Das ist der Job
Familiarity with orchestration tools like Apache Airflow is essential.
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Key Responsibilities Design and implement scalable, high‑performance data solutions using industry best practices and modern technologies, ensuring optimal integration, reliability, scalability, flexibility, and maintainability Translate business requirements and processes into well‑architected technical solutions, aligning with enterprise architecture standards and long‑term technology strategy Define and document solution architecture, technical designs, and requirements to support business objectives while balancing practical implementation and strategic vision Provide technical leadership and guidance to engineering and support teams, ensuring alignment with business and IT strategies Develop and present architecture and design artifacts to both technical and non‑technical stakeholders Proactively identify challenges, assess downstream impacts across business domains, and drive solution design through research, validation, and stakeholder consensus Apply industry a Job Description
We are seeking a highly motivated and self-driven Data Engineer with a strong background in building scalable batch and streaming data pipelines.
The ideal candidate brings deep expertise in Google Cloud Platform (GCP), with hands‑on experience in Dataflow, BigQuery, Python, and graph databases such as Neo4j and Google Spanner.
