Data Engineer
Core
Design and implement scalable data models, build and maintain Azure Synapse Analytics lakehouses, and develop ETL/ELT solutions to support enterprise reporting and analytics.
Role type
Data Engineer
Builds
Azure Synapse Analytics lakehouses, SQL databases, data pipelines, Power BI datasets, dashboards, and reports
Domain
Retail / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Spark/PySpark, Power BI (DAX, data modelling), dimensional modelling, ETL/ELT pipeline development
Preferred skills
Dynamics 365 Commerce, Dataverse, Power Platform, Copilot Studio, retail industry data environments
Technologies
Azure Synapse Analytics, Azure Data Factory, T-SQL, Python, PySpark, Power BI, Dynamics 365, Dataverse
Responsibilities
Design and implement scalable data models using fact and dimension tables; Build and maintain Azure Synapse Analytics lakehouses, SQL databases, data pipelines, notebooks, and data flows; Develop ETL/ELT solutions; Integrate data from multiple sources ensuring accuracy and consistency; Create and maintain Power BI datasets, dashboards, and reports; Optimise Power BI models and SQL queries for performance; Implement best practices in data governance, validation, cleansing, and transformation
Seniority
Mid-level (3+ years experience)
