About The Company
The Arolsen Archives is an internationally recognized research center dedicated to documenting and preserving the history of Nazi persecution. As the world's largest archive related to victims and survivors of the National Socialism regime, it holds a collection of approximately 17.5 million records, which are part of the UNESCO World Document Heritage. These documents encompass a wide range of materials related to various victim groups and serve as a vital resource for society, historians, and researchers worldwide. The archive's holdings extend to over 100 million documents, primarily focusing on individual fates, and are continually expanding through ongoing research and digitization initiatives.
In line with its digital transformation strategy, the Arolsen Archives aims to make a significant portion of its collection searchable through advanced technologies by 2030. This involves digitizing documents, developing sophisticated indexing projects, and leveraging modern data management techniques. The organization is committed to innovative approaches, employing cutting-edge technologies, and fostering a collaborative environment to fulfill its societal and educational mission.
About The Role
We are seeking a motivated Data Engineer / Data Scientist to join our dedicated team. In this role, you will play a key part in our efforts to digitize, index, and make accessible the extensive collection of documents related to victims of the Nazi regime. Your responsibilities will include developing and implementing data integration solutions, working on metadata management, and contributing to the transformation and standardization of large datasets. You will have the opportunity to work on innovative projects involving artificial intelligence, georeferencing, and data visualization, often in collaboration with international partners such as Yad Vashem, USHMM, SPINQUE, and Ancestry.
This position offers a unique chance to contribute to a meaningful cause---building a digital memorial for victims of the NS regime---while working in a dynamic, interdisciplinary environment that values innovation, collaboration, and social impact.
Qualifications
- A completed university degree in computer science, geoinformatics, business informatics, mathematics/statistics, or an equivalent qualification or experience in related fields.
- Proven expertise in database management, SQL, data integration, and processing large datasets.
- Experience with programming languages such as Python, Java, or similar, especially in data processing and automation tasks.
- Knowledge of georeferencing and handling spatial data is highly desirable.
- An interest in the history of National Socialism and a motivation to engage in digital memorial projects is essential.
- Familiarity with artificial intelligence, machine learning, data visualization, cloud technologies, and knowledge graphs.
- Strong communication skills in German and English, with additional language skills considered an advantage.
- Ability to work collaboratively in a team, demonstrate enthusiasm for innovative solutions, and adapt to a fast-paced environment.
Responsibilities
- Participate actively in the implementation of various sub-projects focused on metadata integration and mass data collection.
- Design and develop innovative solutions for transforming, integrating, and standardizing large-scale datasets.
- Incorporate artificial intelligence and advanced data analysis techniques into daily workflows to enhance data accessibility and usability.
- Collaborate with international partners on IT-driven projects, contributing technical expertise and innovative solutions.
- Assist in the digitization process, ensuring data quality, consistency, and compliance with organizational standards.
- Support the development of tools and systems for georeferencing and spatial data analysis.
- Engage in continuous learning and application of emerging technologies to improve data management and research capabilities.
Benefits
Our employees benefit from a comprehensive package aligned with the TV AL II collective agreement, including a 38.5-hour workweek, holiday and Christmas bonuses, and a pension scheme. The position offers a starting salary in the Gehaltsgruppe C-6a, with detailed pay scales available upon request. We promote work-life balance through flexible working hours and the option for hybrid work arrangements, combining on-site and remote work.
Beyond competitive compensation, we foster a supportive and inclusive work environment that values diversity and promotes professional development. Employees have the opportunity to engage in meaningful societal work, contribute to a global historical project, and collaborate within an international team dedicated to social justice and remembrance.
Equal Opportunity
The Arolsen Archives are committed to fostering an inclusive and diverse workplace. We prioritize equal opportunity employment and encourage applications from individuals of all backgrounds, including those with disabilities. We support the recognition and celebration of diversity and strive to create a respectful environment where all employees can thrive. Preference will be given to applicants with disabilities, in accordance with applicable laws and policies.
We believe that a diverse team enhances our capacity to innovate and fulfill our mission of remembrance and education. Join us in making a difference through your expertise and dedication.
