Seeking a skilled Data Engineer Advisor to join our team. This role focuses on leveraging advanced SQL and data analysis to build robust data solutions.

We are looking for individuals experienced in Agile delivery frameworks and cloud-based data technologies. A proven ability to implement solutions within large system integration projects is key.

Ideal candidates will possess strong technical skills in SQL and Python, coupled with a deep understanding of data warehousing and ETL/ELT processes. Experience with cloud platforms, particularly Azure, is highly desirable.

Design and implement data pipelines using Azure Databricks and Azure Data Factory, ensuring secure and efficient data flow.

Apply advanced SQL programming and data analysis techniques to extract insights and support business needs.

Collaborate with cross-functional teams using Agile methodologies like Scrum or SAFe, utilizing tools such as Jira or Azure DevOps.

Contribute to the migration of data and associated systems from on-premises environments to cloud platforms.

Provide technical guidance and support for data warehousing and ETL/ELT solutions.

Minimum of 4 years of advanced SQL programming experience and 2 years in data analysis.

Proficiency with Agile delivery frameworks and tools (e.g., Scrum, SAFe, Jira, Azure DevOps).

Hands-on experience with ETL tools and data orchestration, such as Azure Data Factory and Databricks.

Familiarity with data modelling, data warehouse design, and architecture principles.

Experience with cloud platforms, with a preference for Azure.

Excellent verbal and written communication skills for effective collaboration with technical and business stakeholders.