Data Engineer

HARTING stands for strong connections – across the globe. As one of the leading international suppliers of industrial connectivity, we are connecting customers to their digital future. And as an employer? We connect around 6,000 people at our headquarter in Espelkamp and at locations worldwide. Here you’ll find great colleagues, as well as ever new opportunities and innovations revolving around IoT and artificial intelligence. In everything we do, we remain true to our roots: as a regionally connected family business that always stays firmly grounded in spite of our stellar high-tech. Here’s to your unique future with us: Yours!

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

Benefits

Team work (NAZHA)