Summary: Seeking a Senior Python Data Engineer to translate financial engineering logic into production-grade data pipelines for index computation. Highlights: 1. Opportunity to take end-to-end ownership in a small, autonomous team. 2. Collaborate directly with financial engineering business teams. 3. Develop scalable data processing flows for financial indices. ### **Job description** Daily rate: 260 * **Hybrid, 4 days/week on\-site** Our Index team is a business unit of roughly 25 people responsible for creating and licensing financial indices to banks and asset managers. Over the past six years, the team has built its own Python\-based data infrastructure on the Dataiku platform, now used across both index creation and index calculation operations. This role is part of a strategic initiative to grow a Porto\-based developer team. The immediate need is for a senior Python data engineer to join us and collaborate closely with the France\-based senior developers and financial engineering business team. The work consists of translating business logic and notebook\-level code into production\-grade, scalable, and well\-monitored data pipelines for index computation across Equity and Fixed Income asset classes. The role requires a high degree of autonomy: the Porto team is small and developers are expected to take ownership of their work end\-to\-end, with an entrepreneurial mindset. ### **Requirements** **Goals and deliverables** * Take financial engineering logic (often written in notebooks by the business team) and translate it into clean, robust, production\-ready Python code. * Design and implement scalable data processing flows covering data ingestion, aggregation, transformation, validation, and monitoring. * Build and maintain data pipelines for the computation of financial indices across Equity and Fixed Income asset classes. * Implement quality checks, notifications, and monitoring layers to ensure production reliability. * Conduct peer code reviews and uphold engineering standards across the team. * Coordinate directly with the financial engineering business team to understand index methodologies and requirements. * Produce comprehensive technical documentation for all delivered solutions. * Work autonomously on projects, taking end\-to\-end ownership from requirement gathering through to production deployment. **Experience Required** * Minimum 5 years of hands\-on Python experience, with a strong focus on data engineering and data processing (not application or backend web development). * Demonstrated track record of building production\-grade data pipelines: ingestion, transformation, validation, monitoring, and alerting. * Ability to work autonomously in small, senior teams with minimal process overhead. * Basic to solid understanding of financial concepts (equities, fixed income, index methodologies, pricing, free float): the business team is composed of financial engineers and the developer must be able to collaborate with them at a meaningful level. * Experience with SQL for data querying and validation. **Nice to have** * Hands\-on production experience with the Dataiku platform (DSS). * Background in financial indices, quantitative finance, or capital markets data is a strong plus. * Mathematical or quantitative academic background is a plus for onboarding onto index methodologies quickly. **Contact: Costa Neto** * costa.neto@littlebigconnection.com * \+351 21 020 9908 (WhatsApp) * **Hybrid, 4 days/week on\-site**