TASKS:
Automation of EPD creation with focus on an internal Power Platform application and an end-to-end data chain from source systems to business validation. Microsoft Fabric serves as the central data engineering foundation for preparation, consolidation and provisioning of EPD-relevant data. Additionally, API services were implemented for Eventhouse connectivity and real-time composition of data across country borders to enable EPD creation in multiple regions. AI tools for detecting data gaps and validating EPD content in review processes were tested and integrated into production. The API services run cloud-native on Kubernetes, are provisioned via Terraform and rolled out with Helm and ArgoCD (GitOps); event streaming is handled via Apache Kafka.
Power Platform & App Implementation:
? Design and implementation of an internal application for EPD automation based on the Microsoft Power Platform
? Digitalization of key EPD process steps including data capture, status control and review support
? Integration of Dataverse structures for consistent business data management
? Orchestration of recurring workflows with Power Automate
? Close alignment with business departments and review stakeholders to iterate app functionality
Data Engineering with Microsoft Fabric:
? Development and operation of data engineering pipelines in Microsoft Fabric
? Implementation of ETL processes and data transformations with Data Factory pipelines
? Use of OneLake, Data Factory and Lakehouse for the consolidated data foundation
? Preparation and harmonization of EPD-relevant source information for downstream processes
? Modeling of bronze/silver/gold data structures for EPD use cases
? Implementation of reusable data quality and plausibility checks
API Services & Real-Time Integration:
? Development of API services for connecting Microsoft Fabric Eventhouse
? Integration of event streams via Apache Kafka for real-time data processing towards Eventhouse
? Real-time aggregation and composition of EPD-relevant data for downstream services
? Building cross-country data flows to enable EPD creation in multiple regions
? Provision of stable interfaces for consuming business applications and automations
? Provisioning of the Azure infrastructure with Terraform (Infrastructure as Code)
? Containerized deployments on Kubernetes with Helm charts and GitOps rollouts via ArgoCD
? Monitoring of the API services and event flows with Prometheus and Grafana including custom Grafana dashboards for metrics and throughput
? Setup of alerting for critical services and data flows with Grafana Alerting and Application Insights
AI Integration & Validation:
? Execution and evaluation of AI POCs for EPD-related automation cases
? Use of AI to identify data gaps and incomplete inputs
? Implementation of AI-supported validation logic for EPD content in review processes
? Building traceable validation steps with source references for business approvals
? AI-assisted development with Claude Code and GitHub Copilot including custom agents, skills and workflows in the delivery process
? Context engineering and building AI pipelines and harnesses for reproducible agent results