Data Engineer for Information Domain

Are you passionate about utilizing data to drive business decisions? Do you have a strong background in data engineering and a deep understanding of the information domain? Allianz is seeking a highly skilled and motivated Data Engineer to join our team and help us unlock the full potential of our data. As a Data Engineer for the Information Domain, you will play a crucial role in designing, building, and maintaining data pipelines and systems that will enable us to extract valuable insights from our vast data resources. If you are a data enthusiast with excellent technical skills and a drive for continuous improvement, we want to hear from you!

1. Design and build efficient and scalable data pipelines and systems to extract insights from large and complex datasets.
2. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
3. Develop and maintain data models, databases, and data warehouses to support business needs.
4. Identify and implement new data tools and technologies to improve data processing and analysis.
5. Ensure data quality and integrity by implementing data validation and monitoring processes.
6. Conduct performance tuning and optimization to enhance data processing speed and efficiency.
7. Troubleshoot and resolve data-related issues in a timely manner.
8. Stay up-to-date with the latest advancements in data engineering and continuously improve processes and systems.
9. Communicate effectively with stakeholders to gather requirements and provide updates on project progress.
10. Collaborate with data scientists and analysts to support data-driven decision making.
11. Document data pipelines, processes, and systems to ensure knowledge sharing and maintain data integrity.
12. Participate in data governance initiatives to ensure compliance with data security and privacy regulations.
13. Mentor and train junior data engineers to build a strong data engineering team.
14. Proactively identify opportunities for data optimization and propose solutions to enhance data quality and availability.
15. Continuously monitor and evaluate the performance of data systems and make recommendations for improvements.

According to JobzMall, the average salary range for a Data Engineer for Information Domain in 60323 Frankfurt-Innenstadt I, Germany is between €60,000 to €90,000 per year. However, salaries can vary depending on experience, skills, and the specific company and industry. Senior Data Engineers with more experience and advanced skills can earn upwards of €100,000 per year. It is also worth noting that salaries may be higher in larger cities like Frankfurt, compared to smaller cities or rural areas.

Allianz SE engages in the provision of insurance and investment advisory services. It operates its business through following segments: Property-Casualty, Life/Health, Asset Management, and Corporate and Other. The Property-Casualty segment offers motor liability and own damage, accident, general liability, fire and property, legal expense, credit, and travel insurance.