
Senior Azure Data Engineering Manager
7 days ago
We are seeking a highly skilled and experienced professional to lead our Azure data engineering team. As a key member of this team, you will be responsible for designing, developing, and optimizing data pipelines using Azure and Databricks.
The ideal candidate is a hands-on problem solver who ensures efficiency in their own work while also helping the wider team become more productive and technically stronger. You will be working closely with cross-functional teams to deliver high-quality solutions with speed and precision.
Key Responsibilities:- Design, develop, and optimize data pipelines using Azure and Databricks
- Hands-on work with Databricks Asset Bundles (DABs) for continuous integration and delivery (CI/CD) and environment management
- Build and manage scalable extract, load, and transform (ELT)/extract, transform, load (ETL) workflows with Databricks, Delta Lake, Azure Data Factory (ADF), and other Azure services
- Continuously adopt and apply new Databricks features to accelerate delivery and improve performance
- Optimize Spark, SQL, and Python code for performance and scalability
- Apply software engineering best practices, such as test-driven development (TDD), CI/CD, modular design, and code reviews, to ensure a robust, maintainable, and strategic data ecosystem
- Mentor team members to improve overall team productivity and technical capability
- 8+ years of experience in data engineering with at least 5 years of hands-on experience in Azure and Databricks
- Strong expertise in:
- Databricks (Delta Lake, Databricks SQL, Workflows, Databricks Asset Bundles, MLflow basics, Unity Catalog)
- Azure Data Services (ADF, Azure Synapse Analytics, Azure Data Lake, Azure SQL)
- Python, SQL, Spark (with proven performance optimization skills)
- Strong knowledge of modern data architectures (Lakehouse, governance)
- Efficiency-driven mindset – focused on speeding up both personal and team delivery
- Strong communicator within the team, able to share knowledge and mentor effectively
- Highly motivated, proactive, and results-oriented
- Ability to work in a fast-paced environment with quick turnarounds
- Team-first approach – drives collective improvement and efficiency
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