data engineer.

I am currently seeking a technical and driven Data Engineer to join the Digital Services team of an established not-for-profit health organization.

In this role, you will play a pivotal part in optimizing the platform by architecting and maintaining data pipelines, transformation scripts, and models to make healthcare data actionable. Key Responsibilities: - Lead Data Tasks: Oversee and execute data engineering tasks for operational and project activities.- Pipeline & Model Development: Create and modify data pipelines and models to meet solution requirements.- Stakeholder Collaboration: Work with teams and vendors to document technical requirements.- Quality Assurance: Test and remediate data products to ensure they meet performance standards.- System Optimization: Resolve data-related issues and develop permanent technical solutions.- Documentation: Prepare technical and training materials for users. Candidate Profile: - Education: Tertiary degree in Computer Science, Mathematics, or a related field.- Tech Stack: Proficiency in SQL, Python, or R.- Cloud Ecosystem: Experience with Azure Data Factory, Azure Synapse, Azure Databricks, SQL Server, and Power BI.- Data Theory: Strong understanding of data modeling and data warehouse concepts.- Frameworks: Experience with Agile, PRINCE2, or PMBoK, and tools like Jira or Azure DevOps.- Industry Context: Experience within a healthcare context is highly regarded. If you are interested in this opportunity, please let me know your availability for a brief discussion.

At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.