Data Engineer

Data Engineer with strong experience in Azure Data Factory, SQL, and

ETL/ELT pipeline development

Qualifications

Hands-on expertise in building scalable data pipelines across Azure Data

Lake, Synapse, and Databricks

Proven ability to design end-to-end data pipelines using modern

architectures (raw, staging, data mart layers)

Experience implementing Slowly Changing Dimensions (SCD Type 2) for

historical data tracking

Strong capabilities in data modelling including fact and dimension design,

data warehousing, and schema optimisation

Proficient in SQL development including stored procedures, query

optimisation, indexing, and performance tuning

Experience integrating multiple data sources including APIs, Salesforce,

CSV, and enterprise applications

Hands-on with Azure Databricks (PySpark) for data transformation and

preparation

Experience implementing Medallion architecture (Bronze, Silver, Gold)

for scalable analytics platforms

Strong exposure to cloud-based data ecosystems including Snowflake,

Azure SQL, and Synapse Analytics

Built reporting and analytics solutions using Power BI, including

dashboard development and DAX optimisation

Experience in pipeline monitoring, troubleshooting, and performance

optimisation to improve reliability and reduce costs

Familiar with CI/CD and deployment support using Azure DevOps

Technical Background

• Data warehousing and ETL/Data Engineering
• Oracle Database and PL/SQL
• Oracle ODI, PySpark
• MS Azure SQL Database and ADLS Gen 2 (delta)
• MS Azure Data Factory and DataBrick
• SQL and RDBMS technologies
• ERP-related projects and accounting datasets