Toucanberry Tech

Company Name: Toucanberry Tech
Job Title: Senior Analytics Engineer
Job Description: Senior Analytics Engineer Role Summary: Deliver data-driven solutions for reinsurance and financial services clients by leveraging advanced analytics tools and domain expertise. Focus on transforming complex datasets into actionable insights, optimizing data workflows, and supporting strategic decision-making through technical and financial acumen. Expectations: Minimum 10 years’ experience in asset management operations with financial securities/trading data expertise. Proven track record in reinsurance/life insurance domains or investment projects. Proficiency in Python, SQL, DBT, and large-scale data automation. Ability to lead data warehouse initiatives and collaborate in agile, high-pressure environments. Key Responsibilities: - Conduct advanced data manipulation and analysis to inform business decisions. - Develop automated workflows using Python libraries (Pandas, NumPy) for scalable data processing. - Design and implement data mapping workflows using SQL and DBT to generate clean, documented models. - Translate client requirements into technical solutions for complex analytical projects. - Lead cross-functional teams in solving high-priority data challenges. Required Skills: - Python: Advanced proficiency in Pandas, NumPy, and data automation. - SQL: Expertise in querying and transforming large datasets. - DBT: Experience structuring data models in warehouse environments. - Financial Domain: Deep understanding of asset management, financial securities, and reinsurance operations. - Leadership: Demonstrated decision-making and team leadership in data projects. - Communication: Strong stakeholder engagement and presentation skills. Required Education & Certifications: Not specified.

England, United kingdom

Remote

Senior

27-01-2026

Company Name: Toucanberry Tech
Job Title: Back End Engineer - Python / Azure
Job Description: Job title: Back End Engineer – Python / Azure Role Summary: Design, build, and maintain scalable backend systems and data infrastructure that transform manual financial and actuarial processes into automated, auditable workflows for financial services clients. Expectations: Deliver robust, production‑grade solutions from concept to deployment, leveraging modern Python paradigms, event‑driven architectures, and cloud technologies (Azure preferred). Key Responsibilities: - Architect and implement distributed, large‑scale backend systems from requirements through production. - Build and maintain event‑driven data pipelines and dashboards. - Develop production‑ready Python applications with strong testing and CI/CD practices. - Containerise services using Docker and deploy to Azure or similar cloud platforms. - Translate business requirements into detailed technical designs and architecture diagrams. - Collaborate with cross‑functional teams to ensure solutions meet performance, reliability, and compliance standards. Required Skills: - Extensive production experience with Python, modern frameworks, testing, and deployment. - Proven ability to design and build distributed systems at scale. - Strong software architecture skills; translate requirements into technical designs. - Familiarity with event‑driven architectures (Pub/Sub, message queues). - Experience with Docker containerization and cloud platforms (Azure preferred). - End‑to‑end delivery track record: from concept through to production. Bonus Skills: - Proficiency in GoLang for high‑performance services. - Experience in financial services or building data platforms. Required Education & Certifications: - Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field. - Optional certifications: Azure Solutions Architect, Azure Developer, or distributed systems.

United kingdom

Remote

11-02-2026

Company Name: Toucanberry Tech
Job Title: Senior Analytics Engineer (Python, SQL, Asset Management)
Job Description: Job title: Senior Analytics Engineer (Python, SQL, Asset Management) Role Summary: Lead data analytics for financial services, focusing on asset‑management and reinsurance data. Deliver insights beyond Excel, automate analytics, and design clean data models. Expectations: Deliver high‑impact insights to senior business experts; self‑direct projects; lead and build data‑warehouse solutions; communicate complex findings to senior stakeholders. Key Responsibilities - Perform complex manipulation and analysis of large financial datasets. - Develop Python scripts using Pandas, NumPy and related libraries to automate data tasks. - Design and execute robust data mapping, transformation and validation pipelines. - Collaborate with cross‑functional teams to translate client requirements into actionable data solutions. - Guide and mentor a small analytics team on best practices and architecture decisions. - Operate effectively in an fast‑paced, agile, high‑pressure environment. Required Skills - 10+ years of operations experience in an asset‑management environment understanding securities, trading, and asset‑data. - Strong background in investment‑related or reinsurance/life‑insurance projects. - Advanced SQL: data querying, manipulation and performance tuning. - DBT: build, test and document clean data models in a warehouse. - Python: expertise with Pandas, NumPy and related analytical libraries. - Leadership: decisive on data‑warehouse strategy, self‑starter, team leadership. - Excellent communication: articulate presentations, stakeholder engagement. Required Education & Certifications - Bachelor’s degree (or equivalent) in Computer Science, Finance, Economics, or related field. - No mandatory certifications, but experience with Azure, GCP, or Databricks is a plus.

London, United kingdom

Remote

Senior

09-03-2026

About the Company

Listed Jobs