Full-Time WBG Data Engineer

Project - The Strategic Data Foundations (SDF) programme aims to enhance Client's data management capabilities by outsourcing the Enterprise Data Management (EDM) platform and data mastering and cleansing processes to a third-party vendor, Rimes. This initiative is part of our broader strategy to improve data quality, governance, and accessibility across Client.

Position - Develop and Maintain Data Pipelines: Design, build, and optimize scalable data pipelines to support the Enterprise Data Management (EDM) platform and integration with third-party vendor Rimes.

1. Data Integration & Transformation: Implement ETL (Extract, Transform, Load) processes to clean, structure, and enrich data for improved accessibility and usability across the organization.
2. Data Quality & Governance: Support data mastering and cleansing processes, ensuring high data accuracy, consistency, and compliance with governance standards.
3. Database & Infrastructure Management: Maintain and optimize databases, cloud-based data platforms, and data storage solutions to ensure reliability and performance.

Collaboration with Stakeholders: Work closely with data analysts, data scientists, and business teams to understand data requirements and deliver solutions that meet business needs.

Monitoring & Performance Optimization: Continuously monitor data workflows, troubleshoot issues, and enhance system performance to ensure seamless data operations.

Automation & Efficiency Improvements: Leverage automation tools and scripts to streamline data processing and minimize manual efforts.

Expectations - At least 4+ years of commercial experience in technologies listed below:

• Languages: .NET, C#, SQL
• Frameworks: nUnit, xUnit, Moq
• Platforms: Azure Service Bus, Kubernetes (AKS), Snowflake
• Tools: Git, Azure Pipelines

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