Landytech

About the Company

For asset owners, managers, and advisors who manage complex multi-asset portfolios, Landytech's Sesame is the investment management platform that provides a golden source of truth on your investment data, and the tools you need to power performance.

With institutional-grade analytics, automated reporting, and the best data connections and security in Europe, Sesame allows your team to spend their time building value, not spreadsheets.

For more on how Sesame can be your investment management command centre, visit landytech.com.

Listed Jobs

Company Name

Landytech

Job Title

Python Engineer - B2B SaaS Fintech

Job Description

**Job Title** Python Engineer – B2B SaaS Fintech **Role Summary** Develop and maintain Python‑based services and APIs that process, publish, and deliver financial metrics for a B2B SaaS platform. Collaborate on scalable data pipelines, ensure code quality, and support fintech clients in obtaining actionable investment insights. **Expectations** - Deliver high‑quality, well‑documented code on schedule. - Apply solid software engineering fundamentals and best practices. - Foster a collaborative engineering culture through reviews and knowledge sharing. - Continuously improve system performance, reliability, and security. **Key Responsibilities** - Design, develop, and maintain robust REST/GraphQL APIs for financial data processing. - Build and optimize data ingestion, transformation, and publishing pipelines. - Write unit, integration, and performance tests; maintain test coverage. - Perform code reviews, refactor legacy modules, and enforce coding standards. - Debug, troubleshoot, and tune systems for scalability and latency. - Engage with product and stakeholder teams to gather requirements and validate solutions. - Document APIs, data schemas, and architectural decisions. **Required Skills** - Strong proficiency in Python 3.x, object‑oriented programming, and software design patterns. - Experience with relational database design (PostgreSQL/MySQL) and SQL. - Familiarity with modern data processing libraries (NumPy, Polars, DuckDB). - Knowledge of data structures, algorithms, and complexity analysis. - Interactive debugging, profiling, and performance optimization. - Unit testing frameworks (pytest, unittest) and CI/CD pipeline integration. - Good communication, teamwork, and ability to translate technical concepts for non‑technical stakeholders. - Optional: exposure to Rust or C++ for low‑level data handling; financial domain familiarity (metrics, instruments). **Required Education & Certifications** - Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field. - No specific certifications required, though knowledge of software architecture, cloud services (AWS/GCP/Azure), or fintech regulations is advantageous.

London, United kingdom

Hybrid

03-11-2025