💫 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 £135k 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 over £20m Series A and are now growing their team in London.
They're seeking a Staff Data Engineer to lead the build of a brand new Data Platform.
You’ll enjoy and succeed in this role if you are a seasoned Data Engineer who:
- is strongly proficient with Python and SQL
- has deep experience in data platforms, e.g. Dagster, Databricks, Snowflake
- has led significant cross-team / org-wide data engineering / architecture initiatives before
- 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.