We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of enterprise-scale data solutions. This role requires deep expertise in Azure-based data platforms, ETL pipeline development, and data integration across hybrid environments. The ideal candidate will bring strong technical leadership, a passion for data quality and governance, and the ability to collaborate across business and technical teams to deliver high-impact analytics solutions.

Responsibilities:

• Create and/or extend existing data models to include the data for consumption by the Analytics teams.
• Apply the relevant business and technical rules in the ETL jobs to correctly move data.
• Use the SDLC as defined including testing and aligning to release management .
• Must produce design documents that can be reviewed Design Authority.
• Build must align to Standards as defined by Enterprise Architecture.
• Includes KT, Hypercare and PGLS of work delivered.
• Design, develop, and maintain ETL pipelines using Azure Data Factory and Databricks.
• Implement data movement and transformation across cloud, on-premises, and hybrid systems.
• Ensure seamless data exchange and integration using Azure Synapse Analytics, Azure Data Lake, and SQL Server.
• Develop and consume RESTful and SOAP APIs for real-time and batch data integration.
• Work with API gateways and secure authentication methods (OAuth, JWT, API keys, certificates).
• Apply data validation, cleansing, and enrichment techniques.
• Execute reconciliation processes to ensure data accuracy and completeness.
• Adhere to data governance and security compliance standards.
• Troubleshoot ETL failures and optimize SQL queries and stored procedures.
• Provide operational support and enhancements for existing data pipelines.
• Partner with data analysts, business analysts, and stakeholders to understand data needs.
• Document data workflows, mappings, and ETL processes for maintainability.
• Share best practices and mentor junior engineers.

Experience:

• Matric and a tertiary qualification.
• Experience in large-scale enterprise data integration projects.
• 10+ years in data engineering, ETL development, and SQL scripting.
• Strong expertise in Azure Data Factory, Databricks, Synapse, and Pentaho.
• Proficiency in SQL, Python, PySpark, and performance tuning.
• Experience with Git, Azure DevOps, and CI/CD pipelines.
• Solid understanding of data modelling, warehousing, and governance.

Contact information

Ashley Singh