As the Analytics Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of security data products. You will lead technical decisions and be responsible for a team of analytics engineers to ensure the delivery of high-quality data products needed for security teams operations, analytics, machine learning and Gen AI applications. The analytics engineering team plays a direct role in the success of the cyber data team and is a key driver in promoting a data centric culture within the security function.
Requirements:
Relevant experience as an Engineering or BI Manager, leading teams and managing data projects at scale
Solid experience with data warehousing principles, Datamodelling and data architecture
Solid experience with programming languages like Python and proficiency in SQL
Experience working with cloud platforms (eg, Azure, GCP) and big data technologies like Spark
Working knowledge of ETL and ELT frameworks and tools like dbt
Working knowledge of Version Control and CI/CD pipelines
Hiring, developing, and retaining cyber analytics talent
Ability to provide clear input, guide, empower the team to achieve desired outcomes
Developing working relationships with various teams and stakeholders at all levels of seniority to drive data driven decisions and enable end users to make
informed decisions through data
Knowledge of cybersecurity principles and practices
Strong written, verbal and presentation skills
Strong analytical skills, with the ability to correlate and identify trends, patterns, and outlier within large security datasets and telemetry
Experience with collaborative development methods such as mob or ensemble programming
