Senior Python Engineer - Backend & Data - Brazil

About the role

We are looking for a Senior Python Engineer with deep data understanding to lead a critical data infrastructure project for our biggest client, a finance and trading platform. The project centers on using Python to consolidate stale, fragmented data from multiple sources into a reliable, well-structured database, enabling the client's trading team to make faster and more informed decisions. This is a data-heavy role, focused on aggregation, modelling, processing, and reliability. You will work closely with our internal team and directly with the client to extract domain knowledge, define the data model, and build a robust pipeline from the ground up. Our Mission, Vision, and Values At Space Inch, we prioritize alignment with our clients and team, ensuring a deep understanding of their needs. We are committed to delivering exceptional work while supporting the personal and professional growth of our team members. Our Stance on AI & Technology Transitions We don't just "accept" AI; we encourage its usage to enhance productivity and code quality. If you're a Senior Engineer, AI-proficient, with a proven track record of picking up new languages quickly, you might be a great fit to our team. We value senior-level architectural thinking and problem-solving over rigid adherence to a specific syntax. About working at Space Inch Our team is around 80 people, primarily based in Croatia, but also with members in South America, Serbia, and the US; the product team mostly being in the US, and engineering in Croatia and Brazil We are remote-first, but occasional travel may be required, e.g. for our annual company retreats We work on end-to-end projects with a long-term vision We prioritize work-life balance, even with a globally distributed team What You'll Be Working On Consolidate critical trading data from multiple disparate sources into a centralized, queryable database. Design and implement data pipelines and orchestration workflows to automate data ingestion and processing. Enable the client's team to track position changes across daily, weekly, and monthly intervals with accuracy and speed. Propose and implement a database strategy using a lower-level database as the primary aggregation layer, with reporting published to Snowflake. Ensure data auditability and observability, with clear traceability for how each data point is created. Identify and surface additional data opportunities as the project matures, helping the client understand the broader potential of their data. Must-Have Strong senior level proficiency in Python and SQL (PostgreSQL preferred) Strong senior level proficiency in MongoDB and Snowflake Previous high-level knowledge of processing Excel files/CSVs Proven experience in handling data: aggregation, modelling, pipeline development, and data reliability. Experience with data orchestration frameworks (e.g. Apache Airflow or similar). Comfortable working with data warehouses and large, complex datasets. Must be based in Brazil Client team is based in California, so appropriate working hours to accommodate a decent level of overlap are expected Nice-to-Have Experience with AWS Redshift. Familiarity with data observability and auditability tooling. Background working in a consultancy or client-facing delivery environment. Qualities for Success You are thorough and methodical, caring about data quality, traceability, and reliability. You can extract knowledge from domain experts and translate it into sound technical design. You see beyond the immediate brief and proactively identify ways to add value to a dataset. You are comfortable with evolving requirements and can adapt without losing focus on delivery. You communicate clearly with both technical and non-technical stakeholders. What's In It For You A technically interesting, well-scoped project with real impact on a client's trading operations. Direct collaboration with a senior internal stakeholder and an engaged, hands-on client team. The opportunity to shape the data foundation of a growing client relationship - with strong potential for the role to evolve. A team that values engineering quality, clean architecture, and thoughtful delivery. This Role Is Not For You If You don't have a background in finance data and are not prepared to work with complex, high-stakes financial datasets from day one. You prefer advisory or research-style work over ownership of concrete delivery outcomes. You are not willing to accommodate occasional overlap with US Pacific Time working hours. What's In It for You Real influence on technical decisions and project direction Professional development support Work-life balance, transparency, and long-term relationships that aren't just for show Compensation & Benefits Monthly salary: $4.000,00 - $6.000/month for B2B engagement Relax and recharge: 23 days of PTO/year Stay active: $50/month sports/wellness budget Health & Wellbeing: 15 days of 100% paid sick leave/year + annual health checkups up to $200 budget Grow with

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