Company | Cybersecurity, Threat Intelligence, B2B SaaS
Size | 60 people total (10 in London and growing)
Role | Data Engineer
Level | Senior
Areas | Data Engineering, Data Platforms, Data Architecture
Skills | Python, SQL, Dagster / Databricks / Snowflake, AWS
Based | London (Zone 1)
Hybrid | 2-3 days a week in-office
Offer | up to 120k base + equity
Hi
Workonomics are partnering with a startup who are solving one of the most pervasive problems in cybersecurity today.
Founded in 2023, they're building a B2B SaaS platform 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, and crossed the $1 million ARR milestone while still in stealth mode.
They recently raised 20m Series A and are now growing their team in London.
They're seeking a Senior Data Engineer to contribute to 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 Senior Data Engineer who:
- is proficient with Python and SQL
- has solid experience in data platforms, e.g. Dagster, Databricks, Snowflake
- has been involved in large 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.g Kafka, Airflow
- the AWS ecosystem
- Slack GIFs, emojis, and memes
If this sounds like you, please hit apply for more specifics about the company and role.
