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Data Product Engineer (m/f/d)

Project specification

Project duration
Period 01.07.2026 - 31.12.2026
Project capacity
Capacity 50%
Remote work ratio
Remote 100%
Required languages
Languages
German (Advanced)
English (Advanced)

Project expertise

Industries
Information Technology
Areas
Information Technology Product Development Quality Assurance

Description

  • Development and implementation of security concepts based on OneLake Security within a Lakehouse environment

  • Building solutions for defining and managing security roles at row and column level (Row-Level & Column-Level Security)

  • Integrating security logic into an existing custom Python library for creating data products

  • Developing notebook-based implementations within the Lakehouse environment

  • Using and combining Python code, API calls, and automated processes to technically implement the security mechanisms

  • Ensuring that data producers can define security roles independently without needing administrative permissions on the Lakehouse

  • Developing user-friendly functions within the library for easy configuration of access rights for data consumers

  • Documenting and further developing the security and permission concepts within the data platform

Requirements

Microsoft Fabric Experience

Python

One Lake Security Experience

SQL

Experience in Software Projects

Data Engineering Experience

Software Testing

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Frequently asked questions

The project is fully remote, providing complete location flexibility.

The project preferably starts in July 2026 and is planned to end in December 2026 (5 months).

The project requires a commitment of 50% capacity.

The project is 100% remote. You can work from any location.

The project requires German (Advanced) as essential language. Additionally, English (Advanced) is desirable.

The project is related to the following industry: Information Technology.

The project covers the following business areas: Information Technology, Product Development, and Quality Assurance.

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