Lead Data Engineer @
4 days ago
What you need to have to succeed in this role
- Demonstrable experience of Linux administration and scripting (preferably Red Hat Systems)
- Experience with Python, Spark, SQL, Databricks, Azure Function App, Azure DevOps and Terraform.
- Understanding of hardware and software principles and storage technologies (SSD, HDD, NVMe), CPU architectures, and Memory & Operating system principles (especially network stack fundamentals)
- Understanding of network protocols and network design
- Designing, building, and maintaining data pipelines and ETL workflows across disparate datasets
- Experience in applying data engineering methods to the cyber security domain
- Bachelor's degree in any Science, Technology, Engineering field accompanied with data, technology and/or programming experience also considered.
- Proficiency in programming languages such as Python, Java, C#, or similar preferred.
- Experience with server, operating system, and infrastructure technologies such as Nginx/Apache, CosmosDB, Linux, Bash, PowerShell, Prometheus, Grafana, Elasticsearch)
- Experience operating in highly regulated industry, e.g., Financial Services advantageous
Your career opportunity
The Lead Cybersecurity Data Engineer role will work closely with Principal engineers within the Platform & Data Engineering Team, contributing to and coordinating data engineering, data acquisition, cloud infrastructure and platform engineering, platform operations, and production support activities using ground-breaking cloud and big data technologies. For this role, cybersecurity-specific knowledge is preferred but not essential.
The position is a mid-senior technical, hands-on delivery role, requiring knowledge of data engineering, cloud infrastructure and platform engineering, platform operations and production support.
If your CV meets our criteria, you should expect the following steps in the recruitment process:
- Online behavioural
- Telephone screen
- Job interview with the hiring manager
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