About this role
The team is seeking a Lead Azure Data Engineer to join their dynamic team. This role is essential in driving data solutions that support innovative life sciences services. The ideal candidate will leverage their expertise in Azure technologies to enhance data management and analytics capabilities.
Key Responsibilities:
- Design and implement data solutions using Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Optimize data pipelines for performance and scalability, ensuring high data quality and reliability.
- Mentor junior data engineers and provide guidance on best practices in data engineering.
- Stay updated with the latest Azure features and industry trends to continuously improve data solutions.
Required Skills & Qualifications:
- Strong experience with Azure cloud services, particularly in data engineering.
- Proficiency in SQL and data modeling techniques.
- Experience with ETL processes and tools, especially Azure Data Factory.
- Familiarity with programming languages such as Python or C#.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Experience:
- A minimum of 5-8 years of experience in data engineering, with a focus on Azure technologies.
What we offer:
- An opportunity to work in a collaborative and innovative environment.
- Professional development and career advancement opportunities.
- The chance to contribute to impactful projects in the life sciences sector.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.