, robust data pipelines in cloud environments and tackle challenges like data velocity, schema management, and high availability. Responsibilities: Design and maintain microservices (Java on K8s). Build and optimize end-to-end ETL workflows for diverse data sources. Enhance financial data with third-party integrations. Improve data storage, query performance, and governance. Collaborate on data integrations and insights creation. Requirements: Experience with Python & Java. Strong software engineering and SQL query optimization skills. Interested? Apply now!
Senior Software Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer
✨Tip Number 1
Make sure to showcase your experience with data engineering and cloud environments during the interview. Be prepared to discuss specific projects where you built scalable data pipelines and how you tackled challenges like data velocity and schema management.
✨Tip Number 2
Familiarize yourself with the latest trends in trade surveillance technology. Being knowledgeable about the industry will not only impress us but also help you understand the context of the role better.
✨Tip Number 3
Brush up on your microservices architecture skills, especially in Java and Kubernetes. We value candidates who can demonstrate a solid understanding of designing and maintaining microservices.
✨Tip Number 4
Prepare to discuss your SQL query optimization techniques. We are looking for someone who can improve data storage and query performance, so having concrete examples ready will set you apart from other candidates.
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Software Engineer position. Understand the key responsibilities and required skills, especially focusing on data engineering, microservices, and ETL workflows.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with Python, Java, and SQL query optimization. Provide specific examples of projects where you built scalable data pipelines or worked with cloud environments.
Showcase Problem-Solving Skills: Demonstrate your ability to tackle challenges related to data velocity, schema management, and high availability. Include examples of how you've successfully addressed similar issues in past roles.
Tailor Your Application: Customize your application materials to reflect the language and requirements mentioned in the job description. Use keywords from the posting to ensure your application resonates with the hiring team.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and Java in detail. Highlight specific projects where you've built scalable data pipelines or optimized ETL workflows, as this will demonstrate your technical expertise relevant to the role.
✨Discuss Microservices Architecture
Since the role involves designing and maintaining microservices on Kubernetes, be ready to explain your understanding of microservices architecture. Share examples of how you've implemented microservices in previous projects and the challenges you faced.
✨Emphasize Problem-Solving Abilities
The job requires tackling challenges like data velocity and schema management. Prepare to discuss specific instances where you've successfully solved similar problems, showcasing your analytical thinking and problem-solving skills.
✨Collaborate and Communicate
Collaboration is key in this role. Be ready to talk about your experience working in teams, especially in data integrations and insights creation. Highlight how you communicate complex technical concepts to non-technical stakeholders.
