Senior Data Engineer

Company:
Computer Vision Startup

Location:

London, Hybrid

Salary: up to 95,000 + Benefits

We’re looking for a talented Data Engineer to join a fast-growing, award-winning technology company transforming the industry through advanced data platforms and digital innovation.

This is an exciting opportunity to work within a multidisciplinary engineering environment spanning cloud platforms, AI & computer vision, embedded systems, data science, and large-scale data processing. You’ll play a key role in building scalable data infrastructure and developing robust pipelines that power next-generation products.

• Design, develop, and maintain scalable data pipelines using Python and orchestration tools such as Dagster.
• Create and optimise efficient data models to support both transactional and analytical workloads.
• Develop high-performance SQL queries, procedures, and integrations for APIs and data services.
• Debug, enhance, and maintain existing systems and codebases.
• Build and execute unit and integration tests to ensure reliability and maintainability.
• Conduct profiling and performance optimisation to improve scalability and responsiveness.
• Produce clear technical documentation for pipelines, databases, and architecture.
• Collaborate with cross-functional engineering teams across backend, cloud, and product development.
• Contribute to architectural decisions and continuously evaluate new technologies and best practices.

• Degree in Computer Science, Engineering, or equivalent practical experience.
• Strong experience with relational databases and SQL (PostgreSQL preferred).
• Excellent Python programming and object-oriented development skills.
• Experience designing data models for both operational and analytical systems.
• Strong debugging, troubleshooting, and performance tuning capabilities.
• Experience using Git and participating in collaborative code reviews.
• Strong communication and teamwork skills.
• Passion for building scalable in-house technology solutions using both custom and off-the-shelf tools.

• Experience with Dagster or similar orchestration platforms.
• Familiarity with CI/CD pipelines and tools such as Git Hub Actions.
• Knowledge of REST and/or GraphQL APIs.
• Experience working in Linux environments.
• Familiarity with Docker and Kubernetes.
• Understanding of Test-Driven Development (TDD), PyTest, and software design patterns.