Design and implement data ingestion, transformation, and analytics workflows using Python and SQL
Develop and maintain analytical data models, including facts, dimensions, and KPIs
Integrate data from multiple enterprise systems and APIs (e.g., project management, finance, HR, DevOps, and SaaS platforms)
Build and maintain dashboards and reports using modern BI tools (Power BI preferred)
Administer and support SharePoint environments, including site structure, permissions, and data organization
Design and implement lightweight automation and workflow solutions for internal teams and clients (e.g., Power Apps, scripts, or low-code tools)
Support write-back or data input use cases where analytics and operational workflows intersect
Collaborate with technical and non-technical stakeholders to understand requirements and deliver usable, well-documented solutions
Participate in CI/CD practices, version control, and production data pipeline management
Troubleshoot data quality, performance, and integration issues across systems

Bachelor’s degree in Computer Science, Engineering, Data Science, relevant technical field, or substantial equivalent experience.
3+ years of experience using Python or other major programming languages for data ingestion, transformation, and analytics workflows
Solid SQL skills with experience designing analytical data models
Experience integrating data from multiple enterprise systems and APIs
Experience working with cloud-based data platforms (AWS preferred)
Experience delivering dashboards and analytics using modern BI tools (Power BI preferred)

Data Automation Engineer

Key skills