[Porto] Senior Python Data Engineer

⚠️ 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.

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

• [email protected]

• +351 21 020 9908 (WhatsApp)

⚠️ Hybrid, 4 days/week on-site