Causal
London
11-50 employees
A new way to perform calculations, visualise data, and communicate with numbers. Trusted by finance teams and beyond.
Prior Listings
Backend Engineer — Data
Backend Engineer — Data
This job is no longer open
We're looking for an engineer to build out our data infrastructure. Robust data infrastructure is crucial for our product — working with live data is one of the biggest pain points of spreadsheets, and one of the biggest value propositions of Causal.
We need to be able to connect to any customer data, wherever it lives — accounting software (e.g. QuickBooks, NetSuite), CRM (e.g. Salesforce, Hubspot), payments provider (e.g. Stripe), and custom databases/data warehouses.
— Lukas (CTO)
You will
- Build a unified system to manage all data pipelines (including health checks and alerting)
- Build robust data integrations and pipelines for our self-serve product
- Work with clients and our customer success team to gather requirements and implement pipelines to pull data from various data sources
You'll ideally
- Have 4+ years software engineering experience, including DevOps and data pipelines
- Have experience with the modern data stack (dbt, Meltano, ...) and ideally also have some experience with our backend stack (Node/Typescript/Go/Python)
- Be able to write clean + maintainable code with attention to performance and security, but also be able to ship quickly + scrappily when the occasion calls for it
- Be comfortable shipping features end-to-end, from defining the product spec to deploying to production
You'll Get
- Competitive salary and equity package
- Unlimited PTO
- Equipment stipend to support your home office needs
- Generous monthly remote wellness stipend, which can be used flexibly for daily lunch, gym membership, co-working, etc.
- Generous annual learning and development stipend
- Company retreats twice a year
- Remote-first (United States, Canada, United Kingdom) with physical spaces in London and NYC
About Causal
We're building a new way to think and work with numbers. Causal is a tool for performing calculations, visualising data, and communicating with numbers. We take the good parts of spreadsheets and combine them with the good parts of programming, to make number-crunching fast, collaborative, and accessible to everyone. We are well-funded by some great VCs (Accel, Coatue, Passion Capital) and angel investors (Naval Ravikant, Scott Belsky, and many more) across the US and Europe.
We are a globally distributed team working remotely with members of our team on both sides of the Atlantic. We do have a presence in London and NYC.
#LI-Remote
This job is no longer open