Data Engineer & Architect AWS (DIA Datamarts)

• We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad.
• We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location).
• From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
• Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach.

• At least 8 years of experience as Data Enginner
• Experience with Snowflake, DBT (including GitHub), Agile delivery methodologies, AWS data services, IaaS, and container technologies.
• Proven experience in both Data Architecture and hands-on Data Engineering roles.
• Strong expertise in data modelling, data warehouse architecture, and modern data platform design.
• Hands-on experience developing ETL/ELT pipelines and data transformations using DBT.
• Experience with orchestration tools such as AWS Step Functions and UC4.
• Experience with Data Catalog and Data Quality solutions, preferably IDMC.
• Experience in GenAI and Machine Learning;
• Strong communication skills and fluency in English.

We are looking for a hybrid Data Architect and Data Engineer who combines strategic architecture expertise with hands-on engineering capabilities. This role is balanced between designing scalable data solutions and implementing them. The successful candidate will define data architecture standards, data models, and governance practices while also actively building, optimizing, and maintaining data pipelines and cloud-based data platforms. As part of the Allianz in Germany data ecosystem OneDIA, more than 200 data products need to be migrated from the legacy technology stack toward Snowflake and AWS.

• Design and create data models for all elements to be modelled (tables, data marts, data warehouses, etc.).
• Define the target data architecture and implement end-to-end ETL/ELT processes within the OneDIA ecosystem.
• Design and implement the required landing zones and data stores for raw data ingestion.
• Design and maintain staging layers using data lake architecture and best practices.
• Define and implement Raw Data Vault and Business Data Vault models across the organization.
• Design and develop customer-specific data warehouses and data marts within the Consumption Layer using data from multiple sources.
• Develop, maintain, and orchestrate data pipelines, ensuring integration with the Data Catalog and validation of data quality and processing results.

Allianz Technology has an in-house recruitment team that sources great candidates directly. Therefore, Allianz Technology does not accept unsolicited resumes from agencies or search firm recruiters.

When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when there is a contract in place. Without a contract in place, we will not accept invoices on unsolicited resumes, even if the candidate was ultimately employed by Allianz.

102511 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent