FXC Intelligence's Data Ingest team is looking for a Senior Python Engineer to help maintain 200+ scrapers and build the data platform that collects financial data on cross-border payments, fully remote from Europe.
Responsibilities
- ▹Implement new scrapers and maintain existing ones
- ▹Improve the scraping platform in data quality, performance, and observability
- ▹Carry out research and technical investigations
- ▹Take ownership of architectural or conceptual platform components, e.g. reliability, QA processes, AI scrapers
- ▹Gain understanding of the codebase to reduce complexity and remove technical debt
- ▹Perform code reviews and participate in intra- and cross-team technical initiatives
Requirements
- ▹Engineer robust solutions using advanced Python and SQL for complex data and backend challenges
- ▹Experience working with data processing and distributed high-load systems
- ▹Experience with event-driven architecture and message queues (RabbitMQ/Kafka)
- ▹Perform basic exploratory data analysis and make technical decisions based on observed data
- ▹Take proactive ownership of projects, setting a high bar for technical excellence
- ▹Thrive in fast-paced environments, pivoting quickly to meet changing priorities
- ▹Articulate complex ideas clearly to technical and non-technical stakeholders
- ▹Deep-dive into the business domain to align technical output with product goals
Nice to have
- ▹Prior experience at a data product company or with Big Data
- ▹Experience collaborating with a BI, DA, and/or ML team
- ▹Build and maintain scalable web scraping architectures and backend systems
Soft skills
Proactive drive to learn new technologies and methodologiesPositive attitude toward every challenge
What we offer
- ▹$5,000 to $6,500 per month, based on experience
- ▹Typical hours Monday-Friday working UTC/UTC+1, with potential on-call support
About the company
The Data Ingest team has run for seven years at FXC Intelligence, maintaining over 200 scrapers and collecting the financial data that powers insights for the world's biggest companies, central banks, and organisations.
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