Security Data Engineer

adidas

Zaragoza

Hybrid

EUR 70,000 - 90,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work setup
Onsite facilities and culture

Job summary

adidas is seeking a Security Data Engineer to own the security data ecosystem, build and operate data platforms, and enable secure, scalable data delivery for Cyber Defense. You will work on data ingestion, governance, and analytics to empower security stakeholders globally.

The role emphasizes CI/CD, cloud platforms (AWS/Azure), and automation, with a collaborative, proactive mindset in a hybrid work environment.

Qualifications

  • Bachelor's degree in IT, Computer Science, Engineering or equivalent
  • 5+ years IT experience in security data engineering, platform engineering, SOC, or related domains
  • Fluent English (verbal and written)
  • Security data ingestion, ETL/ELT, and pipeline development
  • Data management & governance, SIEM platforms
  • Automation & orchestration (SOAR, workflow engines, scripting, python)
  • Cloud data platforms (AWS, Azure)
  • Security analytics & reporting (dashboards, KPIs)
  • Distributed data architectures (data lakes, lakehouses)
  • CI/CD and infrastructure as code practices
  • Containerization and modern engineering practices

Responsibilities

  • Establish and maintain target state security data architecture for scalable data platforms
  • Manage Security Data Lake including governance and lifecycle management
  • SIEM data platform engineering: onboarding, enrichment, QA, and ingestion pipelines
  • Oversee end-to-end data ingestion and processing across platforms
  • Support reporting/analytics platforms for KPI dashboards and insights
  • Oversee Vulnerability Data Management from multiple sources
  • Develop automation capabilities and workflow orchestration
  • Support AI orchestration environments and model pipelines
  • Drive automation, optimization, and modernization of data/workflow platforms
  • Produce operational and strategic reporting for Cyber Defense leadership

Skills

Security data ingestion
Data governance
SIEM platforms
Automation & orchestration
Data architecture
Cloud data platforms
Security analytics
CI/CD
Containerization
Python scripting

Education

Bachelor's degree in IT/CS/Engineering

Tools

AWS
Azure

Job description

At adidas, every day is a chance to flip the script. An invitation to take everything we know and re-invent it. Do it better. Never settling for good enough.

Every day we get up, invent, adapt, improvise, find new ways to collaborate, and do the unexpected. We’re creators, makers and doers. Helping athletes make a difference, not just in their games, but in their lives and in their world.

It’s an obsession. We’ve been doing this for more than 75 years. With an unmatched history and tradition of creating iconic products, consumer connections and experiences, we’ve been defining sport culture since the beginning.

And we’re never done. Come be a part of shaping the future together with us.

IT STARTS WITH YOU
SECURITY DATA ENGINEER
INFORMATION SECURITY / DATA PLATFORMS ENGINEERING

PURPOSE: The Data Platforms Engineering team owns and evolves the security data ecosystem that powers Cyber Defense services across the organization. We define the security data strategy and design, build, and operate the platforms that collect, store, enrich, and deliver high quality security data at scale. Our mission is to ensure that Cyber Defense teams, Information Security and key stakeholders have reliable, timely, and actionable data to protect the organization.

We provide expert engineering capabilities for security data platforms, automation frameworks, and AI orchestration environments, enabling the business to operate securely and efficiently while continuously modernizing our technology stack.

KEY ACCOUNTABILITIES
  • Establish and maintain the target state security data architecture, ensuring scalability, reliability, and alignment with Cyber Defense needs.
  • Manage the Security Data Lake, including design, operation, governance, and lifecycle management of the centralized data lake and automation platform.
  • SIEM Data Platform engineering, covering data onboarding, normalization, 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 Defense 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 Defense services.
  • Support AI orchestration environments, including lab environments, model execution pipelines, and AI driven use case development.
  • Drive continuous improvement through automation, optimization, and modernization of data and workflow platforms.
  • Produce operational and strategic reporting, including KPIs, dashboards, and data driven insights to support Cyber Defense leadership.
WHAT WE ARE LOOKING FOR
  • College or university degree in IT, Computer Science, Engineering, or 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 & governance
  • SIEM platforms
  • Automation & orchestration (SOAR, workflow engines, scripting, python)
  • Data & AI Security Architecture
  • Cloud based data platforms (AWS, Azure)
  • Security analytics & reporting (dashboards, KPIs, operational metrics)
  • Strong understanding of:
  • Distributed data architectures (data lakes, lakehouses, streaming)
  • Modern engineering practices (CI/CD, infrastructure as code, containerization)
  • Security telemetry sources (endpoint, network, cloud, identity, vulnerability)
  • Behavioral competencies:
  • Proactive, collaborative, and solution oriented mindset.
  • Strong problem solving skills with a hands on engineering approach.
  • Growth mindset focused on continuous learning and improvement.
  • Passion for modern technology, automation, and data driven security.
  • Ability to adapt quickly to evolving technologies and business needs.
WHAT IF I DON’T CHECK ALL THE BOXES

It’s ok if some of the technology or terminology mentioned here are new for you. We’ll happily teach you.At adidas, we’re keen to increase our team’s diversity of backgrounds and skills, and we’re more interested in the work you will produce than that work you’ve already produced in the past. If you’d love to work with us, then we’d love to hear from you.

What We Offer
  • You will be part of a company where digital transformation, innovation and continuous improvement are core principles of our culture.
  • You will join a team of talented and passionate quality engineers, with a lot of opportunities to grow and reach your expectations.
  • You will be part of a highly engaged, multinational with international career opportunities.
  • Individual development, training and a tech community.
  • Hybrid Work Setup: enjoy the advantages of a flexible remote work environment (40% Weekly) combined with the amazing onsite facilities and culture.
  • Competitive salary, benefits and valuable discounts on adidas products.

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace.

We do not tolerate the harassment or discrimination toward any of our applicants or employees.

We are an equal opportunity employer.

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