PayFit digitizes and simplifies payroll management and HR processes for companies. Fast, intuitive and automated, the software-as-a-service solution allows employers to easily manage payroll on its own without any specific knowledge in payroll and save valuable time and money. Employees have access to a dedicated online space for payslips, leave requests, expense report entry and HR data.
Our mission is to support the digital transformation of business’s human resources through a reliable SaaS solution providing a unique experience to its users. We're starting our expansion beyond France into Spain, Germany, UK and Netherlands. This is a unique opportunity to build the simplest product possible with a massive reach across employees of thousands of European companies.
So far, 2000 companies trusted PayFit such as Big Mamma, Heetch, Gameloft, and Sellsy. To accelerate our development, we raised €14 millions in 2017. Our offices are located in downtown Paris and we are now a team of 150 passionate PayFiters !
Descriptif du poste
As PayFit's first data engineer, you'll be in charge of building the whole company's data infrastructure. You will work directly with a data analyst and closely with product and business teams.
You will :
Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions across PayFit
Build data pipelines that track our marketing funnel from visits to onboarding to active usage of PayFit
Work closely with all teams (Marketing, Sales, Customer, Product, Tech, ...) in order to identify needs and build our data infrastructure strategy and roadmap
Build a robust and scalable infrastructure (ETL, data pipelines, datawarehouse, data viz, ...) able to sustain teams needs and growth, and data volume's fast increase
Consolidate and clean data from all sources across PayFit, in order to make it ready and easy to use
Design, develop, and own data pipelines and models that power internal analytics for product and business teams
- Grow the data team 🚀
3+ Years of experience in a Data Engineering or Data Science role, with a focus on building data pipelines or conducting data intensive analysis.
Have an inquisitive nature in diving into data inconsistencies to pinpoint issues
Knowledge of a scientific computing language (such as R or Python) and SQL
The ability to communicate cross-functionally, derive requirements and architect shared datasets
- Willing to gets its hands to dirty to build things (almost) from scratch and recruit people in the data team.