Senior Data Engineer — Azure Cloud Platform (Remote)

Talent 4.0 BVBA; Genf; Hybrid; GBP 82,000 - 136,000; Full time

Job summary

Talent 4.0 BVBA is seeking a Senior Data Engineer with strong Microsoft Azure experience for a Geneva-based or fully remote role in Europe. You will collaborate with Cloud and Data Architects to shape prototypes, architecture, and data models while ensuring security and interoperability across platforms.

The role requires 5+ years in data engineering, proficiency in Azure data services, and fluent English. Long-term engagement with flexible remote options is offered.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• 5+ years of experience as a Data Engineer.
• Extensive experience with Microsoft Azure and cloud technologies.
• Experience with data modeling, data warehousing, and BI.
• Proficient in Python, Java or Scala and SQL.
• Fluent in English, strong communication skills.

Responsibilities

• Plan milestones to deliver the Cloud Data Platform Architecture.
• Lead development and technical implementation aligned to the Data Platform Architecture.
• Develop conceptual, logical and physical data models for interoperability and APIs.
• Create data pipelines using Databricks and ingest data into SQL, Cosmos DB or Synapse Analytics.
• Automate DevOps and lifecycle workflows; manage repositories and ARM templates.
• Assess short-term data solution options to meet urgent demands.
• Provide data insights and best practices reflected in development.

Skills

Azure

SQL

Python

Java

Data Modeling

Data Warehousing

Education

Bachelor's degree

Master's degree

Tools

Cosmos DB

Synapse Analytics

Databricks

SQL databases

Job description

Talent 4.0 BVBA is seeking a Senior Data Engineer with strong Microsoft Azure experience for a Geneva-based or fully remote role in Europe. You will collaborate with Cloud and Data Architects to shape prototypes, architecture, and data models while ensuring security and interoperability across platforms.

The role requires 5+ years in data engineering, proficiency in Azure data services, and fluent English. Long-term engagement with flexible remote options is offered.