Data Engineer_D1011

Overall Objectives of Job

Position Summary

The Application Developer within the Reporting & Analytics team plays a key role in delivering high-quality data and reporting solutions. Based in the Delivery Hub in India, the role involves designing and implementing technical solutions while collaborating closely with international teams and stakeholders to meet customer requirements.

Key Responsibilities:

• Architect technical solutions and drive implementation across reporting platforms
• Collaborate with product owners and team members to understand and refine business requirements
• Take full ownership and accountability for the development, testing, and deployment of reporting features
• Design, build, and maintain scalable batch and streaming data pipelines (ETL/ELT) to move and transform data reliably.
• Develop and optimize data models for analytics use cases.
• Implement data quality checks, testing, observability, and lineage to ensure accuracy and trust.
• Optimize data infrastructure for performance and cost in cloud environments.

Key requirements / skills / experience:

• 2–3 years of experience in data engineer, preferably in a data and reporting context
• Strong technical skills in data engineering and transformations

Hands-on experience with Python, SQL and Py-spark

• Familiarity with Databricks, MS synapse and Power BI tools
• Familiarity with engineering best practices such as TDD and CI/CD
• Excellent communication and teamwork skills, with experience working across global teams
• International exposure or working experience with geographically distributed teams
• Ability to work between east to west coast US and European time zones
• English business-level proficiency required

Future Challenges

• Adapting to evolving data architecture and reporting technologies in a fast-paced delivery environment
• Ensuring seamless coordination and communication across global teams to meet aggressive delivery timelines
• Driving innovation in reporting automation and engineering practices
• Enhancing system scalability and performance while maintaining data quality and integrity
• Having a basic understanding or exposure to AI tools would be a plus.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Join us. Let's care for tomorrow.
Note: Diversity of minds is an integral part of Allianz’ company culture. One means to achieve diverse teams is a regular rotation of Allianz Executive employees across functions, Allianz entities and geographies. Therefore, the company encourages its employees to have motivation in gaining varied skills from different positions and to collect experiences from across Allianz Group.