We are looking for an experienced Engineering Manager (Backend) to lead the people, delivery, and operational excellence behind our backend engineering organisation within the Advanced Analytics (DA3) function.
In this role, you’ll oversee teams building the foundational backend capabilities that power data, analytics, AI, and digital products across the organisation. You’ll lead a diverse backend engineering population spanning both Java/Spring Boot and Python/FastAPI ecosystems, helping scale high-performing teams while enabling consistent engineering standards, developer productivity, and reliable service delivery.
This is a leadership role focused on people management, team growth, hiring, workforce planning, and delivery excellence . You will work closely with senior technical leaders who own architecture and engineering standards, ensuring teams have the structure, capacity, and support required to deliver at scale.
Lead and Grow High-Performing Engineering Teams
Build Organisational Capacity
Enable Engineering Excellence
Drive Delivery and Cross-Functional Collaboration
Talent Acquisition and Team Development
You Do Not Need To Be The Technical Decision Maker, But You Should Have Strong Technical Credibility Across Modern Backend Engineering Practices, Including
Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey. We are there to empower and encourage you with your personal and professional development ensuring that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged. Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance.
At Allianz we use some AI-assisted technology as part of our recruitment process to help match candidates to roles based on skills, experience, job title, and location. AI supports our recruiters by enhancing the efficiency and accuracy of candidate assessments and job recommendations, while all applications are reviewed by our recruitment team and final hiring decisions are made by humans.
| Data & AI | Professional | Allianz Executive | Allianz Partners | Full-Time | Permanent
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. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us.
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let’s care for tomorrow.
Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz's company culture. One means to achieve this is a regular rotation of Allianz employees across functions, Allianz entities and geographies. Therefore, Allianz expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.
#J-18808-LjbffrVeröffentlichungsdatum:
31 Jul 2026Standort:
MünchenTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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