Senior Data / AI Consultant

Rockstar Recruiting AG
Berlin, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
€90,000.0 - €120,000.0
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Microsoft Azure Cloud Computing Cloud Engineering Data Architecture Information Engineering Data Infrastructure Data Warehousing Python (Programming Language) Microsoft Copilot Standard Sql SQL Databases
+8 more
Azure Data Factory Retrieval-Augmented Generation Palantir Foundry Apache Spark Generative AI Information Technology Azure Synapse Analytics Databricks

Job description

  • Translating business needs into effective data architectures and solutions
  • Supporting different aspects of projects, including areas such as cloud development, infrastructure setup, data engineering, data science, and generative AI use cases
  • Communicating findings and delivering insights to stakeholders and leadership teams
  • Traveling occasionally within Switzerland and abroad to engage with clients and work closely with the team at the Zurich headquarters

Technologies:

  • AI
  • Azure
  • Cloud
  • Databricks
  • Python
  • SQL
  • Spark
  • dbt
  • Data-Engineer
  • Data-Science

More:

A leading Swiss boutique consultancy is seeking a hands-on Data & AI consultants to establish and expand German operations in the data and AI sector.

Requirements

  • Degree in Computer Science or a comparable discipline
  • Minimum of 5 years of professional experience in a relevant position
  • Practical experience with modern data platforms and tools (e.g., Azure Data Factory, Databricks, Synapse, dbt, Palantir Foundry), along with strong skills in SQL, Python, and Spark
  • Proven experience in building and implementing generative AI solutions, such as RAG architectures, copilots, intelligent search systems, or workflow automation tools
  • Solid knowledge of data modeling concepts and data warehousing methodologies
  • Hands-on, pragmatic mindset with a strong focus on delivering results
  • Strong communication abilities and fluency in English

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