Data Engineer (w/m/d)

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Das ist der Job

Job Description Design, develop, and operate a PostgreSQL data warehouse as a central, GDPR‑compliant database.

Darum lohnt es sich

Benefits & Conditions True ownership over architectural decisions that stand the test of time. A modern stack that you’ve consciously chosen. Modern office in Höttinger Au, Innsbruck. An international and dynamic team with a culture of diversity.

Regular company and team events. #J-18808-Ljbffr Develop and maintain automated, self‑hosted ingestion pipelines from Salesforce (CRM) and other source systems. Integrate external systems via API: Deskline (property management system), DATEV (accounting software), and future sources.

Provide warehouse data via clean APIs and database connections for Tableau dashboards, internal apps, and AI agents. Build the transformation layer, including staging/mart structure, standardized metric definitions, and cross‑source dbt models. Implement data quality monitoring. Develop workflow automations for agent‑based processes.

Long‑term: actively shape the AI architecture—pgvector‑based RAG setups, specialized agents in the data warehouse, and multi‑agent orchestration. Requirements Work permit for Austria or the EU. 3+ years of experience setting up and managing relational databases and object‑relational mapping, preferably PostgreSQL.

Hands‑on experience with cloud database services. Solid Python skills for data pipelines and API integrations. Proficiency with REST APIs and Git. Talent for troubleshooting and debugging. Good written and spoken English skills. Nice To Have Knowledge of Salesforce data structures or comparable CRM systems.

Experience with dbt or comparable transformation frameworks. Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar). Experience with n8n in the context of AI automation and agent workflows. Data quality tools such as Great Expectations, Soda, or similar. Experience with LLM APIs or vector databases.

An environment where your work is immediately visible—the systems you build are used by people who work with them every day. Employee discounts. An open communication culture. Home‑office options and several weeks of remote work from within the EU. A high‑performing work environment with flat hierarchies and quick decision‑making processes.

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