About this role
The team is seeking a Lead Data Engineer with a strong background in Azure Databricks to join their dynamic team. This role is ideal for a professional who is passionate about data engineering and has a proven track record of leveraging cloud technologies to drive data solutions.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Azure Databricks.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet business needs.
- Optimize and enhance existing data workflows for performance and reliability.
- Implement best practices for data governance, security, and compliance.
- Mentor and lead junior data engineers, fostering a culture of continuous learning and improvement.
Required Skills & Qualifications:
- Strong expertise in Azure Databricks, PySpark, SQL, and Python.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Familiarity with cloud services, particularly within the Azure ecosystem.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Strong communication skills to liaise with stakeholders and technical teams.
Experience:
- Minimum of 7 years of experience in data engineering or related fields, with a focus on Azure technologies.
What we offer:
- A collaborative and innovative work environment.
- Opportunities for professional growth and development.
- Flexible working arrangements with a hybrid model.
- A chance to work on cutting-edge data solutions and technologies.
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.