About this role
The team is seeking a Data Engineering Lead to oversee the design and implementation of scalable data solutions. In this role, you will be responsible for creating reliable data pipelines and managing ETL/ELT workflows for both batch and near-real-time processing. You will also develop and maintain data models across various systems to support analytical and operational needs.
Key Responsibilities:
- Design and build scalable data pipelines and ETL/ELT workflows.
- Develop and maintain data models in relational (SQL Server) and NoSQL (MongoDB, Atlas) systems.
- Build and manage data solutions on Microsoft Fabric, including Lakehouses, Warehouses, Dataflows, and Pipelines.
- Drive AI-enabled development initiatives to enhance data processing capabilities.
- Collaborate with cross-functional teams to ensure data solutions meet business requirements.
Required Skills & Qualifications:
- Strong experience with data pipeline design and ETL/ELT processes.
- Proficiency in SQL Server and NoSQL databases like MongoDB.
- Experience with Microsoft Fabric and its components.
- Familiarity with AI technologies and their application in data engineering.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Experience:
- 5-8 years of experience in data engineering or a related field.
What we offer:
- An opportunity to lead innovative data projects in a dynamic environment.
- A collaborative team culture that values creativity and initiative.
- Opportunities for professional growth and development.
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.