Data Engineer / Cloud Data Platform Engineer (m/f/d)

• Do you enjoy building scalable data architectures, developing modern data pipelines, and transforming heterogeneous data sources into clean, high-performance data models? Do you want to work on challenging projects and help companies create a future-proof foundation for analytics, BI, and data-driven decisions? Then join our team as a Data Engineer / Cloud Data Platform Engineer (m/f/d).

Your tasks

• You conceptualize, implement, and operate modern data platform and warehouse solutions in cloud environments.
• You develop robust, automated batch and streaming pipelines for data extraction, transformation, and provision (e.g., via Python, SQL, dbt).
• You model high-performance data structures (e.g., Medallion Architecture / Bronze-Silver-Gold, Data Vault, Star Schema) and provide interfaces for BI and reporting teams.
• You translate functional and analytical business requirements into scalable technical specifications and data models.
• You manage and lead projects independently – from source connection and transformation to productive cloud orchestration.
• You are responsible for data quality, monitoring, performance optimization, and automated testing along the entire pipeline.
• You document architectures, data flows, and data catalogs, and ensure transparent communication with stakeholders and project teams.

Your profile

• You have a degree in Computer Science, Business Informatics, or a comparable qualification or practical professional experience.
• You have extensive experience in data engineering, data modeling, and building modern data warehouse/lakehouse architectures.
• You have practical knowledge in at least one relevant cloud ecosystem: Google Cloud Platform (BigQuery, Cloud Run, Cloud Composer/Workflows), Microsoft Fabric / Azure (Synapse, Data Factory, Databricks, Fabric Lakehouse)
• You write clean, performant code in SQL and Python.
• Experience with modern Data Ops and transformation tools like dbt, orchestrators (e.g., Airflow, Dagster, Cloud Native Tools), and CI/CD pipelines is explicitly desired.
• You work in a structured, analytical manner and always maintain an overview of consistency, security, and scalability, even with complex data streams.
• You have strong communication skills and know how to clearly convey technical concepts both within the team and to business departments.
• Teamwork makes the dream work: You actively drive best practices and shape data engineering standards together with the team.

Our Tech Stack

• Cloud Platforms: Google Cloud Platform (BigQuery), Microsoft Fabric / Azure, AWS
• Transformation & Orchestration: dbt, SQL, Cloud Workflows
• Languages & Tools: Python, Git, Docker/Containerization, CI/CD

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