Security Data Engineer

The Data Platforms Engineering team owns and evolves the security data ecosystem that powers Cyber Defence services across the organisation. The team defines the security data strategy and designs, builds and operates the platforms that collect, store, enrich and deliver high-quality security data at scale. It provides expert engineering capabilities for security data platforms, automation frameworks and AI orchestration environments, enabling the business to operate securely and efficiently while continuously modernising its technology stack.

• Establish and maintain the target-state security data architecture, ensuring scalability, reliability and alignment with Cyber Defence needs.
• Manage the Security Data Lake, including the design, operation, governance and lifecycle management of the centralised data lake and automation platform.
• Engineer the SIEM data platform, covering data onboarding, normalisation, enrichment, quality assurance and operational management of SIEM ingestion pipelines.
• Manage end-to-end data ingestion and processing pipelines, ensuring efficient, secure and compliant movement of data across platforms.
• Provide engineering support for reporting and analytics platforms, enabling KPI generation, dashboards and operational insights for Cyber Defence stakeholders.
• Oversee vulnerability data management, including aggregation, correlation and integration of vulnerability data from multiple internal and external sources.
• Develop and maintain automation capabilities, including workflow orchestration, playbook execution and automated response mechanisms used across Cyber Defence services.
• Support AI orchestration environments, including lab environments, model execution pipelines and AI-driven use case development.
• Drive continuous improvement through automation, optimisation and modernisation of data and workflow platforms.
• Produce operational and strategic reporting, including KPIs, dashboards and data-driven insights to support Cyber Defence leadership.

• College or university degree in IT, Computer Science, Engineering, or an equivalent combination of education and experience.
• 5+ years of IT experience in security data engineering, platform engineering, SOC, or related technical domains.
• Strong interpersonal and communication skills, with fluent English (verbal and written).
• Technical expertise in one or more of the following areas: security data engineering (data ingestion, ETL/ELT, pipeline development)
• Data management and governance
• SIEM platforms
• Automation and orchestration (SOAR, workflow engines, scripting, Python)
• Data and AI security architecture
• Cloud-based data platforms (AWS, Azure)
• Security analytics and reporting (dashboards, KPIs, operational metrics).
• Strong understanding of distributed data architectures (data lakes, lakehouses, streaming).
• Strong understanding of modern engineering practices (CI/CD, infrastructure as code, containerisation).
• Strong understanding of security telemetry sources (endpoint, network, cloud, identity, vulnerability).
• Proactive, collaborative and solution-oriented mindset.
• Strong problem-solving skills with a hands-on engineering approach.

• Familiarity with every technology or term mentioned is not required; the employer will teach new technologies and terminology.
• Candidates with diverse backgrounds and skill sets are encouraged to apply, with greater weight placed on the work they will produce than on past output.

• Hybrid work setup: a flexible remote work environment (40% of the week) combined with onsite facilities and culture.

• Benefits package and valuable discounts on adidas products.
• Individual development, training and a tech community.
• International career opportunities within a highly engaged, multinational team.
• Opportunities to grow and meet career expectations within a team of talented and passionate engineers.

Adidas has spent more than 75 years creating iconic products, consumer connections and experiences, defining sport culture since the beginning. Digital transformation, innovation and continuous improvement are core principles of that culture, and the business is keen to increase the diversity of backgrounds and skills within its teams.