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Data Engineer (Databricks, PySpark, SQL) at SAP

Seniority in posting: Experienced Professional

Language
Setup
Remote, Hybrid
Location
Transdanubia
Level
senior
Posted

Summary from listing

The role is a senior data engineer responsible for designing, developing, optimizing, and maintaining squad-specific data architectures and pipelines using ETL and data-lake principles. The position also prepares reusable platform artefacts, develops data products for analytics and machine learning, advises on data standards, evaluates emerging tools, and contributes to training and process improvement. It requires a computer science or related degree, at least 10 years of software or infrastructure development experience including 4 years in data engineering, strong SQL and programming skills, distributed computing knowledge, and hands-on experience with Azure data tools.

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