Senior Data Platform Engineer

As the Senior Data Platform Engineer in the Cyber Data Platform team, you will play a key role in building and maintaining a robust data platform that enables users to develop advanced analytics, machine learning, and GenAI solutions to strengthen our security defences. You will collaborate closely with cross functional data teams to ensure the platform is scalable, secure, and aligned with cybersecurity goals. Also, you will contribute to the data platform architecture and mentor junior team members to deliver high-quality data services. You will be responsible for

Data Architecture: Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.

Data Integration and Transformation: Implement and manage the automated frameworks for integrating data from various security sources into the security data lake. Also, the data transformation frameworks to move data between the raw, trusted, and curated data layers.

Coding: Contribute to raising the quality bar of the team’s codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code

Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components.

Collaboration and Communication: Collaborate with teams from various departments, effectively communicating technical concepts and solutions to individuals with different levels of technical expertise. You will need

Do you have experience in Terraform?, Solid programming experience with programming languages like Python along with proficiency in SQL

Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.,

Solid grasp of Kubernetes, CI/CD and Terraform

Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt

Ability to provide clear input, guide, empower junior members of the team to achieve desired outcomes

Familiarity with machine learning and AI tools is desirable Knowledge of cybersecurity principles and practices

Pulled from the full job description

• Employee assistance programme
• Private medical insurance, * Annual bonus scheme of up to 20% of base salary.
• Holiday starting at 25 days plus a personal day (plus Bank holidays).
• Private medical insurance.
• 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
• Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
• This information is a shortened summary, refer to our policies for full details.

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