Data Engineer
Summary
Build and optimize ETL/ELT pipelines in Azure Databricks, integrate data sources, and maintain scalable data architectures for a growing data team.
Work with modern Azure and Databricks technologies.Join a growing data team with strong development opportunities.
- Design, build and optimise ETL/ELT pipelines within Azure Databricks.
- Develop and maintain scalable data integrations with internal and external systems.
- Implement and manage modern data architectures and data models.
- Monitor, maintain and improve data platform performance and reliability.
- Build and support CI/CD processes and deployment pipelines.
- Collaborate with analysts, engineers and business stakeholders to deliver data-driven solutions.
- Design, build and optimise ETL/ELT pipelines within Azure Databricks.
- Develop and maintain scalable data integrations with internal and external systems.
- Implement and manage modern data architectures and data models.
- Monitor, maintain and improve data platform performance and reliability.
- Build and support CI/CD processes and deployment pipelines.
- Collaborate with analysts, engineers and business stakeholders to deliver data-driven solutions.
Our client is a forward-thinking organisation operating in a complex and data-driven environment. With a growing emphasis on innovation and continuous improvement, they are seeking talented professionals who can help shape and support their evolving technology landscape.
- Permanent employment contract.
- Competitive salary package based on experience.
- Hybrid working opportunities and flexible working arrangements.
- Attractive pension scheme and additional benefits.
- Access to training, certifications and professional development opportunities.
- Opportunity to work with modern cloud and data technologies.