Paylead’s core business is valuing bank transaction data — and putting that value in the consumer’s hands. The PayLead core product handles the whole process: from offer submission to customer payout, through data science-based engines, personal data protection systems, and APIs powering various banks’ consumer applications.

Working closely with data scientists and fellow engineers, you’ll build PayLead’s analytical platform, enabling a wide set of customers (banks, insurances, fintech, retailers, consumers) to better understand their activity. Analysing rich (and anonymised) data, the platform provides deep insights through first-class visualizations.

The team is composed of engineers with different backgrounds and experiences both in the industry and academia. We expect you to bring your curiosity, your eagerness to learn, and your passion for excellence and quality!

ROLE & RESPONSIBILITIES

• Craft reports and dashboards, from the raw data to the visualization dashboards;
• Work with Data and Product teams to define formulas, visuals and interactions;
• Ensure that your code is reliable, performs well, can be monitored easily, is ready to scale;
• Own your product area, from SQL to frontend: take part in product discussion, support users, document the system, plan technical improvements.
• Mentor fellow developers;
• Review your peers’ development, and improve the product core.

SKILLS & EXPERIENCE

• At least 1 year experience in software development, with code actually deployed and used in production;
• Great ability to communicate and share knowledge;
• Solid experience with at least one programming language, and familiarity with Python;
• Good knowledge of SQL, notions of front-end development;
• Academic degree covering Computer Science ;
• Proven rigor in high quality coding, automated testing, and other engineering best practices;
• Autonomy: making independent decisions and taking ownership for them;

NICE TO HAVE

• An interest in Machine Learning;
• Having taken part (organizer, presenter) in technical meetups or conferences;
• Database design skills;
• Openness towards infrastructure, data science or application performance;
• Strong curiosity with active watch on engineering topics;
• Activity in an open source community