The Data Engineer will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and infrastructure within the Development Bank of Jamaica’s Azure-based environment. This role plays a critical part in enabling the Bank’s data warehouse strategy by ensuring high-quality, integrated, and analytics-ready data across the organization. PRINCIPAL DUTIES & RESPONSIBILITIES Key Responsibilities 1. Data Infrastructure & Pipeline Engineering Build, monitor, and maintain ETL/ELT pipelines using Azure Data Factory . Manage the ingestion and transformation of data from internal systems (LMS, CRM, ERP) and external sources. Utilize Azure Databricks for big data processing, cleaning, and enrichment. Design scalable data architectures supporting both real-time and batch workloads. 2. Data Quality, Governance & Security Implement data cleansing, normalization, and transformation processes. Ensure compliance with internal governance policies and data privacy regulations. Support data lineage tracking, metadata management, and contribute to the development of a data catalogue. 3. Database & Cloud Engineering Design and optimize relational and non-relational data models. Manage data storage using Azure Blob Storage and Azure SQL Database . 4. Collaboration and Support Support the development of dashboards and machine learning pipelines by preparing clean and structured datasets. Provide technical support for data operations and resolve data-related issues efficiently. The required minimum qualifications, experiences, and attributes are: Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field. Certification would be an asset Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Fundamentals (AZ-900) Databricks Certified Data Engineer Associate/Professional Hands on experience in : Azure data factory, Azure Databricks and Azure Synapse Analytics Azure blob storage, Azure SQL Database and SQL Server Data modelling, Schema Design and Data Transformation Working with structured and unstructured datasets Technical Skills: Data pipeline development (ETL/ELT) Data modelling and warehousing Cloud-native architecture on Azure Big data tools (Databricks, Spark) Soft Skills : Strong analytical and problem-solving ability Detail-oriented with a focus on data quality Ability to work in cross-functional teams Clear communication and documentation skills Initiative and accountability 3-5 years Data Engineering experience, with specific experience in Azure data services . Qualified applicants are invited to submit their applications by 17 th June 2025
