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Our client is looking for an experienced Data Platform Engineer to design, build, and support the data pipelines, reporting solutions, and business applications that power data-driven decision-making across the organization. This is a hands-on, high-autonomy role that blends data engineering, Power Platform development, and platform support on a modern Microsoft-centric stack — a great fit for an engineer who wants to build, not just maintain.
Job Responsibility
Design, develop, and support business applications, automation solutions, and system integrations that improve operational efficiency
Build, maintain, and optimize data pipelines, ETL/ELT processes, and data models to ensure accurate, reliable, and accessible information across multiple business systems
Create and enhance reporting, dashboards, and analytics that deliver actionable insights for operational and strategic decision-making
Develop and support Power Platform solutions — apps, workflows, and data models — to automate processes and boost productivity
Troubleshoot and resolve complex application, data, integration, and reporting issues using root cause analysis
Support platform infrastructure, deployment processes, automation frameworks, and monitoring/observability tooling
Maintain technical documentation and promote data governance, security, and process standardization
Requirements
Advanced proficiency with SQL and relational databases (SQL Server) — ability to query, manage, and support business data environments
5+ years of progressively responsible experience in data engineering, application development, systems integration, or analytics
Experience with Microsoft Fabric, Power BI, and DAX
Experience building and supporting ETL/ELT pipelines and orchestration tools (e.g., Airflow)
Proficiency using Python for automation, data processing, reporting, or application support
Demonstrated experience building and supporting business applications, automated workflows, integrations, and process automation
Bachelor's degree or an equivalent combination of education, certifications, and relevant experience
Nice to have
Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
Terraform, Kubernetes/containers, cloud technologies, and CI/CD pipelines
Monitoring and observability tools (Grafana or similar)
Relevant certifications: Power Platform, Microsoft Fabric, Power BI, Azure, data engineering, or DevOps