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Senior Data Security Engineer (f/m/d)
Исключительно привлекательная вакансия благодаря четырехдневной рабочей неделе (Flexi-Week) при сохранении полной зарплаты. Компания предлагает отличный социальный пакет, удаленный формат работы и возможность реально влиять на стратегию безопасности данных.
Сложность вакансии
Роль требует глубокой экспертизы в проектировании систем защиты данных с нуля в гибридных облачных средах. Высокая сложность обусловлена необходимостью совмещать техническую реализацию (DLP, DSPM) с разработкой политик управления данными и комплаенсом.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior Data Security Engineer в Берлине рыночный диапазон составляет 85,000 – 110,000 EUR в год. Учитывая уникальный бонус в виде четырехдневной рабочей недели, предложение от Awin является крайне конкурентоспособным на европейском рынке.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Security Engineer position at Awin. With extensive experience in designing and implementing data classification frameworks and DLP programs across complex hybrid environments, I am confident in my ability to build and operationalize Awin’s data security capability from the ground up. My background in AWS, Azure, and M365, combined with a deep understanding of GDPR and emerging AI governance, aligns perfectly with your mission-critical need to protect central data assets.
Throughout my career, I have successfully bridged the gap between technical security controls and broader data governance strategies. I am particularly drawn to this role's implementation-led nature and the opportunity to work closely with Security Architects to define policy architecture and enforcement logic. My proactive approach to navigating ambiguous environments and my ability to communicate complex security requirements to diverse stakeholders will allow me to contribute immediately to Awin's security posture.
I am also very impressed by Awin's commitment to employee well-being, specifically the Flexi-Week initiative. I look forward to the possibility of bringing my expertise in DSPM and automated labeling policies to your team and helping Awin maintain its position as a leader in the open partner ecosystem.
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Откликнитесь в awin уже сейчас
Присоединяйтесь к Awin, чтобы возглавить направление защиты данных в инновационной среде с уникальной четырехдневной рабочей неделей!
Описание вакансии
Purpose of positionAt Awin, data is central to everything we do, and protecting it is mission‑critical. As a Senior Data Security Engineer (f/m/d) you will be responsible for building and operating Awin’s data security capability as a dedicated discipline. In this senior, implementation-led role, you will lead the implementation of Awin's data loss prevention controls and data security posture management across a complex hybrid environment spanning AWS, Azure, and third‑party SaaS platforms.
In this position, you will own data security tooling and controls within the Information Security function, working in close partnership with the Security Architect to engineer solutions that align with Awin frameworks and reference architectures, while engaging directly with technical and data governance teams to ensure that security requirements integrate coherently with the broader data strategy.
Your location:Berlin, Munich, Madrid, Warsaw, London, Milan, Iași, Stockholm, or Paris
Key Tasks
- Architect and implement Awin's data security framework in partnership with the Security Architect. Build and operationalise the classification taxonomy, sensitivity tiers, and data handling standards that will underpin all downstream DLP, DSPM, and AI governance controls.
- Support the implementation of Awin's data classification programme —labelling policies, and classification coverage across all data environment where sensitive data is processed or stored.
- Own the implementation of DLP policies that prevent sensitive data from being shared, exported, or transmitted in breach of Awin's confidentiality risk appetite. Define policy architecture, alert thresholds, and enforcement logic. Work with Internal IT on deployment and tuning, and maintain audit-ready records of DLP events and enforcement actions.
- Operationalise data security posture management tooling to provide visibility and control over how sensitive data flows to AI tools and third-party services. Ensure that AI data governance controls are technically enforceable, supporting Awin's AI risk appetite statements and the requirements of the AI governance framework.
- Act as the data security domain expert for the Security Architecture function. Work closely with the Security Architect to provide specialist input into architecture reviews, product designs, and technology assessments where data security considerations are material.
- Engage directly with stakeholders to understand how sensitive data flows across the organisation, and to ensure that data security requirements integrate coherently with the broader data governance framework.
Skills & Expertise
- Demonstrable experience in a dedicated, senior data security role, with a proven track record of designing and implementing data classification frameworks and DLP programmes in complex, multi-cloud or hybrid environments
- Hands-on experience with DLP policy architecture, implementation, and tuning across endpoint, network, and cloud channels, including data classification tooling (sensitivity label schema, sensitive information types, auto-labelling policies)
- Solid understanding of cloud data environments — AWS, Azure, M365 — including where sensitive data resides and how it moves, and working knowledge of CASB concepts and how they complement DLP controls
- Experience engaging with data engineering, data architecture, or data governance teams, with sufficient breadth across data cataloguing, lineage, and access governance to position data security as an enabler rather than a constraint
- Exposure to security architecture processes — architecture reviews, reference architecture development, and architectural decision-making — and an understanding of how AI services handle and retain data, with awareness of AI governance and DSPM as an emerging area of responsibility
- Working knowledge of GDPR obligations and how regulatory requirements translate into technical controls
- Able to operate with a high degree of autonomy in ambiguous, evolving environments — this role is building a capability from a fragmented baseline and requires someone who can design, iterate, and adapt without waiting for direction
- Strong credibility with senior technical stakeholders and clear communication across audiences — able to engage as a peer with the Security Architect and data professionals, and translate complex requirements into practical guidance for non-technical stakeholders
- Some familiarity with Microsoft Purview DataShield policy orchestration across hybrid environments would be helpful
Our Offer
- Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days.
- Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
- Pension: Awin offers access to an additional pension insurance to all employees in Germany.
- Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
- Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development.
- Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
Established in 2000, Awin is proud of our dynamic, social and inclusive culture.
Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.
Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.
Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspriger.com/en/inside/the-essentials-what-we-have-adapted-and-why
Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.
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Навыки
- Microsoft 365
- AWS
- Azure
- Information Security
- Data Governance
- Microsoft Purview
- Security Architecture
- GDPR
- DLP
- Data Loss Prevention
- DSPM
- CASB
Возможные вопросы на собеседовании
Проверка практического опыта внедрения систем классификации данных в сложных инфраструктурах.
Опишите ваш опыт разработки таксономии классификации данных для организации с гибридной облачной средой (AWS/Azure). С какими основными трудностями вы столкнулись?
Оценка навыков настройки DLP-политик и минимизации ложных срабатываний.
Как вы подходите к настройке порогов срабатывания и логики принудительного исполнения в DLP-системах, чтобы обеспечить безопасность, не мешая бизнес-процессам?
Проверка понимания современных трендов в области безопасности ИИ.
Какие специфические риски безопасности данных вы видите при использовании корпоративных AI-инструментов и как DSPM помогает их контролировать?
Оценка способности работать автономно и выстраивать процессы.
В описании вакансии указано, что роль предполагает работу в условиях неопределенности. Расскажите о случае, когда вы создавали функцию безопасности с нуля при отсутствии четких инструкций.
Проверка навыков взаимодействия с другими техническими командами.
Как вы убеждаете команды Data Engineering внедрять контроли безопасности, если они воспринимают их как ограничение для своей работы?
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