Data Expert / Data Strategist with German

We are looking for an experienced Data Expert / Data Strategist to join a strategic data management initiative supporting a major EU Municipality. In this role, you will help define and execute data strategies, establish governance frameworks, manage enterprise data assets, and enable data-driven decision-making across multiple public-sector projects.

The position offers a high degree of autonomy and requires a professional capable of translating business goals into effective data management, governance, and analytics practices.

Key Responsibilities

• Develop and maintain enterprise-wide data strategies aligned with organizational objectives.
• Collaborate with business leaders, stakeholders, and technical teams to identify data-related requirements and opportunities.
• Define and implement data governance policies, standards, and procedures.
• Ensure compliance with data protection, security, and regulatory requirements.
• Design and optimize data management processes, data models, and storage solutions.
• Oversee data quality initiatives, including data cleansing, validation, and quality monitoring.
• Analyze data to identify trends, patterns, and actionable insights.
• Support the implementation of modern data platforms, databases, and data pipelines.
• Provide expert guidance on data lifecycle management and best practices.

Required Qualifications

• Master's degree in science.
• Five years of professional experience in Data Strategy, Data Governance, or Data Management.
• Proven experience designing and implementing enterprise data governance frameworks.
• Strong understanding of data quality management and data lifecycle processes.
• Experience working with large-scale datasets and modern data platforms.
• Ability to engage effectively with senior stakeholders and leadership teams.
• Strong analytical and problem-solving skills.
• Fluent German communication skills, minimum B2 level.

Nice to Have

• Experience in public sector or large enterprise environments.
• Knowledge of data architecture and data warehousing concepts.
• Experience with analytics, reporting, or machine learning initiatives.
• Familiarity with cloud-based data platforms such as Azure, AWS, or GCP.

What’s in it for you?

• Wellbeing programs and work-life balance initiatives.
• Private medical and dental care.
• Benefits platform covering shopping, cinema, and sport.
• Co-funding of sports activities, including Multisport and OK system cards and the b-active program.
• Courses and certifications such as Google Cloud, AWS, and ITIL.
• Conferences and expert communities.
• Gift packages for special occasions.
• Additional days off and Atos Jubilee gifts.
• Hybrid working mode, maximum twice per month based on location.
• Charity and eco initiatives.

Recruitment Process

1. Quick conversation with HR.
2. Interview with a manager, IT expert, or project representative.