Senior Data AI Engineer

more-jobs; Schweiz; Remote; CHF 140.000 - 170.000; Vollzeit

Zusammenfassung

RED Global is seeking a Senior Data & AI Engineer to join a long-term data transformation programme based in Switzerland. The role is remote, with delivery expected from Switzerland.

You will design scalable data pipelines, build ETL/ELT processes and data models, and migrate workloads from GCP to Azure. You will work with Azure Data Factory, Databricks, Synapse and Azure Data Lake to enable AI and analytics initiatives and collaborate with business and technical stakeholders.

Qualifikationen

• Experience designing and developing scalable data pipelines and integration solutions.
• Experience with ETL/ELT processes and data modeling.
• Experience migrating data platforms and workloads across cloud providers (GCP to Azure).
• Hands-on with Azure Data Factory, Databricks, Synapse and Azure Data Lake.
• Experience supporting AI/ML and analytics initiatives.

Aufgaben

• Design and develop scalable data pipelines and integration solutions.
• Build and optimise ETL/ELT processes, data models and analytics workflows.
• Support migration of data platforms and workloads from GCP to Azure.
• Work with Azure Data Factory, Databricks, Synapse and Azure Data Lake.
• Support AI/ML and advanced analytics initiatives.
• Collaborate with business and technical stakeholders to deliver data-driven solutions.

Kenntnisse

Data pipelines

ETL/ELT

Azure

Databricks

Synapse

Data Lake

AI/ML

Stakeholders

Tools

Azure Data Factory

Databricks

Azure Data Lake

Azure Synapse

Jobbeschreibung

Senior Data & AI Engineer | Remote Switzerland | Contract

RED Global is currently looking for a Senior Data & AI Engineer to join a long-term data transformation programme based in Switzerland.

Key Details

Role: Senior Data & AI Engineer

Location: Switzerland - Remote

Start: ASAP

Duration: Until June 2027

Responsibilities

• Design and develop scalable data pipelines and integration solutions
• Build and optimise ETL/ELT processes, data models and analytics workflows
• Support migration of data platforms and workloads from GCP to Azure
• Work with Azure Data Factory, Databricks, Synapse and Azure Data Lake
• Support AI/ML and advanced analytics initiatives
• Collaborate with business and technical stakeholders to deliver data-driven solutions