Stellenangebot

Senior Data Engineer / Senior Data Analyst

Der Senior Data Engineer / Senior Data Analyst wird in der Lage sein, Lösungen im Bereich Data Engineering, Analytics und KI zu entwickeln und zu optimieren. Die Stelle beinhaltet die Führung von Datenpipelines und -architekturen innerhalb von Azure sowie die Zusammenarbeit mit interdisziplinären Teams.

Stellenbeschreibung

Aufgaben

  • Lead the development and optimization of data pipelines and architectures within Azure.
  • Collaborate closely with interdisciplinary teams to design, build and maintain AI-enhanced Legal & Compliance platforms.
  • Contribute to the integration of LLM-based tools, document intelligence, and graph databases.
  • Ensure data quality, security, and compliance standards are met.
  • Support stakeholders through actionable data analysis and intuitive data visualizations.
  • Bring a DevOps mindset to ensure smooth and reliable platform operations.

Anforderungen

  • A Bachelor's or Master's degree in Information Technology, Data Science, Business IT, Mathematics, Physics or a related field.
  • Strong proficiency in Python; experience with R and Java is a plus.
  • Solid experience with relational databases, ideally Oracle SQL and PostgreSQL.
  • Experience with Apache Airflow or similar ETL tools.
  • Proficiency with Docker and Infrastructure-as-Code (e.g., Terraform).
  • Solid knowledge of Microsoft Azure, including AI tools and data services.
  • Experience in requirements engineering and working in agile environments.
  • Familiarity with graph databases (e.g., Neo4J) is an advantage.
  • Excellent critical thinking and problem-solving skills.
  • Proficiency in English; German is an advantage.

Wir bieten

  • A dynamic and innovative working environment in the heart of Zurich.
  • An opportunity to work on impactful, AI-driven projects within Legal & Compliance.
  • A culture that values Ownership, Foresight, and Tenacity.
  • Continuous learning and professional development.
  • Flexible working models.

Jobdetails

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