Data Engineer – Azure & SAP Data Platform

About the role

We are looking for a Data Engineer to assess complex new data sources, both SAP and non‑SAP, and transform them into business‑ready data sets on our Azure platform. You will design, develop and test prototypes that showcase data value and collaborate with multiple engineering teams to integrate them into core intelligence products.

Key responsibilities

• Analyse structured, semi‑structured and unstructured data for quality, completeness and business relevance.
• Design, document and implement scalable data pipelines using Azure Data Factory, Databricks, Event Hub, Synapse and related services.
• Develop rapid prototypes, present findings to diverse audiences and support their transition to production.
• Collaborate with cross‑functional engineering teams to integrate prototypes into core analytics solutions.
• Maintain and optimise existing pipelines, ensuring reliability and performance.

Required profile

• Minimum 7 years of experience in Azure data solutions, with at least 5 years in data engineering.
• Proven experience delivering end‑to‑end analytics capabilities on Azure, from concept to delivery.
• Automotive domain experience is mandatory.
• Bachelor’s degree in Computer Science or a related field.

Required skills

• Relational and non‑relational databases.
• Azure Data Factory, Azure Databricks, Azure Event Hub, Azure Synapse.
• Python and PySpark programming.
• SQL and Azure DevOps for deployment.
• Knowledge of SAP IS‑Auto, SAP BW/BO; familiarity with Tableau and Power BI is a plus.
• Azure cloud stack certifications are an advantage.