Data Engineer

Job Purpose

Drive the design, implementation, and operation of a robust and scalable data platform by combining infrastructure, data modeling, and automation — from data ingestion to provisioning for analytics and AI. The role plays a key part in the implementation and development of the SAP Business Data Cloud (BDC) environment, leveraging Azure and Databricks technologies. Through close collaboration with BI, AI/Data Science, and global data teams, the position strengthens data-driven decision-making and positions the HARTING Technology Group as an innovative, data-centric organization.

Job Responsibilities:

• Design, manage, and operate core Azure services including ADLS Gen2, Blob Storage, Azure Data Factory, Databricks, and Key Vault
• Deploy and maintain Microsoft Fabric components (Lakehouses, Pipelines, Warehouses, Semantic Models)
• Build and maintain end-to-end data pipelines to ingest data from heterogeneous IT systems (e.g. ERP, CRM, MES, SaaS) into Azure using APIs, connectors, or file-based interfaces
• Model and transform data through the Bronze → Silver → Gold medallion architecture and expose Gold-layer data to Power BI via Fabric Semantic Models or DirectLake
• Define and maintain Unity Catalog, data modeling standards, naming conventions, and metadata documentation
• Manage pipeline orchestration (scheduling, monitoring, alerting, recovery) and enforce access governance across the platform
• Act as the technical bridge between source system owners and the analytics team

Required Qualifications:

• Degree in Computer Science, Business Informatics, or equivalent qualification
• 5+ years of experience in data engineering with a strong Azure focus
• Hands-on experience with Azure Databricks, ADLS Gen2, ADF, and Microsoft Fabric
• Hands-on experience with Python for data processing, automation, and integration tasks
• Experience integrating heterogeneous IT systems into a centralised data platform
• Solid knowledge of data modeling, pipeline development, and cloud infrastructure
• Strong communication skills with ability to collaborate in international, cross-functional teams
• Fluent English (C1) required

Preferred Certifications:

• Experience with Azure Databricks and Microsoft Fabric
• Knowledge of SAP Datasphere and SAP Analytics Cloud (SAC)
• Azure Data Engineer Associate certification (DP-203) or equivalent
• Experience in global enterprise environments

Competencies:

• Technical Expertise — Cloud-native data engineering, Azure/Databricks, pipeline design, and data governance
• Problem-Solving — Proactive, structured approach to resolving data flow and architecture issues
• Ownership & Accountability — End-to-end responsibility for platform components, from design to operations
• Collaboration — Partners effectively with BI, AI/DS, and business stakeholders across global teams
• Adaptability — Keeps pace with evolving technologies and applies new knowledge continuously

Why Join Us?

• Strategic role in HARTING's next-generation data platform
• Modern stack: Azure, Databricks, SAP BDC, and AI/ML-ready architecture
• Direct impact on data-driven decision-making across the organization
• Continuous investment in learning and certifications

Tags

Data Engineering · Azure · Databricks · ADLS · Unity Catalog · SAP BDC · SAP Datasphere · Delta Lake · Python · Data Modeling · Data Pipelines · Data Governance · BI · AI