Azure Data Engineer
Posted 3 days ago by Konvergent Ltd
£550 Per day
Outside
Undetermined
London, UK
Summary: Azure Data Engineer role focused on driving digital transformation in the pharmaceutical or healthcare sectors. The position involves modernising data infrastructure and developing scalable solutions for market access decisions. Key responsibilities include integrating enterprise data services and automating data feeds for real-time information availability. The role requires collaboration on multiple initiatives to enhance data accessibility while ensuring security and governance.
Key Responsibilities:
- Drive digital transformation initiatives impacting patient access to medicines.
- Modernise data infrastructure and develop scalable solutions for market access decisions.
- Integrate enterprise data service layers for seamless data flow across the organisation.
- Develop self-service capabilities for business users while maintaining security standards.
- Design and implement automated data feeds for real-time availability of critical information.
Key Skills:
- Knowledge of data warehousing, data modelling, ETL, and ELT processes.
- Proficiency in Python, SQL, and potentially Scala.
- Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
Salary (Rate): £550 per day
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Azure Data Engineer with experience in the pharmaceutical or healthcare sectors. This is an exciting opportunity to drive digital transformation initiatives that directly impact patient access to life-changing medicines. You will play a crucial role in modernising the data infrastructure and developing scalable solutions that support critical market access decisions across global markets.
You will be across multiple key initiatives in the data space and work on aspects such as enterprise data service integration layers, creating robust connections between disparate systems to enable seamless data flow across the organisation. You will be responsible for developing Enterprise Data Service (EDS) self-service capabilities, empowering business users with direct access to the data they need whilst maintaining security and governance standards. Additionally, you will design and implement automated data feeds that eliminate manual processes and ensure Real Time availability of critical market access information
Your Experience
- Data Engineering Concepts: Knowledge of data warehousing, data modelling, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) processes.
- Programming Languages: Proficiency in Python, SQL, and potentially Scala.
- Azure Services: Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, and other relevant services.
Outside of IR35