Senior Data Engineer – Sales Data Hub (m/w/d)

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Duration: 3 months+ | Start: 11/2026 | Remote: 80%

Beschreibung

IT
Data Architecture
Data Hub
Data Infrastructure
Data Integration
Data Terminal Equipment
Database Development
Microsoft SQL Server Data Engine (MSDE)
Database Engines
Data Pipeline
Description
General Conditions
Start: As soon as possible
End: July 31, 2027
Workload: 100% (40 hours per week)
Total Volume: 40 hours per week, depending on the actual start date
Location: Predominantly remote, with occasional on-site travel required
Language: English, German is a plus

Project Description
We are looking for an experienced Senior Data Engineer (m/w/d) to support the design, development, and continuous improvement of a Sales Data Hub within an international industrial environment.
The project focuses on establishing reliable, scalable, and secure data foundations that enable efficient data usage across different business units and data domains.
The Senior Data Engineer will work closely with the Product Owner, data architects, business stakeholders, and engineering teams to translate business requirements into robust, maintainable, and high-performing data solutions.
In addition to hands-on technical implementation, the role involves engineering leadership, contributing to architectural decisions, establishing technical standards, and ensuring that data products and platform services meet business and operational requirements.

Key Responsibilities
Design, develop, implement, and maintain scalable data pipelines and data integration solutions to support reliable and efficient data processing.
Build, enhance, and continuously optimize data products and platform capabilities covering data ingestion, processing, storage, and consumption.
Ensure high standards of data quality, reliability, security, performance, and operational stability across data pipelines and platform services.
Translate business and product requirements into effective, scalable, and maintainable technical solutions.
Collaborate closely with Product Owners, data architects, data owners, analysts, engineering teams, and other relevant stakeholders.
Contribute to the definition and implementation of technical standards, architectural decisions, engineering best practices, and technical documentation.
Monitor, troubleshoot, maintain, and continuously improve existing data pipelines and platform services to ensure stable operations.
Support the automation of data engineering processes, including testing, deployment, and operational workflows.
Provide technical guidance, knowledge sharing, and mentoring to other data engineers.
Develop reusable, sustainable, and standardized data solutions that can be applied across multiple business units and data domains.

Must-Have Requirements
Proven experience in designing, developing, and maintaining scalable data pipelines and data integration solutions.
Strong expertise in building and enhancing data products and data platform capabilities for ingestion, processing, storage, and consumption.
Demonstrated experience in ensuring data quality, reliability, security, performance, and operational stability.
Proven ability to translate complex business and product requirements into robust and effective technical solutions.
Experience collaborating with Product Owners, data architects, data owners, analysts, and cross-functional engineering teams.
Strong understanding of technical architecture, engineering standards, documentation, and data engineering best practices.
Hands-on experience in monitoring, troubleshooting, and continuously optimizing data pipelines and platform services.
Practical experience supporting automation, testing, deployment, and operational processes within data engineering environments.
Experience providing technical guidance and mentoring to other data engineers.
Ability to design and implement reusable, maintainable, and sustainable data solutions across different business units and data domains.
Willingness to undertake occasional on-site travel as required by the project.