Data Engineer 1

Description

Summary: As a Data Engineer, you will drive a robust and scalable data platform, combining infrastructure, data modeling, and automation, and playing a key role in the SAP Business Data Cloud environment using Azure and Databricks. Highlights: 1. Drive a robust and scalable data platform using Azure and Databricks 2. Key role in SAP Business Data Cloud implementation and development 3. Strengthen data-based decision-making with innovative solutions 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** * Manage and operate Databricks workspace and Azure Data Lake Storage (ADLS) * Define and maintain Unity Catalog namespace (Bronze, Silver, Gold) and manage other Azure resources (e.g. Key Vault, Data Factory) * Build and maintain data pipelines and orchestrate their execution (scheduling, monitoring, alerting, recovery) * Support the introduction and ongoing development of SAP Business Data Cloud (BDC) as part of the data architecture and engineering team * Responsible for Silver to Gold layer transformation (Databricks) and creation of certified, documented Gold tables * Federate Databricks Gold data into SAP Datasphere Spaces (via Odata / Delta Sharing) for SAC consumption * Define and implement data modeling standards and naming conventions, including for SAP BDC data structures * Configure and maintain Unity Catalog (Databricks) and integrate the data catalog * Coordinate business glossary and metadata documentation with BI and AI/DS * Manage access requests and provisioning across Databricks and SAP BDC **Profile** * Degree in computer science, business informatics, or equivalent qualification * 5\+ years of experience in data engineering, preferably with Azure, Databricks, and SAP environments * Experience with Python for data processing, automation, and integration tasks * Knowledge in data modeling, pipeline development, and cloud infrastructure * Experience with SAP Business Data Cloud (BDC) or similar SAP data platforms is an advantage * Analytical, solution\-oriented working style with hands\-on mentality * Strong communication skills and ability to work in an international team; fluent English (C1\) required