Responsibilities
- Help the Data Protection and Legal Team assess new IT systems, AI tools, and software applications from a privacy and data flow perspective.
- Support the integration of privacy-by-design principles into technical projects and platforms.
- Assist in preparing and maintaining documentation for privacy and data protection assessments.
- Contribute to the standardization, optimization and improvement of data protection templates and privacy risk management processes.
- Collaborate with internal stakeholders to understand how systems work and identify where privacy risks might arise.
- Support the Data Protection Team in translating technical concepts into understandable privacy risk information and assist in the review of data protection documentation.
- Assist Legal and Data Protection teams in enhancing and automating the monitoring and evaluation of EU and local regulatory changes.
- Provide technical support in creating interactive internal training materials (e.g. short tutorials, guides, FAQs, AI-assisted learning content) to improve privacy and AI awareness across the company.
- University degree
- Strong interest in technology and data.
-
1–3 years of experience in privacy, IT, software, data, information security, or legal/compliance (including internships or in-house roles); this role is also suitable for candidates looking to transition from a technical or legal position into privacy and AI governance.
- Basic understanding of GDPR, data protection principles and privacy requirements
- Strong willingness to learn and grow into the role, with a proactive interest in privacy, data protection, data compliance and AI.
- Familiarity with IT systems, data flows, and basic system architecture concepts.
- Basic knowledge or practice in coding or scripting languages (e.g. for simple workflow or data flow automation) and interest in developing this further.
- Basic AI prompting skills and interest in using AI tools (e.g. ability to design clear, context-rich prompts and review outputs for accuracy and relevance).
- Good communication and documentation skills.
- Team player, comfortable working with different stakeholders, with a consultative and solution-oriented mindset.
- Professional proficiency in English, both written and spoken.
Nice to Have
- German language skills (spoken and written).
- Previous experience within a technology or software company or basic familiarity with machine learning, AI systems, or data compliance concepts.
- Relevant internships, projects, or courses in privacy, data compliance, or information security.
- Basic understanding of the software development lifecycle, cloud platforms and APIs.
- Any relevant certification in privacy or other related disciplines
At Accesa you can
Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.
- Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.
- Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.
- Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.
- Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.
