Senior Data Engineer
London
PayFit
HMRC-recognised, PayFit combines best-in-class payroll software with expert support. Automate your payroll & HR admin and save time.PayFit simplifies payroll management and HR processes for SMBs. PayFit is an automated SaaS solution to help business owners and HR professionals save time and money allowing them to refocus on what really matters: their employees.
Since 2015, we have set ourselves a mission to support the digital transformation of HR management through our ever growing range of product features and services. We have a strong presence in France and have been quickly growing in Germany, Spain, the UK and Italy. With 7,000 customers in 4 countries, we are one of the fastest-growing SaaS companies in Europe.
Today, we are more than 1 000 employees at PayFit and we all share four core values:- Care for each other- Always stay humble- Strive for excellence- Live and work with passion
We are committed to a culture of inclusion and an environment that enables fulfillment in freedom & responsibility.You want to join us? This video is better than a long description…
Your missions ⭐
Get onboard of the PayFit rocket by joining our Data Engineer Team as a Senior Data Engineer :
You will : - build and maintain efficient and scalable data pipelines to feed our lakehouse and enable data-driven features and decisions across PayFit- build and maintain a robust and scalable infrastructure (orchestration, storage, data viz, ...) able to sustain teams needs and growth, and data volume's fast increase- build and maintain CI/CD workflows to help the team deliver while ensuring data quality, reliability and availability in the production- work with your peers in the data team to evangelize data best practices, identify needs and contribute to our data strategy and roadmap
This job has been tailored for you if
- you have 3+ years of experience as Data Engineer, with a focus on building data pipelines- you have 1+ years of experience in Python development, including testing, deployment and codebase refactoring- at least one experience with Airflow, eg. DAGs creation and refactoring- at least one experience with AWS, eg. service deployment on AWS ecosystem, usage of console and CLI- at least one experience with a lakehouse backend, eg. Redshift, Snowflake, BigQuery, etc- at least one "production" experience, ie. you deployed and maintained jobs, dags, apps, etc- you master SQL, git/Github and common delivery processes
We are meant to work together if
- you already worked with one of those technologies: Singer, dbt, datadog, terraform, looker, CircleCI- you are a real team player who want to build a big success story with us- you speak English fluently and you want to work in an international and dynamic environment- you have a strong interpersonal and communication skills- you want to learn, improve and gain responsibility- you have a strong sense of humor :)
What we offer ❤️
- An amazing working environment, designed for kindness and blossoming.- Work From Anywhere policy.- An international and dynamic team with the opportunity to visit our different offices (Paris, Berlin or London).- Regular team and global events.- An attractive remuneration package.- Flexible work environment.- Private health insurance.- Restaurant tickets.- Gym subscription with the preferential rate.- English, French or Spanish classes.- 25 days of holidays.- Parental leave support program.- Great coffee, fruits, and snacks.- MacBooks are our standard, but we'll provide whatever equipment you need to help you get your job done!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS BigQuery CI/CD Data pipelines Data quality Data strategy Git GitHub Looker Pipelines Python Redshift Snowflake SQL Terraform Testing
Perks/benefits: Competitive pay Flex hours Health care Parental leave Team events
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