Senior Data Engineer

Tiro Partners Limited; Greater London; Hybrid; GBP 57,000 - 95,000; Full time

Job summary

Computer Vision Startup in London is seeking a Data Engineer to design scalable data pipelines and data models across cloud platforms, AI, and analytics.

You will collaborate with backend, cloud, and product teams to deliver robust data infrastructure, optimize performance, and write clear documentation. This hybrid role offers up to £95k plus benefits.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL (PostgreSQL)

Relational databases

Data modeling

Data pipelines

Debugging

Git

Communication

Education

Bachelor's degree in Computer Science or equivalent

Tools

Dagster

GitHub Actions

Docker

Kubernetes

REST APIs

GraphQL

Job description

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.