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# Senior Data Engineer - Snowflake, dbt & Data Platform Operations

- **Company:** iSK GmbH Personaldienstleistungen
- **Location:** Nürnberg, Germany
- **Experience:** Expert
- **Salary:** €75,000 - €85,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Hypertext Transfer Protocols (HTTP), JSON, Open Data Protocol, SAP Materials Management, SQL Databases, Technical Data Management Systems, Extensible Markup Language (XML), Scripting, Snowflake, Gitlab, Git, Data Layers, Api Gateway, Restful APIs, Data Pipelines
- **Published:** October 31, 2026
- **Apply:** https://www.xing.com/jobs/erlangen-senior-data-engineer-snowflake-dbt-data-platform-operations-158862765

## About the Role

For a long-term project assignment with an international technology company in Erlangen, we are looking for an experienced Senior Data Engineer (m/f/d) with a strong focus on production support, data-platform reliability and root-cause analysis., * Relevant vocational training, university degree or equivalent professional experience in a technical field

 * At least 5 years of professional experience in Data Engineering or technical data-platform support
 * Strong hands-on experience with SQL, Snowflake and dbt
 * Experience with REST APIs, OData, JSON/XML, Git/GitLab and CI/CD
 * Strong production troubleshooting and root-cause-analysis skills
 * Fluent English, both written and spoken; German language skills are not required Experience with SAP MM/procurement data, AWS services such as S3, API Gateway or Aurora, and Python scripting is an advantage.

## Description

You will work at the intersection of Data Engineering and Production Operations, investigating complex data issues across Snowflake, dbt, SQL, APIs and enterprise integrations and implementing sustainable fixes within the data layer., * Monitor Snowflake databases, warehouses, data pipelines, dbt runs and data-quality checks

 * Investigate missing, delayed or incorrect data and perform end-to-end root-cause analysis
 * Troubleshoot SQL queries, views, transformation logic and failed dbt models or tests
 * Analyze REST and OData integrations including HTTP requests, JSON/XML payloads, authentication and endpoint configurations
 * Implement, test and safely deploy sustainable data-layer fixes through established CI/CD processes