Senior Python Engineer

• Typical hours are Monday-Friday working UTC/UTC+1 with potential on-call support required
• We are looking for a Senior Python Engineer to join our Data Ingest team, responsible for scraping the data that fuels our products
• You’ll play a key role in shaping how we capture, process and scale the data pipelines that underpin our insights to some of the world’s biggest companies, central banks and non-governmental organisations
• What success looks like in this role:
• Carrying out research and technical investigations
• Implementing new scrapers and maintaining existing ones
• Improve the scraping platform in the areas of data quality, performance and observability
• Taking on ownership of architectural or conceptual components of the platform (e.g. owning reliability or QA processes or AI scrapers)
• Gain sufficient understanding of the codebase to be able to make contributions aimed at reducing overall complexity and removing technical debt
• Performing code reviews, participating in intra and cross-team technical initiatives and discussions
• You will join a technical team of c. 40 technologists with a key purpose of continuously and reliably collecting large amounts of financial data describing cross-border payments, then processing the data, checking the quality and serving it to our users so that they can make the best business decisions
• Tech Stack: Python, PostgreSQL, RabbitMQ, Redis, Puppeteer, Playwright, Selenium, Pandas, Numpy and SKlearn

Benefits

• Flexible working arrangements
• Receive a 20% annual bonus and share options
• A brand new Mac or PC it’s your choice!
• 5% Workplace pension scheme contribution
• Professional/Career coaching sessions with an external coach
• Perkbox subscription for exclusive deals and discounts
• AXA private healthcare for employee and spouse/partner and/or children- Deep-dive into the business domain to ensure your technical output aligns with product goals and user needs
• Take proactive ownership of projects, setting a high bar for technical excellence
• Engineer robust solutions using advanced Python and SQL to solve complex data and backend challenges
• Perform basic exploratory data analysis and make technical decisions on the basis of observed data rather than just assumptions
• Work with data processing and distributed high-load systems
• Thrive in fast-paced environments, pivoting quickly to meet changing priorities without losing momentum
• Articulate complex ideas clearly to both technical and non-technical stakeholders
• Approach every challenge with a positive attitude and a proactive drive to learn new technologies and methodologies
• Experience with event-driven architecture and message queues (RabbitMQ/Kafka)
• Experience with documentation of system architecture
• Experience collaborating with a BI, DA and/or ML team
• Build and maintain scalable web scraping architectures and backend systems that power core product features
• Prior experience working for a data product company or being involved with Big Data