Senior Azure Data Platform Engineer (Databricks & AI Solutions)

Location

Remote with occasional travel to Madrid, Spain

Contract Duration

10+ Months

Role Overview

We are seeking an experienced
Azure Data Platform Engineer
to join a strategic transformation programme within a global heavy manufacturing organisation. The successful consultant will play a key role in designing, developing, and enhancing cloud-based data platforms that support enterprise reporting, advanced analytics, and AI-driven initiatives.

The adecuado candidate will have deep expertise across the Microsoft Azure data ecosystem, particularly
Azure Databricks
, alongside strong SQL and Python development capabilities. Exposure to
Azure AI Foundry
or similar Azure AI services will be highly advantageous.

Key Responsibilities
- Design, develop, and maintain scalable data platforms within Microsoft Azure
- Build and optimise data pipelines supporting analytics, reporting, and AI use cases
- Develop and support ETL/ELT processes using Azure-native technologies




- Implement robust data engineering solutions using Azure Databricks and Spark/PySpark
- Work closely with business and technical stakeholders to understand requirements and deliver effective solutions
- Ensure high standards of data quality, performance, security, and reliability
- Support AI and machine learning initiatives through modern Azure services
- Contribute to data architecture, governance, and platform best practices
- Collaborate with cross-functional teams in a distributed international environment

Required Experience
- 5+ years of Data Engineering experience
- Strong hands-on expertise with
Azure Databricks
- Advanced
SQL
and
Python
development skills
- Experience with
Spark/PySpark
and large-scale data processing
- Strong understanding of data modelling, data warehousing, and data integration concepts
- Experience with Azure Data Factory, Synapse Analytics, and other Microsoft Azure data services
- Proven experience designing

📌 Senior Azure Data Platform Engineer (Madrid)
🏢 Global Enterprise Partners
📍 Madrid