Azure Databricks + AI - Manager

Responsibilities

• Leading Azure Databricks data engineering workstreams for cloud-based analytics and AI initiatives
• Managing project plans, priorities, and deliverables across multiple client engagements and internal teams
• Designing and implementing data pipelines, data transformations, and data quality checks within Azure Databricks
• Developing data architecture, data models, and lakehouse solutions that support scalable analytics use cases
• Applying Azure Data Factory, Apache Airflow, and related orchestration tools to automate batch and streaming workflows
• Optimizing performance across data pipelines, query processing, and warehouse structures to improve processing efficiency
• Reviewing technical deliverables for accuracy, data integrity, and alignment with client requirements
• Coaching team members on data engineering methods, cloud tooling, and delivery approaches
• Identifying opportunities to apply AI fluency, digital tooling, and modern data modernization methods to client challenges
• Validating security, privacy, and data governance considerations across engineering solutions
• What You Must Have
• At least a Bachelor's degree
• At least 9+ years of experience
• Oral and written proficiency in English required
• What Sets You Apart
• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating Azure Databricks implementation across enterprise data platforms
• Utilizing Data Engineering, Data Integration, and Data Quality skills in delivery
• Managing client workstreams within Data Modernisation initiatives
• Coaching teams through analytics, AI, and cloud transformation efforts
• Applying agile delivery, analytical thinking, and strategic questioning
• Adapting to ambiguity while leading data modernization decisions