Data Engineer

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.

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