Our client empowers organizations worldwide to strategically acquire and optimize software investments, embrace cloud and AI technologies, and drive innovation through enhanced efficiency. They are a trusted advisor in strategic software acquisition, continual IT estate optimization, and maximizing returns on investments in cloud, data, and AI. 

We are seeking a Data Engineer to design and implement data solutions in Microsoft Azure. As a Data Engineer, you will operate within some of our most versatile and complex client environments, utilizing technologies such as ETL tools, SQL and Python.

• Bachelor’s degree in Computer Science, IT, or a related field
• Minimum 2 years of Databricks and 4 years of Azure experience (certifications preferred)
• Experience as a Data Architect/Engineer with hands-on expertise in Data Lakehouse, Data Lake, and Data Warehouse design
• Strong knowledge of Databricks, Data Lakes and Spark
• Strong experience with Azure Platform Services (Identities, Network, Storage)
• Proficiency with Azure Data Services, including Azure Data Factory, Azure SQL
• Experience with streaming data technologies like Databricks Streaming, Kafka, Azure Streaming Services
• Experience with Azure DevOps especially Azure Pipelines
• Proficiency in Python, PySpark, SQL
• Familiarity with DataOps

• Opportunity to gain MS certifications
• Flexible working conditions
• Opportunity for professional development
• Freedom to develop independent processes within your team. Our client believes that employees deliver better results when given autonomy and responsibility. 
• Open communication; through a flat organizational hierarchy, they are agile and able to respond as a cohesive team