Position Overview & Specifications
BI Data Developer/Engineer.
Business Intelligence / SQL / Azure SQL data warehousing / Microsoft SQL Server or Azure SQL DB / ETL / ELT / Data Lake / Kimball data modelling / Azure DevOps
The Data engineers will build and deliver the components of an effective Analytics platform; leveraging data warehouse storage, utilising Azure Data Factory for data integration and Power BI for end-user data analytics and reporting.
This role will play a critical part in the architectural design and implementation of these elements - capable of meeting a wide range of reporting/analytics needs. This role will encompass a mix of hands-on technical development and strategy development; supporting the faculty to continue its journey to develop its analytics platform on next-generation technology.
Skills needed
- SQL Data Warehousing
- Experience of cloud architectures and solutions, especially Azure ADF
- Azure Data Factory with experience building and debugging pipelines.
- Microsoft SQL Server
- Data modelling
- Develop BI/MI solutions
- Azure Data Lake
Desirable Skills and Knowledge
- Azure DevOps/Jira
- Agile development
- Power BI (Tabular Model)
- Kimball data modelling
- DAX
- Meta-data driven ETL
What you will be doing:
- Work in an agile, proactive manner delivering high-quality solutions in agreed timescales.
- Design and develop ETL/ELT processes, data warehouse database architecture, Tabular Model, reports and dashboards; in-line with company reporting strategy and best practise.
- Design and develop models and databases both relational and dimensional to support reporting requirements.
- Assist in developing standards for data warehouse, data ingestion, data access layers and BI solutions
- Help mentor, steer and supervise your team from a technical standpoint while influencing technical direction
- Ensure the University maintains a low technical debt & identify an area for automation (CI/CD pipelines) and continuous improvement