Data Engineer - Excel & Active X
Summary
Fully remote B2B Data Engineer joining Data Edge's partner team to build, automate, and maintain data workflows using Python, Excel-based solutions (including ActiveX components), and Microsoft Fabric — extracting, transforming, and validating data while troubleshooting pipelines and documenting processes.
We are looking for an experienced Data Engineer to join our partner's team and contribute to data processing, automation, and integration initiatives. In this role, you will work with Excel-based solutions, ActiveX technologies, Python, and Microsoft Fabric to support efficient data workflows, improve existing processes, and deliver reliable data solutions.
Contract type: B2B
Work model: Fully Remote
Key Responsibilities
Develop, maintain, and optimize data processing and automation workflows using Python and Excel.
Work with Excel-based solutions, including ActiveX components, to support business processes and data operations.
Automate repetitive data-related tasks and improve existing workflows to increase efficiency and reliability.
Work with Microsoft Fabric to support data integration, transformation, and processing activities.
Extract, transform, validate, and organize data from multiple sources.
Ensure data accuracy, consistency, and quality across data processing workflows.
Troubleshoot, debug, and resolve issues related to data pipelines, Excel automation, and existing solutions.
Identify opportunities to improve data workflows, automation processes, and overall operational efficiency.
Collaborate with business stakeholders and technical teams to understand requirements and deliver effective data solutions.
Maintain clear documentation of data processes, automation scripts, and technical solutions.
Follow best practices for code quality, data management, and maintainable solution design.
Requirements
Proven professional experience in Data Engineering, Data Automation, or a similar technical role.
Strong hands-on experience with Python for data processing and automation.
Practical experience with Microsoft Excel, including advanced functionality and automation.
Experience working with ActiveX components or controls, preferably in Excel-based applications.
Familiarity with Microsoft Fabric and its data engineering capabilities.
Understanding of data extraction, transformation, validation, and integration processes.
Experience troubleshooting and optimizing data processing workflows.
Ability to write clean, efficient, reusable, and maintainable Python code.
Strong analytical and problem-solving skills, with attention to detail.
Good communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
Ability to work independently, take ownership of assigned tasks, and deliver results within the agreed project timeline.