Data Engineer/Programmer 35K

This role focuses on building automation solutions, integrating AI capabilities, and delivering data migration initiatives while supporting enterprise applications and low-code platforms. The ideal candidate brings expertise in Power Platform technologies, data engineering, APIs, and stakeholder collaboration.

Our client is a well-established organization seeking to strengthen its technology capabilities through automation, data transformation, and low-code development initiatives. The role supports business process improvement and enterprise technology solutions in a professional corporate environment.

Description

• Design, build, and deploy solutions using Microsoft Power Platform technologies, including Power Automate, Power Apps, and robotic process automation (RPA) tools.
• Incorporate AI-driven capabilities into business workflows to improve automation and operational effectiveness.
• Ensure all solution development aligns with established IT security requirements and technology infrastructure standards.
• Develop, enhance, and maintain APIs to enable system connectivity and process integration.
• Lead data migration projects across platforms and applications.
• Architect and implement data infrastructure, data flows, and pipelines to support efficient migration and transformation activities.
• Apply data engineering best practices to maintain data quality, scalability, reliability, and performance.
• Maintain and enhance low-code development environments, including enterprise low-code platforms.
• Provide ongoing support for existing applications and automated processes, ensuring stability, performance, and a positive user experience.
• Partner with business and technical stakeholders to identify optimization opportunities and deliver continuous improvements.

Profile

• Demonstrated experience with Microsoft Power Platform technologies, including Power Automate, Power Apps, and RPA solutions.
• Familiarity with integrating AI capabilities into business operations and process automation initiatives.
• Strong knowledge of data engineering concepts, data migration activities, and data pipeline development.
• Hands-on experience working with low-code development platforms.
• Strong analytical, problem-solving, communication, and stakeholder management abilities.
• Experience participating in large-scale enterprise automation initiatives.
• Knowledge of cloud technologies such as Azure and AWS, as well as API development practices.
• Understanding of software development lifecycle (SDLC) methodologies and Agile delivery approaches.

Job Offer

• Competitive monthly salary.
• 14 days of annual leave.
• Temporary role with opportunities to contribute to key projects.