Company| Cybersecurity, Threat Intelligence, B2B SaaS
Size| 50 people (10 in London and growing)
Role| Data Engineer
Level| Lead / Staff+
Areas| Data Engineering, Data Platforms, Data Architecture
✨Skills| Python, SQL, Dagster / Databricks / Snowflake, AWS, Kafka, Airflow
Based| London (Zone 1)
Hybrid| 2-3 days a week in-office
Offer| up to £150k base + equity
Hi
Workonomics are partnering with a startup who aresolving one of the most pervasive problems in cybersecurity today.
Founded in 2023, they're building aB2B SaaSplatform to help security teams ensure their deployed solutions are actually protecting their organisations against real threats.
They launched their flagship platform just 6 months after the company was founded, andcrossed the $1 million ARR milestone while still in stealth mode.
They recentlyraised £20m Series Aand are now growing their team in London.
They're seeking aStaff+ Data Engineertolead the build of a brand new Data Platform. The vision is to enable the company to become more data-driven and build not only for today’s needs, but for future needs too.
You’ll enjoy and succeed in this role if you are a seasoned Data Engineer who:
- is proficient withPythonandSQL
- has deep experience in data platforms, e.g.Dagster,Databricks,Snowflake
- has led significant cross-team / org-wide data engineering / architecture initiatives
- loves working in startups - bringing ideas into production while clearing uncertainties
- is an independent learner, passionate about translating business needs into data models
Bonus points for experience with:
- various databases, e.g.NoSQL,Graph
- data streaming, e.gKafka,Airflow
- theAWSecosystem
- SlackGIFs, emojis, and memes
If this sounds like you, please hit apply for more specifics about the company and role.
