Senior Systems Developer

GBR Group Ltd; City Of London; On-site; GBP 42,000 - 46,000; Full time

Job summary

A leading technology company in the UK is seeking a skilled Senior Systems Developer to drive data architecture and system design. Responsibilities include developing scalable backend systems, guiding architectural decisions, and collaborating with cross-functional teams. The ideal candidate will have 8+ years of experience with a strong programming background in Python and AI skills. The competitive salary ranges from £42,500 to £45,500, and the position is permanent.

Qualifications

• 8+ years of experience in systems development, including 2 years in data architecture.
• Experience in delivering enterprise-grade systems and strong programming skills.
• Knowledge of containerisation and cloud-native development practices.

Responsibilities

• Design and develop sophisticated backend systems and APIs.
• Lead architectural decisions to ensure systems are scalable and secure.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Skills

Python

AI skills

Analytical abilities

Excellent communication

Cloud platforms (AWS, Azure, GCP)

Data governance

Problem-solving capabilities

Education

Bachelor's or Master's degree in Computer Science

Tools

Docker

Kubernetes

SQL databases

NoSQL databases

Job description

Job Title: Senior Systems Developer

DETAILS

We are seeking a highly skilled Senior Systems Developer with extensive experience in data architecture, system design, and enterprise-level application development. The successful candidate will be responsible for constructing scalable systems, designing robust data models, and guiding the technical direction of backend and data-driven solutions across the organisation.

DUTIES & RESPONSIBILITIES

• Design, develop, and maintain sophisticated backend systems, APIs, and services.
• Lead architectural decisions to ensure systems are scalable, secure, and high-performing.
• Implement best practices for software engineering, and cloud-native development.
• Collaborate with cross-functional teams (Data Engineering, DevOps, Product, QA) to conceptualise and deliver high-quality solutions.
• Define and implement enterprise data models, data flows, and database schemas.
• Architect and maintain data pipelines, data lakes, and data warehouses.
• Optimise data storage, retrieval, partitioning, and indexing strategies for performance and scalability.
• Ensure data quality, governance, lineage, and compliance with security standards.
• Develop integrations between internal and external systems utilising APIs, ETL tools, and messaging systems.
• Automate workflows, monitoring, and deployment processes.
• Drive platform modernisation initiatives and migrations to cloud.
• Participate in code reviews, architecture meetings, and technical strategy discussions.
• Provide expert guidance on system performance, scalability, and troubleshooting.

SKILLS, EXPERIENCE & QUALIFICATIONS

• Bachelor s or Master s degree in Computer Science, Information Technology, or related discipline.
• Minimum 8 years of experience in systems development, with at least 2 years dedicated to data architecture.
• Demonstrated success in delivering enterprise-grade systems and data platforms.
• Strong programming expertise in Python and AI skills.
• Profound understanding of system architecture, design patterns, and microservices.
• Hands‑on experience with cloud platforms such as AWS, Azure, or GCP.
• Expertise in SQL and NoSQL database technologies.
• Knowledge of ETL/ELT frameworks, data modelling and data governance.
• Familiarity with containerisation and orchestration tools such as Docker and Kubernetes.
• Awareness of security frameworks, including authentication and authorisation protocols.
• Analytical and problem‑solving capabilities.
• Excellent communication and documentation skills.
• Ability to work independently and lead cross‑functional teams.
• Adaptability to rapidly evolving technological environments

PREFERRED SKILLS

• Airflow, dbt, Spark, Kafka, RabbitMQ, Redis.
• Git, CI/CD pipelines.
• Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse.
• Exposure to AI/ML workflows and model deployment.
• Experience with streaming systems and real‑time architecture.
• Knowledge of event‑driven and serverless architectural patterns.

The Salary will be £ 42,500 - £ 45,500 DOE

Type: Permanent