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Develop scalable data platforms, data products, and data-driven software solutions for big data, analytics, and AI applications.
Design and implement modern data architectures, data pipelines, and cloud-based data platforms.
Develop and deploy analytical methods, machine learning solutions, and AI applications.
Integrate structured and unstructured data from various sources, ensuring data quality and availability.
Collaborate with clients, business units, and development teams to implement data-driven innovations throughout the entire lifecycle.
Build automated DataOps, CI/CD, and deployment processes for data and AI applications.

Completed degree in Computer Science, Data Science, or a comparable qualification.
Several years of experience in developing software and data solutions with Python and solid knowledge of SQL.
Experience in building data pipelines, data lakes, data warehouses, or cloud data platforms.
Knowledge in Data Engineering, Data Analytics, and Machine Learning.
Experience with modern big data technologies and cloud platforms.
Ideally, experience with Apache Spark, Databricks, Palantir Foundry, or comparable data platforms.
Knowledge of CI/CD, DevOps, and container technologies is advantageous.
Strong analytical skills and enjoyment in solving complex data-driven questions.
Very good German and good English language skills.

Senior Software & Data Engineer (m/w/d) at EDAG

Senior Software & Data Engineer (m/w/d)