At a Glance
- Tasks: Design and develop scalable backend applications and data-driven platforms.
- Company: Join a leading financial markets organisation focused on tech innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and diverse tech stack.
- Why this job: Make an impact on critical systems while tackling complex engineering challenges.
- Qualifications: 5+ years in software engineering with strong backend development skills.
The predicted salary is between 63000 - 77000 £ per year.
Join a well-established financial markets organisation investing in the development and modernisation of its core technology platforms.
The engineering team builds and supports business-critical applications and data services, with a strong emphasis on reliability, scalability, automation and engineering quality.
Role
As a Senior Engineer, you will work across software engineering, data and platform technologies, helping design, build and improve systems that operate at scale.
- Design and develop backend applications, services and data-driven platforms.
- Build and enhance distributed systems handling high volumes of data.
- Assess technical approaches and contribute to architecture and design decisions.
- Translate business and technical requirements into robust engineering solutions.
- Produce clear technical designs and documentation.
- Develop automated testing across different stages of the software lifecycle.
- Contribute to CI/CD, release automation and improvements to engineering practices.
- Work closely with engineering, product, architecture and operational teams.
- Investigate and resolve complex issues affecting production systems.
- Support and mentor other engineers within the team.
- Help improve the performance, resilience and maintainability of existing platforms.
- Key Skills
- 5+ years of commercial software engineering experience.
- Strong backend development experience in a Java + Spring environment
- Experience working with Python and/or the Microsoft technology ecosystem.
- Strong understanding of distributed systems and scalable application design.
- Strong experience with Apache Spark or Py Spark
- Experience designing modular applications, services or microservice-based architectures.
- Strong knowledge of software engineering principles, design patterns and clean code practices.
- Experience with automated testing across unit, integration and end-to-end environments.
- Good understanding of CI/CD, automated deployment and modern software delivery practices.
- Experience with event-driven architectures, messaging or streaming technologies such as Kafka.
- Exposure to high-volume data processing or distributed data platforms.
- Strong SQL and relational database experience.
- Experience supporting highly available, business-critical production systems.
- Comfortable investigating performance, reliability and production issues.
- Able to work independently while collaborating across technical and non-technical teams.
- Experience mentoring or providing technical guidance to other engineers.
- A degree in computer science, engineering or a related discipline is advantageous.
- Hybrid working environment.
- Opportunity to work on complex, business-critical engineering and data platforms.
- Broad technical environment spanning software, data and distributed systems.
- Opportunity to work on complex platform, data-streaming and distributed-system challenges.
Senior Data Engineer - Financial Services - Hybrid - TWE47325 in London employer: twentyAI
At twentyAI, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge data solutions that make a real impact in the financial services sector. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.
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We think this is how you could land Senior Data Engineer - Financial Services - Hybrid - TWE47325 in London
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We think you need these skills to ace Senior Data Engineer - Financial Services - Hybrid - TWE47325 in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at twentyAI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at twentyAI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
