devops engineer for data platforms

Allianz Technology is Allianz's global IT service provider, delivering comprehensive end-to-end IT solutions that support the group's digitalization. It operates, optimizes, transforms, and innovates infrastructure, applications, and services across Allianz companies to help create better customer experiences.

• Design, build, and optimize data pipelines and models that drive insights and decision-making;
• Operate and maintain data marts in collaboration with domain experts;
• Prepare Oracle systems for migration to dbt and Snowflake;
• Design, develop, and maintain scalable data models and pipelines using dbt and Snowflake;
• Collaborate with data analysts and business stakeholders to understand requirements and translate them into robust technical solutions;
• Implement data transformation processes to ensure data quality, consistency, and reliability;
• Optimize database performance and query execution for efficient data retrieval and processing;
• Contribute to the continuous improvement of data architecture and infrastructure;
• Develop documentation and provide training to team members on data product functionalities and best practices;
• Stay current with industry trends and advancements in data engineering and analytics technologies.

• Degree in Computer Science, Data Engineering, or a related field, or a comparable qualification through professional experience;
• Proven experience designing, developing, and operating complex data warehouse environments containing cross-functional business data;
• Strong SQL skills;
• Experience with data transformation and ETL processes;
• Experience with dbt and Snowflake, including building and optimizing data models and pipelines;
• Familiarity with cloud data platforms and ecosystem tools;
• Strong teamwork and communication skills;
• Goal-oriented and independent work style with a focus on high quality and customer orientation;
• Commitment to continuous development in an agile team;
• Confident English communication;
• Passion for creating data-driven solutions that enhance customer experiences and drive business growth;
• Nice to have: Basic German, machine learning knowledge.

• Hybrid work model with up to 25 days per year working from abroad;
• Company bonus scheme;
• Pension;
• Employee shares program;
• Multiple employee discounts;
• Career development and digital learning programs;
• International career mobility;
• Flexible working and health and wellbeing offers, including healthcare and parental leave benefits.