We are looking for a Software Engineer to join a high-performing engineering team building scalable, data-driven platforms that support complex, real-world decision-making.

This role focuses on designing and delivering distributed systems capable of processing large, diverse datasets, working at the intersection of data engineering and software development.

What you will be doing:

• Designing and building robust, scalable services using Go and/or Python
• Developing high-performance, data-intensive RESTful APIs
• Working with stream processing technologies (e.g. Kafka) to handle large-scale data flows
• Leading technical initiatives and contributing to architectural decisions
• Mentoring engineers and promoting best practices in software development
• Building and deploying cloud-native applications using Docker and Kubernetes
• Collaborating across teams to solve complex technical challenges with real impact

What we are looking for:

• Strong experience delivering production-grade software and owning end-to-end solutions
• Solid understanding of algorithms, data structures, and system design
• Experience working with large-scale data systems and data modelling (SQL or NoSQL)
• Hands-on expertise with at least one major cloud platform (AWS, Azure or GCP)
• Experience with test-driven development and automated testing practices
• Strong communication skills and ability to work effectively with diverse stakeholders

Nice to have:

• Exposure to gRPC / Protocol Buffers
• Experience with data processing frameworks (e.g. Beam or similar)
• Background working with scientific or highly complex datasets

This is an opportunity to work on technically challenging problems at scale, within a collaborative and forward-thinking engineering environment.

If you’re open to exploring your next move, apply or get in touch for a confidential discussion.