
Security Engineer III - Data Engineering
- London
- Permanent
- Full-time
- Execute data engineering solutions, including design, development, and technical troubleshooting with the ability to apply knowledge of existing solutions to satisfy security requirements for Cyber Operations users and stakeholders (e.g., clients, users, product, platform, application owners).
- Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendor sources.
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
- Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
- Collaborate with cross-functional teams to understand requirements, develop solutions, and deliver high-quality software solutions.
- Troubleshoot and debug issues, perform root cause analysis, and implement effective solutions.
- Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and implementing rigorous unit/integration testing.
- Conduct code reviews, provide constructive feedback, and mentor team members.
- Stay up-to-date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity.
- Add to a team culture of diversity, equity, inclusion, and respect.
- Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment.
- 3+ years of work-related experience in a professional software engineering role.
- Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as dbt is desired.
- Experience with Big Data & ETL tools like Alteryx, Pentaho, Hadoop, Apache Airflow, or AWS Glue.
- Strong proficiency in Python, with a deep understanding of object-oriented programming principles.
- Strong understanding of API protocols and standards, including REST and GraphQL.
- Experience with CI/CD pipelines, automated testing, Git and GitHub, containerization, and infrastructure as code (IaC) tools like Terraform.
- Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, and Test Driven Development.
- There may be requirements to build and implement web apps/UI, therefore experience with front-end technologies or Business Intelligence (BI) tools would be ideal.
- Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels, provide training, and solicit feedback.
- Experience with Business Intelligence tools such as Qlik, Tableau, or PowerBI.
- Experience with front-end technologies, such as HTML5, CSS3, and JavaScript.
- Knowledge of JavaScript frameworks, such as React (preferred), Angular, and Vue.js.
- Knowledge of CSS frameworks, such as Bootstrap, Material UI, and Tailwind CSS.
- Data Science or AI/ML experience.
- AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer).