Data Engineer
Summary
Data Engineer at HARTING in Mexico City who builds and operates the company's data platform end to end — managing Databricks workspaces, Azure Data Lake Storage, Unity Catalog, and data pipelines, and delivering curated Gold-layer data into SAP Business Data Cloud for analytics and AI.
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