Data Engineer

Data Engineer | Python, SQL & Data Pipelines

Role: 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 an 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.

What You’ll Be Doing

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.

Required Skills & Experience

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.

Nice to Have

Experience with Dagster or similar orchestration platforms.

Familiarity with CI/CD pipelines and tools such as GitHub 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.