Full Time Senior Remote
Posted 4 days ago

Senior BI Platform & Data Automation Engineer (m/w/d) – Power BI, Power Automate & Microsoft Fabric

Automation Architecture & Maintenance Data Transformation (ETL) System & API Data Integration Customer Onboarding Microsoft Power Automate Snowflake Xero
loyos bi GmbH

Role Overview

Join loyos bi GmbH as a Senior BI Platform & Data Automation Engineer and take ownership of our platform architecture's technical foundation. You'll be responsible for developing and evolving our internal platform for customer onboarding and lifecycle management, focusing on deployment, setup, and automation logic.

This role offers the opportunity to architect scalable Power BI workspace structures, automate complex deployment processes, and build robust data models that support our growing customer base. You'll work at the intersection of business intelligence, data engineering, and automation, creating solutions that enable seamless multi-workspace orchestration while maintaining security and governance standards.

As a key technical contributor, you'll collaborate closely with Product, Customer Success, and Implementation teams to translate business requirements into stable, scalable technical architectures within the Microsoft Power BI and Fabric ecosystem.

Responsibilities

  • Develop and maintain architecture for Power BI workspace and deployment structures
  • Design and automate deployment and release processes using Power Automate and Power BI REST API
  • Model structured data models for customers, tenants, and versions with clean relational structures
  • Implement SQL-based logging, status tracking, and monitoring mechanisms
  • Orchestrate secure multi-workspace architectures while mitigating data leakage risks
  • Analyze dependencies between reports, datasets, and dataflows to ensure repeatable deployments
  • Develop stable ownership and governance logic for sales, support, and automation processes
  • Collaborate with cross-functional teams to translate requirements into technical architectures
  • Contribute to platform strategy development in Microsoft Power BI and Fabric environments

Requirements

  • Several years of experience in BI, data engineering, or automation environments
  • Strong understanding of relational data models and advanced SQL skills (JOINs, DML, stored procedures)
  • Advanced knowledge of Power BI (Datasets, Dataflows Gen1/Gen2, Deployment Pipelines, Rebinding, Service vs Desktop, Gateway & Credentials)
  • Multi-year experience with Power Automate (Cloud Flows, HTTP Actions, error handling, concurrency, asynchronous processes)
  • Understanding of REST APIs, OAuth fundamentals, and ability to read and analyze JSON structures
  • Ability to recognize systemic relationships and understand how structural changes affect multiple processes
  • Structured, precise work approach with high quality and security awareness
  • Excellent German language skills (written and verbal)

Nice to Have

  • Experience with Microsoft Fabric ecosystem
  • Background in platform architecture and scalable system design
  • Experience with multi-tenant SaaS environments

Benefits & Perks

  • Competitive salary based on experience and responsibility level
  • High flexibility in working hours and location with 100% remote work option
  • Access to co-working spaces or modern offices in Hamburg and Augsburg
  • WeWork membership available throughout Germany
  • Access to Udemy Business and continuous learning opportunities
  • Start-up culture without rigid hierarchies where ideas matter
  • Regular team events and strong team culture even in remote setup

About the Company

loyos bi GmbH is a growing company specializing in Business Intelligence solutions built on the Microsoft Power BI and Fabric ecosystem. The company operates with a start-up culture that values innovation and employee input while providing enterprise-level BI platform services to customers.

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Job summary

Employment Type

Full Time

Experience Level

Senior

Work Arrangement

Remote

Company

loyos bi GmbH

Posted

4 days ago

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