Data Engineer & Analyst Client Tech at Investec

• We are looking for a highly experienced Data Engineer & Analyst with deep knowledge of Azure technologies to work in our data infrastructure and insight-driven projects. This role combines engineering and analytical expertise to design, implement, and refine data systems while delivering actionable insights that support key business decisions.

Key Responsibilities

Data Engineering:

• Design, develop, and maintain robust and scalable data pipelines and ETL processes using   Azure Data Technologies.
• Ensure data accuracy and integrity through automated testing, validation, and monitoring systems.
• Work closely with data architects to design optimal data models and architectures that align with best practices.
• Implement and optimize data storage solutions on Azure, including Azure Blob Storage and Azure Synapse Analytics.
• Monitor and troubleshoot data workflows to ensure performance efficiency, reliability, and timeliness.

Data Analysis:

• Conduct detailed analysis of large datasets to uncover trends, patterns, and actionable insights to inform business Strategies.
• Build and manage dashboards and reports using Power BI ensuring they meet business requirements.
• Partner with stakeholders across the business to define data requirements and deliver insights aligned with strategic objectives.
• Present analytical findings to both technical and non-technical audiences in a clear, actionable format.

Qualifications, Experience and Skills

• Bachelor's degree in computer science, Data Science, Statistics, or a related field.
• 3+ years of hands-on experience in both data engineering and data analysis roles.
• Proficiency in Azure data services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, Microsoft Fabric.
• Strong programming skills in SQL and either Python or Scala.
• Experience with data visualization tools, preferably Power BI.
• Understanding of data warehousing concepts, methodologies, and best practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, with the ability to work effectively across technical and business teams.