Analytics Engineer (m/f/d)

You like to work with data and feel at home in the world of SQL? Are you analyzing data structured, identifying relationships and developing practical solutions together with the departments? Then we look forward to meeting you. Since 1931 we have been constantly developing, today in the fields of agriculture and forestry, renewable energies, construction & real estate as well as care & health. Despite our size, we have remained at the heart of a family business: personal, binding and long-term oriented. And right here you come into play. Your new role: Analytics Engineer* (m/w/d) Where: In our office in Winsen (Aller) When: Next time How: Preferred full time

Security & Perspective: An unlimited employment contract in a stable business environment. Further development: Structured onboarding as well as individual training and development possibilities. Food: Daily freshly prepared lunch, supported by an employer grant. Stay fit, right on site: free access to our in-house gym and regular company health days. Estimate that is noticeable: exclusive employee discounts at numerous brands (Corporate Benefits), regular team events as well as an open and valuable feedback culture. Ideal working environment: A workplace with a view to the green, our location in Winsen (Aller) combines modern, concentrated work with a natural environment. Time for you: 28 holiday days for recovery, shutdown and new energy. Precautions with a wide view: above-average support in occupational retirement provision and occupational disability insurance for reliable insurance today and in the future.

Must-Have: Complete studies, e.g. in the field of (economic) informatics or comparable training with relevant professional experience. Practical experience in data analysis and data management as well as handling data from different systems. Very good SQL knowledge and experience with database systems such as MS SQL Server, Oracle or PostgreSQL. Ideally, first experience in building or developing data warehouse solutions. Joy in cooperation with various disciplines. Analytical thinking and a structured way of working. knowledge of Python or comparable programming languages. Knowledge in git. Good knowledge of German (at least C1 according to the Common European Framework of Reference) is necessary due to the daily written and oral communication. Nice-to-Have: Experience with other tools and technologies in data management, such as dbt, Dagster, Superset and Docker Knowledge of on-premise infrastructure

Complete training in health care and nursing or nursing, with further education for nursing care or a degree in nursing/care science successfully completed High social competence, empathy and communication skills Experience in stationary care, ideally in leading position Responsibility, flexibility and commitment Knowledge of quality management is advantageous