Python Engineer. New Product Team.
HybridBelfast, Northern Ireland, United Kingdom
Job Summary
Implement, configure, and evolve OneTick solutions within client environments while building Python applications, data pipelines, and integrations. Work directly with international clients to translate complex problems into technical solutions, delivering robust, scalable, and production-ready systems. Integrate OneTick into wider client data platforms and workflows while troubleshooting complex technical and production issues. Collaborate with engineering, product, and client stakeholders on long-term engagements to develop deep technical and domain knowledge. Learn OneTick through structured training and hands-on delivery, sharing reusable approaches to build internal capability.
Required Qualifications
- 3–5 years of strong Python experience
- broad understanding of data and software delivery
- confidence to work with clients to solve complex technical problems
- The role is based in Belfast on a hybrid basis
- potential opportunities to travel to London and New York
- Implement, configure and evolve OneTick solutions within client environments
- Build Python applications, data pipelines and integrations
- Work directly with clients to understand requirements and translate complex problems into technical solutions
- Deliver robust, scalable and production-ready solutions
- Integrate OneTick into wider client data platforms and workflows
- Work on long-term international client engagements
- Collaborate with engineering, product and client stakeholders
- Troubleshoot complex technical and production issues
- Share knowledge and reusable approaches
- Develop your expertise through hands-on delivery, training and certification
- Around 3–5 years' commercial Python experience across data engineering, or data-driven software development
- Hands-on experience with technologies such as Kubernetes, Apache Airflow and Pandas
- Strong knowledge of data engineering, software engineering and production delivery
- Experience building and delivering data-driven applications or solutions
- A solid understanding of the software development lifecycle, Agile delivery and modern engineering practices
- The ability to work proactively and autonomously
- Experience supporting production systems and solving complex technical issues
- Excellent communication skills and the confidence to work with both technical and client stakeholders
Desired Qualifications
- Experience in capital markets, financial services or time-series data
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