Azure Data Engineer (SQL Development / Azure Services)

IMPORTANT REQUIREMENT: Data Engineering, Azure Data Services and SQL design and development

Overview:
We are delighted to present an exciting opportunity for a skilled Azure Data Engineer. In this role, you will design, develop, and maintain data solutions that underpin clients’ digital transformation goals. The focus is on Microsoft technologies, particularly SQL, with a strong emphasis on cloud-based solutions.

Key Responsibilities:

Data Solutions Development

Design, develop, and implement data solutions using SQL and relevant scripting or programming languages to meet various client requirements.

Deliver data transformation and migration projects.

Collaboration and Integration

Work closely with cross-functional teams to seamlessly integrate data solutions into existing systems and workflows.

Ensure data integrity and security across all solutions.

Azure Cloud Expertise

Use Azure services to create scalable and secure cloud-based data architectures.

Troubleshoot and resolve data-related issues promptly.

Stay up-to-date with emerging technologies and best practices in data engineering and cloud services.

Skills and Qualifications:

1. Microsoft Technologies
   
   
   • Advanced proficiency in SQL (including query optimisation, stored procedures, and performance tuning for MS SQL Server or PostgreSQL).
     
     
   • Strong hands-on experience with scripting/programming languages for data solution development.
     
     
2. Azure Cloud
   
   
   • Proven knowledge of key Azure services, such as:
     
     
     • Azure Data Factory for ETL processes
       
       
     • Azure SQL Database and Azure Synapse Analytics/Microsoft Fabric for data storage and analysis
       
       
3. Data Engineering Fundamentals
   
   
   • Experience in data modelling and designing scalable, optimised data pipelines
     
     
   • Strong understanding of ETL/ELT processes and data transformation
     
     
   • Familiarity with data warehousing concepts, including star and snowflake schemas
     
     
4. Automation and Integration
   
   
   • Proficiency in PowerShell, Python, Spark, or Azure CLI for automating Azure services
     
     
   • Ability to integrate data solutions with enterprise systems and workflows
     
     
5. Security and Compliance
   
   
   • Working knowledge of Azure data security best practices (Azure Key Vault, RBAC, encryption)
     
     
   • Awareness of data compliance standards (e.g., GDPR)
     
     
6. Problem-Solving and Collaboration
   
   
   • Excellent analytical and troubleshooting skills
     
     
   • Strong communication skills to effectively collaborate with teams and stakeholders
     
     
7. Desirable Extras
   
   
   • Familiarity with Power BI or Tableau for data visualisation
     
     
   • Experience with Azure Databricks or Azure Machine Learning for advanced analytics and AI integration
     
     
   • Understanding of DevOps practices and CI/CD pipelines in Azure
     
     
   • Knowledge of C#/.NET