About this role
The team is seeking a skilled Data Engineer to join their dynamic data engineering team. In this role, you will contribute to the development of in-house products for the Data Foundation, collaborating closely with Data Engineering Leads, managers, and other DataOps teams. This position involves hands-on development work and will report directly to the Data Engineering Lead.
Key Responsibilities:
- Design and implement ETL pipelines to ensure seamless data integration.
- Develop and maintain data models and architecture to support business needs.
- Utilize Azure Databricks, Unity Catalog, and Delta Live Tables for data processing.
- Collaborate with cross-functional teams to enhance data quality and accessibility.
- Monitor and optimize data workflows and performance.
Required Skills & Qualifications:
- Expert proficiency in Python, Pyspark, and SQL.
- Experience with Azure Data Factory and Azure DevOps.
- Strong understanding of data modeling principles and architecture.
- Familiarity with logging and monitoring tools.
- Excellent problem-solving skills and attention to detail.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
- An opportunity to work in a collaborative and innovative environment.
- Access to cutting-edge technologies and tools.
- Professional development and growth opportunities.
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.