As the Data Platform Engineering Manager in the cyber data team, you will play a crucial role in the development, management, and optimisation of the organisations self-served cyber data infrastructure. You will lead technical decisions and be responsible for a team of data platform engineers to provide a reliable and robust data platform, enabling seamless acquisition, storage, processing and analysis of security data for operational, analytics, machine learning and Gen AI purposes. The data platform lies at the heart of our security detection strategy, serving wider security teams.
Requirements
Relevant experience as an Engineering Manager, leading teams and managing data projects at scale
Solid programming experience with programming languages like Python or Java along with proficiency in SQL
Experience working with cloud platforms (eg, Azure, GCP) and big data technologies like Spark, Flink, Hadoop etc.
Solid grasp of Kubernetes, CI/CD and Terraform
Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow
Hiring, developing, and retaining cyber data platform talent
Ability to deliver clear input, guide, empower the team to achieve desired outcomes
Developing working relationships with various teams and at all levels of seniority to facilitate the adoption of the data infrastructure
Knowledge of cybersecurity principles and practices
Strong written, verbal and presentation skills
Strong analytical abilities to empower users with self-service capabilities through the data infrastructure.
Experience with collaborative development methods such as mob or ensemble programming
