Senior Data Engineer - Financial Services - Hybrid - TWE47325

twentyAI; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working environment

Job summary

twentyAI is seeking a Senior Engineer to work across software, data and platform technologies, designing, building and improving scalable systems for financial markets.

You will design and develop backend applications, services and data-driven platforms, while driving reliability and automation across lifecycle stages. The role involves mentoring other engineers and collaborating with cross-functional teams in a hybrid working environment.

Qualifications

• 5+ years of commercial software engineering experience.
• Strong backend development experience in a Java + Spring environment.
• Experience with Python and/or the Microsoft technology ecosystem.
• Strong understanding of distributed systems and scalable application design.
• Strong experience with Apache Spark or PySpark.
• 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.

Responsibilities

• 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.

Skills

Java + Spring

Python

Distributed systems

Apache Spark

Microservices

CI/CD

SQL/Relational databases

Mentoring

Hybrid working

Kafka

Education

Degree in Computer Science or related

Tools

Kafka

CI/CD tooling

Job description

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 PySpark
• 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.