Join a data engineering and DevOps team to build, run and continually improve modern data products on a cloud-first stack. The role combines hands-on development with DevOps practices: designing and operating robust ELT pipelines and data models, automating deployments, monitoring reliability and ensuring quality, while supporting migration and modernization initiatives on AWS and Snowflake.
Responsibilities
- ▹Collaborate with analysts and engineers in agile, cross-functional teams to deliver integrated data solutions
- ▹Build and operate data pipelines with AWS (S3, Glue, Lambda, Step Functions, CloudWatch), Snowflake, PySpark/Python and dbt
- ▹Design and implement ELT pipelines, database structures and data models aligned to business needs
- ▹Ensure reliability and performance via proactive monitoring, logging and troubleshooting (CloudWatch, Dynatrace)
- ▹Handle incident/problem management, root-cause analysis and stakeholder communication
- ▹Execute releases and automate deployments using CI/CD and IaC (GitHub Actions, Terraform); follow DevOps best practices
- ▹Perform testing and quality checks to maintain code quality and data integrity
- ▹Drive continuous improvement and support adoption of new tools and technologies during platform migration
Requirements
- ▹Hands-on experience with Snowflake, AWS services (Glue, Lambda, S3, CloudWatch) and PySpark/Apache Spark
- ▹Proven track record designing and operating ELT/ETL pipelines, database design and data modeling
- ▹Data DevOps practices: GitHub-based version control and code reviews, CI/CD for data pipelines (e.g. GitHub Actions), IaC with Terraform, monitoring/logging (Dynatrace/CloudWatch)
- ▹Fluent in English
- ▹Basic knowledge of AI technologies, principles and their practical use
Nice to have
- ▹Familiarity with dbt or willingness to learn it
- ▹German proficiency
- ▹Experience in agile (Scrum) environments
- ▹Experience in insurance environments
Soft skills
What we offer
- ▹Hybrid work model including up to 25 days per year working from abroad
- ▹Compensation and benefits package with company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
- ▹Career development and digital learning programs and international career mobility
- ▹Flexible working, health and wellbeing offers including healthcare and parental leave benefits
- ▹Access to over 10,000 on-demand learning resources and programs
- ▹Access to the AYMC Sportpass with various sports and fitness activities
- ▹Parking support for a seamless commute
About the company
Headquartered in Munich, Germany, Allianz Technology is Allianz's global IT service provider delivering IT solutions that drive the group's digitalization. With more than 11,000 employees in over 20 countries it runs, optimizes, transforms and innovates infrastructure, applications and services together with Allianz companies. The position is a full-time, permanent professional role in IT & Tech Engineering (reference 97038).
Similar jobs

Databricks Data Engineer

Data Engineer

Manager, Client Data Engineering

Technology and Innovation - Data Engineering Manager

Data Platform Engineer

