Job Description
Data Engineer
Position type:  Full-time
Type of contract:  Permanent

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!

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
Benefits:  Team work (NAZHA)
Information at a Glance
Recruiter Photo: 
Contact person:  Hector Montemayor
Company Code:  HARTING México S.A. de C.V.
Recruiter phone: 
LinkedIn URL Recruiter:  https://www.linkedin.com/in/hector-montemayor-3475a8a3/?skipRedirect=true
Job Location (Short):  Mexico City, Mexico
Region:  Mexico
Position area:  IT / Digitalization
Apply now