Python Data Engineer

Stelfox is partnering with a client that develops a data-driven analytics platform for the finance industry. Their technology enables financial teams and institutional clients to analyse complex datasets, leverage automation, and build scalable data products. They are now seeking a Python Data Engineer to join their growing engineering team.

Reporting to the Engineering Lead, the successful candidate will play a key role in designing and maintaining high-quality data workflows, building robust Python-based solutions, and contributing to the evolution of the client’s analytics platform. This position requires a strong software engineering foundation, hands-on coding expertise, and the ability to confidently engage with clients.

• Develop and maintain scalable, production-grade Python code used across data pipelines, integrations, and internal tooling.
• Work with complex financial datasets, implementing efficient data engineering practices and reusable components.
• Apply strong coding standards using GitHub, version control, documentation, automated testing, and modular design within shared repositories.
• Build and integrate API-driven data solutions, ensuring reliable ingestion, transformation, and delivery of data.
• Collaborate with cross-functional teams including product, analytics, and client delivery to understand requirements and translate them into technical solutions.
• Engage directly with clients to understand needs, support implementations, and provide technical insight when integrating platform capabilities.
• Contribute to continuous improvement of the data environment, tooling, and engineering best practices.

• Bachelor’s or Master’s degree in Computer Science or a closely related discipline.
• 2+ years experience in Python, with proven experience building clean, maintainable, and scalable codebases.
• Solid understanding of GitHub workflows, collaborative coding practices, and repository management.
• Hands-on experience working with APIs (REST, GraphQL, or internal data services).
• Experience working in Linux/Unix/OS X environments.
• Strong problem-solving ability, excellent communication skills, and confidence engaging with clients.

• Exposure to cloud environments such as AWS.
• Experience with modern data tools, CI/CD pipelines, or infrastructure-as-code.
• Familiarity with data visualisation or analytics platforms. xcfaprz

If you are passionate about Tech and looking to thrive in a dynamic environment, we encourage you to apply.