Azure Data Lake Data Platform Specialist

Job Description:

• Design, develop, and maintain data ingestion pipelines, establishing standards for data ingestion, transformation, and storage
• Integrate data from multiple management and financial systems (batch and streaming)
• Design and implement a modern data platform using Azure (ADLS Gen2-based architecture)
• Define data architecture patterns, including medallion (bronze/silver/gold) layers
• Build scalable ETL/ELT pipelines using Azure Data Factory
• Handle diverse data formats (structured, semi-structured)
• Structure and manage data using bronze/silver/gold layers (medallion architecture)
• Optimise data storage, partitioning, and performance
• Integrate ADLS with Azure Data Factory (ADF), Azure Synapse Analytics / Databricks, and Power BI and downstream analytics tools
• Implement data governance, security, and access controls (RBAC, IAM, ACLs)
• Ensure data quality, lineage, and metadata management
• Support business teams with data modelling and availability
• Monitor performance and troubleshoot data platform issues
• Define and implement access control (RBAC, ACLs) and data security and compliance standards.

Requirements:

• Proven experience designing and implementing Azure data platforms
• Strong hands-on experience with Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF)
• Experience integrating ERP and finance systems (SAP highly desirable)
• Strong SQL and Power Query skills and experience working with large datasets
• Experience with data modelling for financial reporting
• Proficiency in Python or Spark (Databricks preferred but not essential)
• Experience building end-to-end data pipelines
• Understanding of data lake vs warehouse vs Lakehouse patterns and financial data structures and reporting requirements.

Benefits:

• Flexible Working
• Room to Grow
• Everyone has a voice
• Extensive benefits including healthcare, retirement plans, continued education support, and employee recognition programs.