Our client is seeking an experienced Data Warehouse Specialist to design, develop, and support enterprise data warehouse, lakehouse, and analytics platforms using modern Microsoft technologies.
Working within a collaborative technology team, you will build scalable data pipelines, develop trusted data products, and enable data-driven decision-making across a large enterprise environment.
Key Responsibilities
- Design and maintain data warehouse and lakehouse solutions.
- Develop ETL/ELT pipelines using Databricks and Azure Data Factory.
- Build data integrations from APIs, enterprise systems, and external sources.
- Develop solutions using Python, PySpark, SQL, Azure SQL, and Microsoft Fabric.
- Deliver Power BI datasets, reports, and dashboards.
- Implement data quality, governance, lineage, and monitoring frameworks.
- Support CI/CD deployments using Azure DevOps and Git.
- 5+ years' experience in Data Engineering, Data Warehousing, or Analytics.
- Strong experience with:
- Databricks
- Azure Data Factory
- Azure SQL
- Power BI
- Python / PySpark
- Experience designing enterprise-scale data warehouse and lakehouse solutions.
- Strong SQL and dimensional modelling (Kimball) expertise.
- Experience with API integrations and Azure DevOps CI/CD pipelines.
- Knowledge of Microsoft Fabric, Delta Lake, and Unity Catalog will be highly regarded.
- Work on large-scale cloud data transformation initiatives.
- Exposure to the latest Azure, Databricks, and Microsoft Fabric technologies.
- Flexible hybrid working arrangements.
- Competitive salary and long-term career opportunities.
Peoplebank and Leaders IT are committed to creating a diverse and inclusive workplace where everyone belongs. We welcome applications from people of all backgrounds, identities, and experiences. If you need adjustments to the recruitment process due to your circumstances, please let us know—we’re here to support you.
