Purpose
• The Data Engineer Specialist designs, develops, and maintains data pipelines and infrastructure on Microsoft Azure and Azure Databricks to support the creation of scalable data products for International Banking. Reporting to the Senior Data Engineer, this role focuses on implementing robust, efficient, and secure lakehouse-based data solutions that enable data-driven decision-making and support business objectives across International Banking markets, while contributing to the migration and rationalization of legacy workloads onto the Azure Databricks target platform.
Accountabilities
- Build, test, and maintain data pipelines and ETL/ELT processes on Azure and Azure Databricks (Delta Lake, medallion architecture) to ensure reliable and efficient data flow for data products.
- Collaborate with the Senior Data Engineer and cross-functional teams (Data Scientists, Product Owners, Architecture, and Platform Engineering) to understand requirements and deliver high-quality data solutions aligned with international business goals.
- Implement data models, schemas, and transformations (dimensional and Data Vault patterns) to support analytics and reporting needs.
- Ensure data quality, integrity, and performance by monitoring and optimizing data pipelines, including performance tuning and cost optimization (FinOps) of Spark workloads.
- Adhere to and help apply data governance, security, and compliance standards within Azure environments, including Unity Catalog, role-based access control, data lineage, encryption, and key management.
- Troubleshoot and resolve issues in data pipelines to minimize downtime and ensure operational efficiency, performing root-cause analysis where needed.
- Contribute to the adoption of best practices and tools for data engineering, including documentation, automated testing, and DevOps/DataOps practices.
- Support the migration and rationalization of legacy workloads (including existing Google Cloud Platform estates) onto the Azure Databricks target platform, minimizing business and regulatory risk.
- Stay updated on modern Azure and Databricks data engineering trends and tools to enhance pipeline capabilities.
Reporting Relationships
Primary Manager:
Direct Reports:
Shared Reports NA
Dimensions NA
Education / Experience / Other Information (include only those that are specific to the role)
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Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Software Engineering, or a related field.
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Relevant cloud or data engineering certifications (Databricks, GCP, Azure, AWS) are considered a plus.
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Hands-on experience with Azure Databricks, including data pipeline development, Delta Lake, Spark, notebooks, workflows, Unity Catalog, and Lakehouse architecture.
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Familiarity with DevOps and DataOps practices, including Git-based version control, CI/CD pipelines, automated testing, and deployment processes.
Competencies
Working Conditions
Work in a standard office-based environment; non-standard hours are a common occurrence
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