Archiviertes Projekt - Azure Data Engineer (m/w/d) geuscht

Für einen Kunden aus der Energiebranche suchen wir einen Azure Data Engineer (m/w/d) auf freiberuflicher Basis bzw. im Dienstleistungsvertrag.

Rahmendaten:
Beginn: 01.05.2024
Laufzeit: 7 MM+
Einsatzort: Remote + Essen
Auslastung: 100 %
Projektsprache: Englisch

Projektbeschreibung in englischer Sprache:

Role Description:
• Data Architecture Development: Design and construct a scalable, efficient, and secure data architecture using Azure and Databricks to facilitate advanced data management and analytics
• Data Pipeline Engineering: Develop and maintain reliable data pipelines to enable data harmonization, optimization, and reusability, supporting cross-organizational efficiency and innovation.
• Team Collaboration and Agile Implementation: Collaborate within a skilled data team to incorporate modern data technologies and methodologies. Drive the integration of agile practices into the development and deployment of data solutions for swift and high-quality outcomes.
• Expertise Sharing and Support: Provide expert knowledge on data architecture and engineering, guide organizational data strategies, and promote a culture of data-driven decision-making and continuous learning.

Purpose of role:
The Data Engineer role is pivotal in establishing and maintaining a state-of-the-art data infrastructure that supports the mission to pioneer the energy revolution. This role contributes directly to operational lifetime management by ensuring the integrity and accessibility of data for Structural Health Monitoring (SHM), ultimately driving the organization's success in renewable energy innovations.

Technical skills:
• Azure and Databricks Proficiency: Hands-on experience in using the Azure tool stack and Databricks for data processing and analytics.
• Data Management Best Practices: Deep knowledge in data harmonization, storage, distribution, quality, integration, and security principles.
• Data Engineering Experience: Proven track record in architecting, developing, and managing data solutions with emphasis on robust data pipeline creation.
• Analytical and Problem-Solving Skills: Strong ability to analyze complex issues and proactive problem-solving with a data-driven approach.
• Data Technologies Knowledge: Familiarity with database technologies, data warehousing, and data modeling, along with practical experience in relational databases and data analysis

Additional Skills:
• Optional: Expierienced in working in an Energy related environment
• German