Senior Data AI Engineer

RED GLOBAL TRANSPORTES; Lavamünd; Hybrid; EUR 148.000 - 190.000; Teilzeit

Zusammenfassung

RED GLOBAL TRANSPORTES is seeking a Senior Data - AI Engineer for a Hybrid 8-month B2B contract. The role focuses on designing scalable data pipelines, analytics workflows, and AI initiatives across cloud platforms, with active involvement in migration projects.

Ideal candidates will have extensive experience in data engineering, Python/SQL, and BI tools, and will collaborate with stakeholders to deliver data-driven solutions. Swiss-based discussions expected, with hybrid work arrangements.

Qualifikationen

• 8+ years of experience in Data Engineering, Analytics, or AI.
• Strong expertise in Python, SQL, Data Modeling, ETL/ELT.
• Hands-on experience with Azure Data Factory, Databricks, Synapse, Data Lake.
• Experience with Google Cloud Platform (GCP) and Azure migration projects.
• Knowledge of Power BI and/or Tableau.
• Familiarity with AI/ML solutions.

Aufgaben

• Design and develop scalable data pipelines and integration solutions.
• Build and optimize data models, ETL/ELT processes, and analytics workflows.
• Support AI/ML and advanced analytics initiatives.
• Contribute to GCP-to-Azure migration activities and Azure data platform implementation.
• Collaborate with business and technical stakeholders to deliver data-driven solutions.

Kenntnisse

Python

SQL

Data Modeling

ETL/ELT

Azure Data Factory

Databricks

Synapse

Data Lake

GCP

Azure migration

Power BI

Tableau

AI/ML familiarity

Tools

Azure Data Factory

Databricks

Synapse

Data Lake

GCP

Power BI

Tableau

Jobbeschreibung

Senior Data - AI Engineer Hybrid 8 months B2B contract Opportunity

On behalf of one of our key partners, RED has now a new opportunity for a Senior Data - AI Engineer to start in October on a B2B 8 months contract, Hybrid, English writing and speaking.

Duration: October 2026 to June 2027

Location: Switzerland onsite discussion

Fluent in English, both written and spoken.

Required Skills

• 8+ years of experience in Data Engineering, Analytics, or AI.
• Strong expertise in Python, SQL, Data Modeling, ETL/ELT.
• Hands-on experience with Azure Data Factory, Databricks, Synapse, Data Lake.
• Experience with Google Cloud Platform (GCP) and Azure migration projects.
• Knowledge of Power BI and/or Tableau.
• Familiarity with AI/ML solutions.

Key Responsibilities

• Design and develop scalable data pipelines and integration solutions.
• Build and optimize data models, ETL/ELT processes, and analytics workflows.
• Support AI/ML and advanced analytics initiatives.
• Contribute to GCP-to-Azure migration activities and Azure data platform implementation.
• Collaborate with business and technical stakeholders to deliver data-driven solutions.