Staff Analytics Engineer
1 month ago
We are seeking a highly skilled Staff Analytics Engineer to join our Cyber Analytics team. As a key member of our team, you will be responsible for designing, developing, and deploying scalable data lake and data warehouse solutions and data models that empower our security users to draw insights and develop reporting capabilities, advanced analytics, machine learning, and GenAI solutions to enhance our security defenses.
Key Responsibilities:- Lead data modeling and architectural decisions, guiding technical direction, and mentoring the analytics engineering team to deliver high-quality data products.
- Take charge of the design, development, and delivery of cyber data lake and data warehouse solutions, as well as analytics frameworks and processes to provide quality data products for various cybersecurity use cases.
- Drive the standards for producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code and lead the documentation as a service approach for data models and ETLs documentation.
- Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations.
- Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data lake and data warehouse solutions.
- Proven experience in leading teams to deliver robust data models, analytics frameworks and processes, and providing technical guidance for optimal data product solutions.
- Solid programming experience with Python/PySpark along with proficiency in SQL.
- Experience building data lake and data warehouse solutions on cloud services like Databricks on Azure with Data as a Service (DaaS) model.
- Solid grasp of data lake and data warehouse concepts, analytics architectural patterns, coding standards, code reviews, version control, and CI/CD practices.
- Expertise in ETL and ELT frameworks for large scale real-time and batch data processing, with hands-on experience in orchestration tools like Airflow and dbt.
- Experience implementing enterprise BI tools like Tableau for visualization and dashboard reporting.
- Ability to provide clear input, guide, and create opportunities to help engineers develop and advance.
- Knowledge of cybersecurity principles and practices.
- Annual bonus scheme of up to 20% of base salary.
- Holiday starting at 25 days plus a personal day (plus Bank holidays).
- Buy holiday salary sacrifice scheme (for salaried roles).
- Private medical insurance.
- Retirement savings plan - save between 4% and 7%.
- Life Assurance - 5 x contractual pay.
- 26 weeks maternity and adoption leave (after 1 year's service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 weeks fully paid paternity leave.
- The right to request flexible working from your first day with us.
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family.
- Great colleague deals and discounts.
- Access to our colleague networks providing a space for colleagues to come together from a range of backgrounds.
- Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training.
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