As a Data Engineer (m/f/d), you are the driving force behind a powerful data platform. You combine infrastructure, data modeling, and automation to create a robust and scalable data landscape - from data ingestion to provisioning for analytics and AI. You will play a key role in the implementation and development of the SAP Business Data Cloud (BDC) environment, leveraging Azure and Databricks technologies. With your expertise and passion for data-driven solutions, you play a key role in positioning the HARTING Technology Group as an innovative partner and solution provider, strengthening data-based decision-making.
Responsibilities
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Manage and operate Databricks workspace and Azure Data Lake Storage (ADLS)
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Define and maintain Unity Catalog namespace (Bronze, Silver, Gold) and manage other Azure resources (e.g. Key Vault, Data Factory)
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Build and maintain data pipelines and orchestrate their execution (scheduling, monitoring, alerting, recovery)
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Support the introduction and ongoing development of SAP Business Data Cloud (BDC) as part of the data architecture and engineering team
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Responsible for Silver to Gold layer transformation (Databricks) and creation of certified, documented Gold tables
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Federate Databricks Gold data into SAP Datasphere Spaces (via Odata / Delta Sharing) for SAC consumption
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Define and implement data modeling standards and naming conventions, including for SAP BDC data structures
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Configure and maintain Unity Catalog (Databricks) and integrate the data catalog
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Coordinate business glossary and metadata documentation with BI and AI/DS
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Manage access requests and provisioning across Databricks and SAP BDC
Profile
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Degree in computer science, business informatics, or equivalent qualification
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5+ years of experience in data engineering, preferably with Azure, Databricks, and SAP environments
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Experience with Python for data processing, automation, and integration tasks
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Knowledge in data modeling, pipeline development, and cloud infrastructure
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Experience with SAP Business Data Cloud (BDC) or similar SAP data platforms is an advantage
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Analytical, solution-oriented working style with hands-on mentality
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Strong communication skills and ability to work in an international team; fluent English (C1) required
