Location: London, England, United Kingdom
Salary: Not disclosed
Description At Clarion, our people are at the absolute heart of what we do. We're proud that our core values of PASSION , CARE , IMAGINATION , and TRUST define the way we carry out our work across all of our exhibitions and conferences.
If you share our values and want to be a part of a successful, dynamic, and creative global business then we want to hear from you.
The Opportunity:
Clarion Digital has an exciting yet ambitious plan to scale our existing digital business model and diversify into other digital media products across multiple Clarion portfolios.
To support this growth, Clarion requires an outstanding Azure Data Engineer to join the Data and Analytics team. You will be responsible for designing, developing, and implementing data migration solutions. Your expertise in Azure services, data integration, and Terraform will be essential as we build innovative solutions for our transformation programmes.
Key Responsibilities
- Data Migration: Migrate data from existing Big Data platforms into Dynamics 365, Data Verse and other Azure data environments. Migrating from hand-rolled Code-based ETL processes to modern Azure Cloud Computing solutions
- Data Aggregation: Aggregate from smaller data sources and SaaS platforms into our Microsoft data environments
- Azure Development: Utilize Azure Data Factory, Azure Functions, and Logic Apps to create robust data pipelines and workflows.
- Data Pipelines: Designing and building of data pipelines in Azure Data Factory and SSIS with Kingsway Soft.
- Integration: Integrate data from various sources into D365 and Data Verse, ensuring data consistency and quality.
- Infrastructure Management: Use Terraform for provisioning and managing infrastructure as code (IaC) to ensure consistent and scalable environments.
- Code Management: Utilise Git for version control and codebase management.
- Collaboration: Work closely with cross-functional teams, including IT, marketing, and customer success, to understand data requirements and deliver solutions.
- Automation: Implement CI/CD pipelines using Azure DevOps to automate deployment processes and ensure efficient data migration.
- Monitoring and Optimization: Monitor data pipelines and workflows, troubleshoot issues, and optimize performance for scalability and reliability.